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INTRODUCTION

With a vast coastal diversity and heterogeneous forest, Region 1, popularly known as the Ilocos Region, is envisioned to be the northern springboard of environment and development in Asia. With its improving economic growth and with the capacity to produce high quality products extracted from the diversified resources, Region I will surely achieve its development vision in the years to come.

However, the need to give attention to the resources or raw materials of the Region is very important. The environment and the economy should intricately merge and work together to suppress or lessen resource depletion and destruction which results to environmental degradation and consequently, lead to economic vulnerability.

There are many things to watch out for in the region’s development. Resource degradation brought about by anthropogenic activities such as improper waste disposal, excessive use of inorganic fertilizers, and deforestation may result to loss of biological diversity, water scarcity, aerobic pollution and other environmental problems which could affect the ecosystem of the things we need for survival.

In context, development in the Region should be made in a sustainable manner that will mean a balance of better quality of life from present to future existence and a better quality of ecological niche.

The Regional State of Brown Environment (RSoBE) 2019 is a consolidated Report on the status of Air Quality, Water Quality, Solid Waste Management, Toxic Chemicals and Hazardous Waste Management, and Environmental Impact Assessment in Region I. The report provides objective and comprehensive state of brown environment and identifies environmental challenges and concerns. These could be used as bases for recommendations to address specific environmental issues and improve the

condition of the environment. This RSoBE 2019 presents insights and information to planners and administrators for use in policy planning and formulation.

Data presented in the report can be used by researchers from the academe, research institutions and/or non-government organizations in preparing relevant proposals/studies. Furthermore, this RSoBE 2019 report can provide environmental information, awareness and consciousness to all concerned citizens in the Region. The need to protect and conserve our environment will ultimately depend on how humans deal with and extract from it. ENVIRONMENTAL MANAGEMENT BUREAU - I MISSION AND VISION

OUR MISSION TO PROTECT, RESTORE AND ENHANCE ENVIRONMENTAL QUALITY TOWARDS GOOD PUBLIC HEALTH, ENVIRONMENTAL INTEGRITY AND ECONOMIC VIABILITY. OUR VISION A NATION EMPOWERED TO PROTECT OUR FINITE NATURAL RESOURCES, ATTUNED TO THE PURSUIT OF SUSTAINABLE DEVELOPMENT, FOR A CLEAN & HEALTHY ENVIRONMENT THAT ENHANCES THE FILIPINO QUALITY OF LIFE FOR PRESENT AND FUTURE GENERATIONS.

REGIONAL STATE OF BROWN ENVIRONMENT 2019 DENR-Environmental Management Bureau - Region I

EXECUTIVE SUMMARY

The Environmental Management

Bureau (EMB) of the Department of Environment and Natural Resources (DENR) has a vital mission to protect, restore and enhance environmental quality towards good public health, environmental integrity and economic viability, and implement significant environmental laws. In 2019, EMB-Region I has once again showcased the undying commitment of its dynamic workforce to perform its mandated functions, all for the benefit of Mother Nature.

EMB-Region I is one of the primary agencies responsible in monitoring the quality of the environment in Northern Luzon. The major environmental laws implemented by the Bureau are the following: Presidential Decree 1586 (Environmental Impact Statement System), R.A. 8749 (Clean Air Act of 1999), R.A. 9275 (Clean Water Act of 2004), R.A. 6969 (Toxic Substances and Hazardous and Nuclear Wastes Control Act of 1990), R.A. 9003 (Ecological Solid Waste Management Act of 2000) and R.A. 9512 (National Environmental Awareness and Education Act of 2008).

ENVIRONMENTAL IMPACT ASSESSMENT

For the calendar year (CY) 2019, there were a total of Four Hundred Thirty Three (433) projects that have been issued with Environmental Compliance Certificates (ECC), which were processed online. Based on records, most of the issued ECCs are located/to be developed within the Province of Pangasinan which is about 43% (186 ECCs) of the total number of approved ECCs in CY 2019. Ninety three (93) ECCs (21.5%) were issued covering various projects/undertakings within the Province of Ilocos Norte; while seventy eight (78) (18%) and seventy six (76) (17.6%) ECCs were issued by EMB-Region I for projects/undertakings that are to be located/established within the provinces of La Union and Ilocos Sur, respectively.

The top three (3) project types with the highest number of issued ECCs for CY 2019 were Resource Extractive Industries (Sand and Gravel Quarry Projects) with One Hundred Eighteen (118) ECCs, followed by Petroleum Industries (Gasoline Refilling Stations) with One Hundred Nine (109) ECCs, and Infrastructure Projects with Sixty Seven (67) ECCs.

AIR QUALITY MANAGEMENT

The ambient air quality monitoring in selected areas is a continuing activity of DENR-EMB Region I to assess a part of the quality of air covering the entire country. The said activity is in compliance with Part V, Rule XIV, Section 1 of the Implementing


Rules and Regulations of R.A. 8749 entitled “Air Quality Management System”. It aims to protect public health and welfare and reduce damage to property as well as provide an air quality management control strategy from mobile, area and stationary sources.

EMB-I conducted year-round

ambient air quality monitoring using the three automatic air quality monitoring equipment and three manual operating air samplers. State-of-the-art Differential Optical Absorption Spectroscopy (DOAS) are located in Urdaneta City, Pangasinan and City of San Fernando, La Union and a Particulate Matter System (PMS) is installed in Batac, Ilocos Norte. A Manual Particulate Matter 2.5 (PM 2.5) Air Sampler is stationed in Dagupan City and PM 10 air samplers are positioned in San Carlos City, Pangasinan and Vigan City, Ilocos Sur.

Differential Optical Absorption

Spectroscopy (DOAS), is a widely used method to determine concentrations of atmospheric parameters. DOAS Urdaneta City monitors nine (9) hazardous criteria pollutants namely: Carbon Monoxide (CO), Photochemical Oxidants as Ozone (O3), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), Particulate Matter 10 and Particulate Matter 2.5, Benzene, Toluene and Xylene. The pollutant concentrations for CY 2019 are all within the National Ambient Air Quality Guideline Values (NAAQGV) and met the yearly monitoring guideline value.

The CY 2019 monitoring data of

the DOAS installed at the vicinity of PNP Camp Florendo, Brgy. Parian, San Fernando City, La Union showed that pollutant concentrations for CY 2019 are all within the NAAQGV and met the long term guideline values.

The continuous ambient air

monitoring network located inside the compound of Mariano Marcos State University, Brgy. Quiling Sur, City of Batac, Ilocos Norte recorded annual geometric mean for PM 10 and PM 2.5 that consistently met the NAAQGV.


The Ambient Air Quality

Monitoring Station (PM 10) located infront of the Vigan City Hall, Vigan City, Ilocos Sur recorded an annual average which met the NAAQGV while the annual geometric value reflected a fair air quality index possibly due to the heavy traffic congestion within the monitoring station and influx of tourist arrival in the city.

The Ambient Air Quality Monitoring Station (PM 2.5) located in the City Plaza of San Carlos City, Pangasinan showed that the annual geometric mean did not meet the annual National Ambient Air Quality Guideline Value.

The Ambient Air Quality

Monitoring Station (PM 2.5) located within the compound of the CSI Mall, De Venecia Road, Lucao District, Dagupan City, Pangasinan recorded an annual geometric mean which did not meet the annual National Ambient Air Quality Guideline Value.

WATER QUALITY MANAGEMENT

Region I has three designated Water Quality Management Areas (WQMA), namely the Sinocalan-Dagupan River System, Naguilian River System, and Lower Amburayan River System.

Section 5 of the Clean Water Act provides for the designation by the Department of Environment and Natural Resources (DENR) in coordination with National Water Resources Board (NWRB), of certain areas such as watersheds, river basins or water resources regions that share common interests or face similar development programs and prospects as water quality management areas (WQMA).

Water quality monitoring was conducted monthly in the established six (6) monitoring stations for the proposed designation of Bolo River System Water Quality Management Area; thirty- seven (37) monitoring stations in the three (3) designated WQMAs; eleven (11) monitoring stations in the two identified priority rivers (Agno & Abra Rivers); while quarterly monitoring was conducted in the 41 established recreational waterbodies and twenty three (23) adopted waterbodies. Generally, the results of all the monitoring of the river systems in the Region meet the physico –


chemical parameters except for Fecal Coliform.

Beach eco-watch monitoring was conducted on a monthly basis for the monitoring of Total Coliform (TC) and Fecal Coliform (FC) which are the basic parameters to determine the water quality of bathing beaches. EMB-Region I sustained forty-one (41) established monitoring stations for bathing beaches in the region which are often visited by tourists. Generally, the results of water quality monitoring for the annual geometric mean values are within the set DENR water quality guideline for Total Coliform (TC). Most of the results of Fecal Coliform (FC) monitoring showed that the annual geometric mean values are within the DENR water quality guideline value.

Since the Adopt-an-Estero program was launched, EMB Region I has been convening partners from all over the region to continuously engage them in the clean-up and rehabilitation of esteros and river tributaries they adopted. Activities under the said program include community mobilization, dredging of the creeks, regular clean-up drive and other livelihood programs. In 2019, the region has a total of forty-seven (47) signed Memorandum of Agreements (MOA). The eight-year (2011-2019) implementation of the Adopt-an-Estero/Waterbody Program along the designated Sinocalan-Dagupan River System Water Quality Management Area (SDRS-WQMA) tremendously recorded 75%-95% decrease in the concentration of coliform in the twenty-two (22) established water quality monitoring stations in the SDRS-WQMA.

TOXIC AND HAZARDOUS WASTE MANAGEMENT

EMB-Region I has been

consistently implementing the requirements of the Toxic Chemical Substances (Title II) among its regulated firms and establishments. Two office divisions, the Environmental Monitoring and Enforcement Division (EMED) and the Clearance and Permitting Division (CPD) serve as the implementing body of the region for effective enforcement of the technical requirements of Republic Act 6969. Requirements cover the implementation of the Philippine Inventory of Chemical and Chemical Substances (PICCS), Priority Chemical List (PCL), and the Chemical Control Orders (CCOs) for Mercury (DAO 38-1997), Asbestos (DAO 2000-02), Ozone-depleting Substances (DAO 18-2000), Polychlorinated Biphenyls (DAO 2004-02), Cyanide (DAO 1997-39), and Lead (DAO 2013-24).


For C.Y. 2019, the EMB-Region 1 Clearance and Permitting Division has registered 11 industries under the Chemical Control Order, four chemical importers/manufacturers were surveyed, three PCB-owners were notified for registration, and fifteen PCB management plans were approved. On the other hand, the Environmental Monitoring and Enforcement Division (EMED) has monitored 13 CCO-registered industries, 41 firms were inspected regarding their PCB management plan implementation, one validated firm for PCB phase-out, and one accomplished Annual Toxic Chemicals Regional Status Report.

SOLID WASTE MANAGEMENT

Waste generation continues to rise

with the increase in population,

improvement of living standards, rapid

economic growth, and industrialization

especially in the urban areas. From 471.3

tons per day in 2018, the region’s waste

generation increased to 501.76 tons per

day in 2019. Although the increase in the

recorded waste generation may be

viewed negatively, it is important to note

that more local government units have

submitted their Self Compliance

Monitoring and Assessment Report

(SCMAR) for 2019. The improvement in

the submission of the said report is vital in

the development of a database and

monitoring of the status of the

implementation of R.A. 9003 in the

region.

In 2019, eighteen (18) 10-Year

Solid Waste Management Plans were

approved by the National Solid Waste

Management Commission (NSWMC),

summing up a total of thirty-eight (38)

approved city/municipal plans and two (2)

provincial plans from C.Y. 2014 to 2019.

All the 125 LGUs and 4 Provinces in the

region have submitted their respective 10-

Year Solid Waste Management Plan that is

either under evaluation or for revision, if

not yet approved by the NSWMC.

R.A. 9003 requires LGUs to close

their existing open dumpsites and to

establish controlled disposal facilities or

Sanitary Landfills (SLF). As of 2019, there

are still two (2) open dumpsites (OD);

twenty-nine (29) controlled dumpsites

(CD); twenty-nine (29) sanitary landfills

(SLF); sixty-four (64) closed dumpsites of

which forty – one (41) are under

rehabilitation; and two (2) LGUs have no

dumpsite facility.

As of C.Y. 2019, thirty-six (36) local

government units (LGUs) were provided

with financial assistance for the

construction and establishment of

central/municipal materials recovery

facility (MRF) and purchase of bio

shredder. A total of 21 Million Pesos (Php

21,000,000.00) financial support was

awarded to 36 LGUs in the Region.

i REGIONAL STATE OF BROWN ENVIRONMENT 2019

DENR-Environmental Management Bureau - Region I

REGIONAL PROFILE

GEOGRAPHY

Physical Characteristics

Location and Land Area. Collectively known as Ilocandia, this northwestern part of Luzon

would have remained a wasteland without the tough, headstrong, ingenious and spirited

inhabitants who were determined to overcome a hostile environment.

Ilocandia is about two-thirds mountain range. The Cordilleras run along its eastern side. Off

its western side is the West Philippine Sea. Between sea and mountain is a corridor so narrow

that in some places mountain and sea almost meet.

Originally, there was only one province of the Ilocos, which even in pre-spanish times was

among the most thickly populated areas in the country. A burgeoning population made

imperative the creation of different provinces:

Pangasinan in 1611, Ilocos Norte and Ilocos Sur in 1818, Abra in 1846, La Union in 1854,

Mountain Province in 1908 (By the Americans) and Benguet in 1966 (Republic Act 4695).

Figure 1. Geographic Location of Region 1

Pangasinan

Pangasinan is the third biggest province in the whole Philippine archipelago which derived its

name from salt in the vernacular. The province is crescent-shaped and occupies 5,368.82

square kilometers of land area which constitutes almost one half (41.81%) of the total land

area of the region and 1.8% of the total land area of the Philippines. Pangasinan also occupies

285.66 kilometers of coastal line.

It is composed of four (4) cities and forty four (44) municipalities, six (6) districts and one

thousand three hundred sixty four (1,364) barangays and with provincial capital which is

Lingayen. It is bounded by Lingayen Gulf, La Union and Benguet on the north side, Nueva

ii REGIONAL STATE OF BROWN ENVIRONMENT 2019


Viscaya on the northeast, Nueva Ecija on the east, Tarlac on the south and Zambales and

West Philippine Sea on the western part of the province.

Because of its geographical positioning, it has always been described as the gateway of sorts.

Most travelers going up north often remember Pangasinan as the place where they had last

seen some semblance of civilization, comparing it with the sparsely populated regions of the

Ilocos and Cagayan Valley (with the exeption of Baguio and also the Spanish town of Vigan

and Laoag).

The Pangasinan language or Pangasinense is an agglutinative language. It belongs to

the Malayo-Polynesian languages branch of the Austronesian languages family and is the

primary language of the province of Pangasinan. The Pangasinan language is similar to the

other Malayo-Polynesian languages of_the Philippines, Indonesia, Ma-laysia and Madag-

ascar. It is closely related to the Ibaloi language spoken in the neighboring province

of Benguet, located north of Pangasinan. The Pangasinan language is classified under the

Pangasinic group of languages. One enters the region through Pangasinan which occupies the

northern portion of the vast central plain of Luzon. Seaward is Lingayen Gulf, which has rich

resources of fish and other forms of marine life. The sprawling rice fields and other cultivated

areas are fertile lands enriched by Agno River and are considered among the best agricultural

lands in the country.

Figure 2. Geographic Location of Pangasinan

La Union

Northward beyond the Pangasinan plain lies La Union, the commercial tourism and

administrative government center of the region. It is narrow and hilly, squeezed in between

mountain and sea, but boasting of beautiful beaches along its irregular coastline.

Located in the southwestern part of Region 1, La Union is bordered by Ilocos Sur to the north,

Benguet Province to the east, Pangasinan to the south and the vast West Philippine Sea to the

west. With a land area of 1,493.09 square kilometers, La Union occupies 11.62% of the total

land area of Region 1. La Union also consists of nineteen (19) municipalities with one (1)

city, five hundred seventy six (576) barangays and two (2) congressional districts. This

province is situated two hundred seventy three (273) kilometers north of Manila and fifty

seven (57) kilometers Northwest of Baguio City. It is accessible from San Fernando City

International Airport, Poro Point Pier and by land.

iii REGIONAL STATE OF BROWN ENVIRONMENT 2019


Predominantly hilly terrain that gradually rises eastward from the shore, the original “dozen”

towns have grown to nineteen (19) municipalities and a city. The additional eight (8) are:

Santol, San Gabriel, Bagulin, Burgos, Pugo, Tubao, Rosario and Sudipen.

Figure 3. Geographic Location of La Union

Ilocos Sur

Ilocos Sur is relatively uneven in physical features, located along the western coast of

Northern Luzon. It is bordered by Ilocos Norte to the north, Abra to the northeast, Mountain

Province to the east, Benguet to the southeast, La Union to the south and the West Philippine

Sea to the west. Its area of 2, 579.58 square kilometers occupies about 20.11% of the total

land area of Region 1.

The province falls within latitudes 16°40’ to 17°54’ north and longitudes 120°20’ to 120°56’

east. Vigan City is the provincial capital which is located on the mouth of Mestizo River,

approximately 408 kilometers by road from Manila, 139 kilometers north of San Fernando

City and 80 kilometers south of Laoag City.

The topography of Ilocos Sur is undulating to rolling with elevations ranging from 10 to 1,

700 meters (33 to 5,600 ft.) above sea level. The province is composed of thirty two (32)

municipalities, two (2) component cities and seven hundred sixty eight (768) barangays.

Of the municipalities, twenty (20) are identified as lowland areas and the remaining twelve

(12) are considered upland areas. Among the municipalities, Quirino and Cervantes have the

largest area covering about 18.30% of the total provincial area while Sta. Catalina and San

Vicente occupy the smallest area of only 28.60 square kilometers or 1.1% of the total

provincial area. The relief changes from hilly to mountainous with slopes varying from 30-

50% and the coastal plain is level undulating (0-3%) occupying an area of 940 square

iv REGIONAL STATE OF BROWN ENVIRONMENT 2019


kilometers with several low hills scattered at random all throughout the entire length of the

province. Approximately 23.7% of the province’s total land area is cropland.

Figure 4. Geographic Location of Ilocos Sur

Ilocos Norte

Ilocos Norte is located in the northwestern part of Luzon and is geographically situated

between 17°43’ and 18°29’ north latitudes and 120°25’ and 120°58’ east longitudes. It is

bounded in east by Cagayan and Apayao, in the southeast by Abra, in the south by Ilocos Sur

and in the west by the West Philippine China Sea. Laoag City is the seat of the provincial

government and is about 487 kilometers north-northwestern of Manila. Ilocos Norte has a

total land area of 3, 622.91 square kilometers. It is rugged and rocky and has mountains which

run northwest in the Cordilleras in the east. There are thirteen (13) mountains in the area,

most of which are located in the southern portion of the province.

The province has two (2) congressional districts comprising twenty one (21) municipalities

and two (2) component cities. The province has a total of five hundred fifty seven (557)

barangays. This includes the eighty (80) barangays of Laoag City and the fourty three (43)

barangays of Batac City.

Located in the northwestern part of Luzon, Ilocos Norte settles on a wide plain between the

foothills of the Central Cordillera ranges on the east and the West Philippine Sea on the west.

The winding and rugged mountain ranges extend to Abra in the south. Its backbone angles

steepy towards southwest and wedges through Ilocos Sur.

Land Forms and Slope Category. The region’s land slope is categorized into five (5)

groups. The first category is the 0 to 8 percent slope or level to undulating islands. These are

v REGIONAL STATE OF BROWN ENVIRONMENT 2019


irrigable lands highly suitable for agricultural, urban, industrial and other related uses. More

than one-half of these slope categories are found in Pangasinan. The second category is the 8

to 18 percent slope or undulating to rolling lands. These lands have a wide variety of uses,

with agricultural options ranging from seasonal to permanent crops. Most of this slope

category is found in Pangasinan and Ilocos Norte.

Figure 5. Geographic Location of Ilocos Norte

The third category is the 18 to 30 percent slope, or rolling to moderately steep areas. These

are generally considered as marginal lands for most of the agricultural crops require tillage.

Some have deep friable soils which, when planted with many economic trees, can be

productive given ideal environmental conditions. Region 1 occupies the narrow plain between

the Cordillera central mountain range and the West Philippine Sea. It also occupies the

northern portion of Central Luzon plain to the north-east of the Zambales Mountains.

Region 1 is generally composed of level to undulating to rolling plains with a hilly and

mountainous portions concentrated in the intermediate hillsides of the Cordillera Mountain

Ranges and part of Zambales Mountain. Specifically, Ilocos Norte is determined with alluvial

plains, hills, mountains, coastal and miscellaneous land types. Its terrain is generally

mountainous and rocky. However, Ilocos Sur is determined with undulating to rolling with

elevations ranging from 10 to 1,700 meters above sea level. La Union is predominantly hilly

terrain that gradually rises eastward from the shore and Pangasinan is generally level to

undulating to rolling plains with the hilly and mountainous areas concentrated in the eastern

portion of the province.

vi REGIONAL STATE OF BROWN ENVIRONMENT 2019


Topographic survey information is historically based upon the notes of surveyors. They may

have derived naming and cultural information from other local sources, including boundaries

delineation often derived from cadastral mapping. While of historical interest, these field

notes inherently include errors and contradictions that were resolved in later stages of map

production. Most modern topographic mapping includes a large component of remotely

sensed data in its compilation process.

Land Classification. There are primarily two major land classifications in Region 1: the

Alienable and Disposable Land and Forest Lands. However, in order to expand and

differentiate the specificity of land classifications, the data include additional information

(Table 5).

Figure 6. Slope Map of Region 1

Table 1. Slope Categories of the Provinces of Region 1

Slope Category Total Ilocos Norte Ilocos Sur La Union Pangasinan

Level to Nearly

Level

5,224.67 864.51

840.31 476.43 3,043.43

Gently Sloping

to Undulating

850.02 263.84 116.44 91.42 378.33

Undulating to

Rolling

454.54 207.72 59.30 31.62 155.89

Rolling to

Moderately

Steep

810.23 293.64 114.79 93.20 308.60

Steep 2,991.76 513.90 790.50 231.82 1,455.54

Very Steep 2,508.97 1,265.62 659.18 571.71 12.45

Total 12,840.19 3,409.23 2,580.53 1,496.19 5,354.24

vii REGIONAL STATE OF BROWN ENVIRONMENT 2019


Based on the Table, Region 1 has a total land area of 1,284,019 hectares. Alienable and

Disposable Lands cover wider area of the total

land area of Region 1. The province of Pangasinan has wider area of Alienable and

Disposable Land compared to the other three (3) provinces of the region. However, Ilocos

Norte covers wider area of Forest Lands in the Region which is 194,986 hectares.

Province Land Area

(km2)

% Distribution Coastline (km) % distribution

Ilocos Norte 3,399.34 26.47 150.18 21.20

Ilocos Sur 2,579.58 20.08 157.63 22.25

La Union 1,493.09 11.62 114.70 16.19

Pangasinan 5,368.82 41.81 285.66 40.33

Total 12,840.19 100 708.17 100

Elevation

Classification

Ilocos

Norte

Ilocos Sur La Union Pangasinan %

distribution

<100m

Above Sea Level

(km2)

1,374.01 1,013.77 718.32 3,904.81 54.60

100-300m ASL (km2) 726.11 448.59 449.57 883.60 19.53

300-500m ASL (km2) 514.66 357.79 177.83 299.02 10.51

500-1000 ASL (km2) 550.69 543.78 130.35 230.83 11.34

>1000 ASL (km2) 233.87 215.65 17.02 49.92 4.02

Total Area 3,399.34 2,579.58 1,493.09 5,368.18 100

Table 2. Distribution of Slope Classification by Provinces (%)

Table 3. Elevation Classification of Region 1

Table 4. Percentage of slope Category of Region 1

Slope Category Ilocos

Norte

Ilocos Sur La Union Pangasinan Total

Level to Nearly Level 16.55% 16.08% 9.12% 58.25% 100

Gently Sloping to

Undulating

31.04% 31.04% 10.75% 44.51% 100

Undulating to Rolling 45.70% 13.05% 6.96% 34.30% 100

Rolling to Moderately

Steep

36.24% 14.17% 11.50% 38.09% 100

Steep 17.18% 26.42% 7.75% 48.65% 100

Very Steep 50.44% 26.27% 22.79% 0.50% 100

Total 26.55% 20.10% 11.65% 41.70% 100

viii REGIONAL STATE OF BROWN ENVIRONMENT 2019


Ilocos Norte also has wider area with regard to lands that were established for residential

uses. Approximately, 56.86% of the total land area of Ilocos Norte was covered by

residential. Additionally, La Union has a wider area of National Parks compared to the other

three (3) provinces of Region 1. Of the total area of National Parks in Region 1, La union

covers about 84.21% of the whole area of national Parks in the region.

Climate and Weather Disturbances. The Region has two (2) pronounced seasons:

The Hernandez Type of classification under PAGASA defines the climate of the province as

generally arid (TYPE E) wherein there are more dry than wet months. Utmost, there are only 4½

wet months in a year with Q range from 1.00 to 1.67 where Q is the ratio of the number of dry

months to the number of wet months. However, the southernmost portion of the province (part of

the Municipality of Cervantes) was observed to be humid (Type B), where rain is evenly

distributed throughout the year with at most 3 dry months and the eastern part of Sugpon is Dry

(Type D) with rain not sufficiently distributed with at most 6 dry months. Like the rest of

provinces of Ilocos Region, Ilocos Sur has two (2) distinct seasons, the dry season and the wet

season. The dry season normally commences from November to April reaching its peak during

torrid months of April and May. The Wet months are from July to September, with the month of

August as the rainiest period. Normally, the average annual rainfall is 228.82 centimeters. The

average annual maximum temperature is 30.9°C, whereas, the annual minimum temperature is

23.2°C. The average relative humidity is 81%.

Hydrological Features. The Agno River is the main drainage system of the area and has a

catchment area of 5, 952 km2. It is the third largest river in the entire Luzon and the fifth largest

river in the Philippines. The Agno River is the largest river in the Philippines in terms of water

discharge, draining around 6.6 km3 of fresh water into Lingayen Gulf, or almost 70% of the total

fresh water input into the gulf. The headwaters of Agno River are at the slopes of Mount Data in

the Cordillera Mountains at an elevation of 2,090 m, where it drains Cretaceous to Paleocene

igneous basement rocks, and marine siliciclastic and carbonate rocks. Of its total length, about 90

kilometers run through mountainous terrain and canyons.

The Amburayan River basin is also one of the longest rivers which covers about 1,386 square

kilometers in some parts of Ilocos Sur, La Union and Benguet. This river serves as boundary

between La Union and Ilocos Sur which also serves as additional source of income for the

community people of Sudipen.

Laoag River basin covers an area of 1,319 square kilometers which is often prone to

sedimentation. Thus the local government of Laoag constructed a series of earth dikes to mitigate

flooding of the said river. The dike covers 87 kilometers.

Watershed is an extent or an area of land where surface water from rain or melting of snow or ice

converges to a single point at a lower elevation, usually the exit of the basin, where the waters join

another waterbody, such as a river, lake, reservoir, estuary, wetland, sea, or ocean. The Region 1

primarily consists of 36 Priority Watersheds (Table 6).

Potential priority watersheds for protection of water quality are those watersheds with both

high manure nutrients applied to the land and environmental indicator scores higher than

other areas of the country. These are the watersheds where government programs are targeted

first to quickly meet the goals of protecting watersheds from possible occurrence of

environmental contamination. Table 6 shows that the province of Pangasinan covers a wider

area of Priority Watershed in Region 1 which is quantifying to 406,193.87 hectares followed

by Ilocos Norte which covers an area of 278,903 hectares of land. The Agno River Basin is

ix REGIONAL STATE OF BROWN ENVIRONMENT 2019


primarily the widest area of watersheds in the region which the government prioritizes and

protects against encroachment and contamination from different intervening activities.

There are also watersheds in Region 1 which the government determined as Critical

Watersheds. These watersheds are often called “sensitive/critical” because of their high rate

and massive deforestation brought by certain anthropogenic growth on the area and also even

the various changes of the land uses of the said watershed. As shown in Table 7, the Lower

Agno River Basin in Pangasinan was determined as the highest area with critical watersheds

which covers an area of 260, 445.03 hectares cloaking about 17 barangays.

With its thousands of islands, the Philippines has one of the longest coastlines in the world-

estimated at 36,289 kilometers from north to south with 25 major cities lying on the coast. It

is estimated that more than 60% of the nation’s total population of 99.9 million lives in the

coastal zone. From that 36, 289 kilometers, Region 1 covered 639.67 kilometers or about 1.72

percent of the total coastline in the Philippines. In Region 1, the province of Pangasinan has

the longest stretch of coastline which covers about 285.66 kilometers or about 40.33% of the

total percentage of the region’s coastline. It is followed by the province of Ilocos Norte which

measured about 150.18 kilometers, estimatedly about 21.20% of the coastline of Region 1. La

Union covered about 114.70 kilometers of coastline and Ilocos Sur has about 157.63

kilometers of coastline in the region.

Safe Water Supply. In year 2012, it was estimated that 94.00% of the total number of

households in Region I had access to safe water supply. There were three (3) major levels of

sources of water which were indicated. Level 1 was indicated as artesian wells and springs,

level II units or the communal faucets and level III is indicated as systems or the house-to-

house connections. About 62.87% of the total number of households was using level I type of

water source which comes from wells or springs. Additionally, the least source of safe water

was the level III type. About 27.49% of the total number of households used faucets or house-

to-house connection of water supply in the region.

Mineral Resources. Around 9 million hectares or 30% of the country’s total land area of 30

million hectares are believed to contain important metallic mineral deposits, while 5 million

hectares are also known to be potential sites for non-metallic mineral reserves.The country’s

offshore areas, which cover around 2.2 million square kilometers, also contain placer

minerals, including gold, magnetite and chromite-bearing sands, aggregate resources like sand

and gravel, decorative stones, and polymetallic sulfide deposits.

Table 5. Land Classifications of Provinces in Region 1 (Hectares) Province Land Classification

Total

Land Area

(ha)

Certified

A&D

Lands

(ha)

Forestland(

ha)

Unclassified

Forestlands

(ha)

Classified

forestlands

(ha)

Established

for

Residential

(ha)

Established

Timberland

(ha)

National

Parks

(ha)

Military

and

Naval

Reserves

(ha)

Civil

Reserve

(ha)

Fishpond

(ha)

Ilocos

Norte

339,934 144,948 194,986 - 194,986 193,272 1,374 340 - -

Ilocos Sur 257,958 138,412 119,546 26,176 93,370 1,609 90,141 1,620 - -

La Union 149,309 120,307 29,002 4,132 24,870 90 13,833 10,947 - - Pangasinan 536,818 406,395 130,423 2,847 127,576 22,875 102,792 92 288 923 606

Total 1,284,019 810,062 473,957 33,155 440,802 217,846 208,140 12,999 288 923 606

x REGIONAL STATE OF BROWN ENVIRONMENT 2019


Pangasinan 406,193.87

Urdaneta and Dagupan City 323,167.31

Lower Agno River Basin 260,445.03 Labrador, Lingayen, Binmaley, Aguilar,

Mangatarem, Urbiztondo, Calasiao, Sta. Barbara,

Umingan, San Nicolas, Tayug, Bugallon

Toboy-Tacnien

Watreshed

45,801.62 Sison, San Manuel, Binalonan, Urdaneta, Sta.

Barbara, Calasiao, Laoac

Bued Watershed 16,920.66 Pugo, Rosario, Sto.Tomas, Sison, Pozzorubio, San

Jacinto, San Fabian

Alaminos City 83,026.56

Alaminos

Balincaguin

Nayom

20,145.06

39,995.36

22,886.14

Sual, Mabini, Alaminos City

Mabini, Agno, Burgos, Dasol, Infanta, Sual, Labrador

Infanta, Sta. Cruz, Zambales

Table 6. Priority Watersheds in Region 1.

Name of River Watershed/Sub-

watershed

Area

Covered

(ha)

Location

Ilocos Norte 278,903

Bangui 103,268.60

Bolo River Watershed

Banban-Baruyen River

Pasuquin River

Vintar River

21,410.36

13,834.94

4,267.96

63,755.34

Adams, Dumalneg, Bangui, Pagudpud

Burgos, Pasuquin, Bangui

Pasuquin, Burgos, Vintar

Adams, Bangui, Vintar, Pasuquin, Dumalneg, Carasi

Laoag City 175,634.89

Laoag River Basin

Quiaoit River

Badoc River

138,559.34

18,004.33

19,070.63

San Nicolas, Sarrat, Piddig, Solsona, Banna, Dingras,

Marcos

Batac, Paoay, Sarrat

Nueva Era, Pinili, Badoc

Ilocos Sur 130,645.16

Vigan City 42,839.87

Cabugao River

Narvacan River

Sta. Maria

8,433.35

14,987.31

19,419.21

Cabugao, Sinait

Nagbukel, Narvacan

Burgos, Lidlidda, Sta. Maria, San Emilio

Tagudin 87,805.29

Candon River

Buaya River

Amburayan River

11,999.23

24,638.06

51,168.00

Candon, Banayoyo, Galimuyod, San Emilio, Santiago

Sta. Cruz, Lucia, Sigay, Salcedo, Suyo, Alilem, Sugpon,

Tagudin

La Union 90,435.60

San Fernando City 90,435.60

Baroro River

Naguilian River

Aringay River

Amburayan River

19,063.07

28,890.61

22,559.74

19,922.18

Bacnotan, San Gabriel, Santol, Bagulin, San Juan

Naguilian, Bauang, Burgos, Bagulin, San Fernando City

Aringay, Tubao, Pugo,Sto. Tomas, Caba, naguilian

Sudipen, Santol, San Gabriel, Bangar

xi REGIONAL STATE OF BROWN ENVIRONMENT 2019


Table 7. Critical Watersheds in Region 1

Name of Watershed Area (hectares) Location

Ilocos Norte

Vintar River Watershed Rehabilitation Project 1,000.00 Brgy. Visayas & Dipilat, Vintar

Dingras Watershed Rehabilitation Project 20,832.80 Brgy. Francisco and San Marcelino,

Dingras

Marcos-Nueva Era Watershed Rehab. Project 23,019.90 Brgy. Poblacion, Nueva Era

Ilocos Sur

Libunao Spring Watershed Rehab. Project 162.00 Brgy. Maradodon,Cabugao

Nagbukel Watershed Rehab. Project 363.11 Brgy. Taleb & Lapting, Nagbukel

Suyo-Proper Watershed Rehab. Project 590.00 Suyo & Alilem

Lidlidda Watershed Forest Reserve Rehab.

Project

1,288.00 Banayoyo & Lidlidda

La Union

Lono-oy Integrated Watershed Devt. Project 1,460.00 Brgy. Lono-oy,Balbalyang, Bayabas &

Sabsaba, san Gabriel & Santol

Naguilian Watershed Rehab. And Erosion

Control Project

290.00 Casilagan, Naguilian

Pangasinan

Dipalo Watershed Rehab. Project 7,519.56 San Macario Sur, Cabangaran,

Nangapugan, San Quintin & Natividad

Banila Watershed Rehab. Project 26,188.40 Maseil-seil, Umingan

San Roque Multi Purpose Dam Watershed

Mngt. Project

5,000.00 San Roque, San Felipe West, San Manuel,

& San Nicolas

Baracbac River Watershed Project 6,442.60 Malabobo, Mangatarem

Cagubay Watershed Rehab. Project 3,375.30 Brgy. Ninoy & Laoag Aguilar

Viray Watershed Rehab. Project 7,511.70 Bachelor East, Natividad

Amacalan Watershed Rehab. Project 4,805.00 Villacorta, Mabini

Mabini Watershed Rehab. Project 95.00 Villacorta, Mabini

Table 8. Length of Coastline in Region 1

Provinces Length of Coastline (km) % of Distribution

Ilocos Norte 150.18 21.20

Ilocos Sur 157.63 22.25

La union 114.70 16.19

Pangasinan 285.82 40.33

Total Coastline 708.17 100

xii REGIONAL STATE OF BROWN ENVIRONMENT 2019


Among our important metallic minerals found in abundance in various parts of the country

include gold, copper, iron, chromite, nickel, cobalt and platinum, while our non-metallic

resources include sand and gravel, limestone, marble, clay, and other quarry materials.

Region 1 is endowed with varied mineral resources both metallic and non-metallic. The total

volume of mineral reserves stood at around 1.37 billion metric tonnes (MT) in 1992. (See

Table 9 and Figure 6).

Non metallic mineral reserves comprised about 99 percent of the total mineral reserves.

Copper ore ranked the biggest deposit with about 54.6 percent of the total metallic reserves.

This kind of mineral is highly abundant in the province of Ilocos Norte and Pangasinan. Iron

magnetite sand, which ranked second with about 31 percent, can be found only in Ilocos Sur

and La Union.

Forest Resources. Of the country’s total land area of 30 million hectares, around 53 percent

of it is classified as forestland, with slopes ranging from 18 percent and above. But not all is

covered with forest. Based on the 2001-2003 satellite imageries, the country’s total forest

cover is estimated at 7.168 million hectares or 24.27% of the total land area. The remaining 8

million hectares are unproductive, open, denuded or degraded. Forests are efficient

watersheds which could regulate the flow of water supply, prevent flash floods and control

soil erosion and water pollution. These are the sources of wood and other forest products of

great economic value, power and water.

In Region 1, the current condition of forests is adversely critical because majority of its

resources were almost depleted. There were 2 major categories of Forestland in the region:

classified and unclassified forest lands. The classified forestland consists of established forest

reserves, established timberlands, national parks, military and civil reservations and

developed fishponds.

In 2012, the classified forestland covered an area of 440,802 hectares of the total forestland area.

About 93 percent of the total forestland is considered classified forestland area. From these

classified forestland areas, province of Ilocos Norte has the widest area which covered 194,986

hectares of land or about 44.23 percent of the total classified forestland area in the region. It is

followed by Pangasinan which is about 127,576 hectares or 28.94 percent of the total classified

forestland area of Region 1. The remaining 7 percent of the total forest land is constituted as

unclassified forestland. The province of Ilocos Sur has the widest unclassified forestland which

covers about 26,176 hectares or about 78.95 percent of the total unclassified forestlands in Region

1.

xiii REGIONAL STATE OF BROWN ENVIRONMENT 2019


Land Transportation

Regional Road Network. The region has a fairly developed national road network which

provides a good level of accessibility within and outside the region. As of 2008, Region 1 had

a total national road network length of 1,609.60 kilometers. Pangasinan got the biggest

portion which is 38.75% while La Union got only 14.82% of the total road improvement in

the region (Table 10).

The Trunkline Road System. The region can be accessed from Manila through the Manila

North Road (MNR), the major trunkline road system via the key urban areas of Tarlac City in

Region III and City of Urdaneta Pangasinan. The Patapat viaduct in the north linked Region I

and Region II which enhanced socio-economic development and exchanges.

Table 9. Mineral Reserves of Region 1

Province Location Resources

Probable Positive

Ilocos Norte

Mineral Deposits

Metallic

Copper Ore Cacafean, Marcos 7,000,000.00

Iron Lump Ore Lamin, Piddig 850,000.00

Iron Magnetite Nueva Era, Panay 102,600.00

Gold Sta. Ana, Solsona 1,066.34

Non-Metallic

Cement Raw Materials 350,000,000.00

Limestone Burgos-Pasuquin 472,500.00

Shale Burgos-Pasuqiun 25,000,000.00 1,715,000.00

Silicon Burgos-Pasuquin 10,319,910.98

Feldspar Pasleng, Pagudpud 18,194.64 14,000.00

Feldspar (SSM) Burgos,Pasuquin 749,811.00 339.775.09

Silica Vintar 25,720.00

Pebbles Bangui 297.00

Gravel and Sand Badoc 2,309,082.00

Pangasinan

Mineral Deposits 2,901,212,803.96 826,736,464.93

Metallic 456,149.00

Copper Ore Mabini 318,930.00

Chromite Mangatarem 135,219.00

Manganese Mangatarem 2,000.00

xiv REGIONAL STATE OF BROWN ENVIRONMENT 2019


…..continuation of Table 9

Province Location Resources

Probable Positive

Non-Metallic 2,900,756,654.96

Asbestos Aguilar 1,446,600.00

Cement Raw Materials

Limestone Sison 602,024,638.00

Shale Sison 18,770,260.00

Silica Agno 2,848,856.93

Gabbro (cu.m) Mangatarem 101,670,000.00

Zeolite Mangatarem 13,765,939.00

Bentonite Mangatarem 10,163,891.00

White Clay (SSM) Umingan 35,672.00

Limestone for agricultural use Mabini 4,378,556.00

Guano/rock Phosphate (SSM) Sual 54,250.00

Sand and Gravel Bued River, Sison 5,153,844.45

La Union

Mineral Deposits

Metallic 2,248.00

Iron magnetite Sand Lingayen Gulf, Damortis 20,314,000.00

Placer Gold Bued River, Saytan,

Rosario

816,222.00

Pebbles 6,359,818.18

Cement Raw Materials Quirino, Bancotan 91,405,762.00

Limestone

Shale Quirino, Bacnotan

Gravel and Sand Naguilian River

xv REGIONAL STATE OF BROWN ENVIRONMENT 2019


Transportation Sub-Sector

Other major inter-regional road links comprising the backbone network of the region include

Bauang-Baguio Road, Rosales-Umingan-Lupao Road and the other major alternate roads

linking Region 1 and the Cordillera Administrative Region are the Tagudin-Cervantes-

Mankayan Road and the Cervantes-Sabangan Road. The Rosales-Sta. Fe Road, meanwhile, is

the other major road that linked Region 1 and Region II. Generally, the road system in Region

1 is improving and as of 2007, 21.17% of the total road length is in good condition, 34% are

in fair and the rest are in bad or poor condition.

Vehicle Registration and Availability. As of 2014, the Land Transportation Office Region 1

Registered around 431, 152 vehicles. This vehicles were cars, utility vehicles, sports utility

vehicles, trucks, buses and motors/tricycles. Based on Table 11, the percentage of registered

motors/vehicles is topped by tricycles which averaged at 76.43% followed by UV/SUVs at

12.57% and cars at 5.10%. The province of La Union has the highest registered

motors/vehicles which reached up to 88,442, followed by the province of Pangasinan with

48,453 registered vehicles. Not far behind, Ilocos Norte listed out 20,107 registered vehicles.

Gasoline was the more efficient fuel used by most of the registered vehicles in the region,

rather than diesel.

Rail Transport. The rail transport system in the region stopped its operation way back 1983

due to decreasing patronage and deteriorating railways and facilities. One of the causes of the

deterioration was the massive increase of squatters in the area where the rail was constructed.

Air Transport. Of the five (5) existing airports in the region, only two (2) airports are in

operation. These are the Laoag International Airport (LIA) and San Fernando Airport in Poro

Point, San Fernando City La Union. The LIA currently caters commercial activities including

local and international flights flying via Manila-Laoag-Hongkong route and vice versa. The

SFA, on the other hand, accommodates only general, military, government and private flights

since commercial flights have not been sustained due to very low demand.

Sea Transport. The region boasts of several commercial, fishing and municipal ports. The

region’s busiest commercial port is located in San Fernando City, La Union. The San

Fernando City port can accommodate local and international vessels, utilized mainly as

shipment area for cargoes and products coming in and out of Region 1 and CAR. Based on

the statistical data of Philippine Ports Authority, Northern Luzon including PMO San

Fernando Port ship calls were around 20,828 for the year 2012.While there were 75,058,855

MT of cargoes considering domestic and foreign cargoes.

Communications Sub-Sector

Postal Communication. A total of two hundred and eighty six (286) post offices/postal

stations/mailing centers were operated and maintained in Region 1. Fifty one (51) are found

in Ilocos Norte, fifty five (55) in Ilocos Sur, sixty five (65) in La Union and one hundred and

fifteen (115) were found in the province of Pangasinan.

Power and Energy Sub-Sector. The region’s power supply comes from the Luzon Grid. The

region has five (5) existing power plants constructed during the period of 2003 with a total

installed energy generating capacity of 1,485 MW: 215 MW 1590 Energy Corporation in

Bauang, La Union; 1,200 MW Team Sual Corporation in Sual, Pangasinan; 70 MW Luzon

Hydro Corporation in Alilem, Ilocos Sur; 345 MW San Roque Power Plant in San Manuel,

Pangasinan; and Luzon Wind Power Project in Bangui, Ilocos Norte. To date, Region 1 has

fifty two (52) power substations. 12 are owned by the National Power Corporation, thirty six

xvi REGIONAL STATE OF BROWN ENVIRONMENT 2019


(36) are owned by various rural electric cooperatives and the other four (4) are owned by

private electric companies, two (2) were owned by cement industries. All the cities and

municipalities in the region already have electric power supply. Except for the province of

Ilocos Sur which is

almost 99% energized, all the barangays in other provinces posted 100% energy consumption.

Flood Control/Drainage and Shore Protection. By the end of 2001, 1,880.60 lineal meters

of flood control structures were constructed/repaired, improved and maintained in Region 1.

Table 10. Road Networks in Region 1

Region 1 Ilocos Norte Ilocos Sur La Union Pangasinan

1609.90 383.4 363.90 238.60 623.7

100.00% 23.82% 22.61% 14.82% 38.75%

Table 11. Number of Motor Vehicles Registered in Region 1 (CY 2014)

Motor /Vehicle Type

Type of Fuel

No. of Units total percentage

Ilocos Norte

Ilocos Sur La Union Pangasinan

Cars Gasoline 1,460 0 3,468 3,080 8,008 5.10

Diesel 2 0 74 215 291 0.19

UV/SUV Gasoline 1,107 0 1,650 2,403 5,160 3.28

Diesel 3,355 0 7,655 8,748 19,750 12.57

Trucks Gasoline 0 0 0 0 0 0

Diesel 79 0 173 19 271 0.18

Buses Gasoline 0 0 0 0 0 0

Diesel 677 0 1,055 1,780 3,512 2.00

Motors/Tricycle Gasoline 13,427 0 74,367 32,211 120,005 76.43

Diesel 0 0 0 0 0 0

Grand Total 156,997 100.00

xvii REGIONAL STATE OF BROWN ENVIRONMENT 2019


Environment and Management

Coastal and Marine Regional Resource Profile. The region has a total land area of

12,840.19 square kilometers with a total coastline of 708.17 kilometers. Region 1 also has a

total coastline zone area of 10,234.72 square kilometers. There are 21 areas considered as

wetlands covering 3,320.55 hectares. Fishing grounds and resources include: 45,790.50

hectares of sheltered coastal areas; 1,421.75 hectares fishpond areas; 46.38 hectares

freshwater fish pen areas; 57.66 hectares freshwater fish cage areas; and 4,111.36 hectares of

communal areas. Brackish fishpond area totals up to 13,084.25 hectares while mangrove area

totals up to 774.38 hectares.

Province of Ilocos Norte.

The province of Ilocos Norte has coastline length of 150.18 kilometers.

Coral reefs of Ilocos Norte are primarily located in the municipality of Badoc, Currimao,

Pasuquin, Burgos and Pagudpod, measuring a total area of 604.64 hectares.

Mangrove forest including seaweeds and seagrass are located in the municpality of Pasuquin,

Burgos, Currimao and Pagudpod wich measures an area of 179.08 hectares.

Also, Municipality of Pagudpod, Currimao, Badoc, Pasuquin and Paoay lake were considered

as major tourist spots with prime beaches and sand dunes.

International and local port and effective cargo shipping is located primarily at Currimao Port

area.

Laoag City is an urban area within coastal area. The Laoag River Basin drains into the

coastal area with 10 organized MFARMCs and eductional and research institutes.

It has approved Provincial CRM Framework Plan and enacted Municipal Fishery Ordinances

(MFOs).

Province of Ilocos Sur.

Province of Ilocos Sur has the second longest coastline in Region 1 which is estimatedly

about 157.53 hectares of area and also, Ilocos Sur has the longest and widest municipal water.

•With a vast area that can be devoted to mariculture (300 hectares presently available).

•Presence of 102.91 hectares of mangrove forest which is primarily located at the municipalities of

Caoayan, Candon, Sinait, Cabugao, San Juan, San Vicente, Vigan, Sta. Maria, San Esteban,

Candon, Sta. Lucia and Sta. Catalina

•Consists of 181 hectares of Coral reefs primarily located at the municipalities of Salomague,

Sulvec Cove, Cabugao Island, Magsingal, Sinait and Caoayan.

•Presence of developed beach resort areas with tourism-related facilities.

•With one (1) port, Salumague Port

•Vigan City and Candon City as urban areas in coastal areas.

xviii REGIONAL STATE OF BROWN ENVIRONMENT 2019


•Presence of educational and research institutions focusing on coastal development, Banaoang

River as major river tributary that drains into the coastal waters

•Approved Framework Plan on Provincial CRM.

Province of La Union.

•Coastline stretches to pproximately 114.70 kilometers, mostly within the declared

environmentally critical area of Lingayen Gulf.

•Vast fishery grounds and resources with the presence of Brackish water fishpond.

•With existing coral reefs in Darigayos, San Fernando City, Balaoan and Bacnotan

•Existing and potential Mangrove Forest located at Aringay, Bauang, Balaoan, Luna and San

Fernando City.

•Presence of seagrass and seaweeds at Agoo-Damortis National Park and Seascape

•Presence of long stretch of beautiful beach resorts and availability of tourism-related

facilities such as hotels and restaurants.

•Poro Point Economic Free Port Zone, Bacnotan Cement Plant (HOLCIM), Coca-cola Plant,

Fertilizer Plant, Bauang Private Power Plant (1590 Energy Co.), Pilipinas Shell and Chicken

Dressing Plant.

•Organized 100 percent of all FARMCs and fishfolk organization/association of City of San

Fernando, an urban area in coastal area

•Initial preparation of the CCDPs and approved Provincial CRM Framework Plan

•Bauang-Naguilian and Aringay Rivers as major tributaries that drain into the coastal waters

Province of Pangasinan.

The province of Pangasinan has the longest coastline in Region 1 with estimated 285.66

kilometers or 41.81% of the Total coastline in the region.

•Pangasinan also has vast fishing grounds and its resources include the Muncipality of Anda,

Alaminos, Bolinao and Bani with the presence of Hundred Island Marine National Park, with

the presence of prime and beautiful beaches and highly facilitated resorts and hotels including

exotic restaurants and food houses.

•Organized community associations and cooperatives, presence of education researches on

vast aquaculture areas.

•Presence of seagrass beds in Bolinao, Anda, Alaminos, Bani, Dasol, Infanta, Burgos and

Sual of around 50 square kilometers.

•Presence of Mangrove Forest whith estimated 453.39 hectares found in Bani, Anda, Bolinao,

Alaminos, Dasol, Sual, Labrador, Lingayen and Binmaley

•Established marine protected areas and fish sanctuaries in research fishery institutions.

xix REGIONAL STATE OF BROWN ENVIRONMENT 2019


•Most coastal municipalities within the environmentally critical areas of Lingayen Gulf, 2

cities (Dagupan and Alaminos) as urban areas in the coastal areas

•Presence of Sual Coal Fired Power Plant

Land Use

Production Land Use. The biggest sector to produce quality products is determined

in agriculture. About 1,026,148 hectares is being covered by the said sector which is

around 79.92 % of the total land area of the region.

Region 1 is the leader in the production of several agricultural crops. Region 1 has

been ranked first in producing quality mango, peanut, garlic, onion, mungbean and

milkfish. The province of Pangasinan was the highest producer of mango with a

production area of 6, 580 hectares. Ilocos Norte produced bulk of garlic with a

production area 9, 797 hectares as well as onions with estimated 11, 446 hectares

devoted to said crop. Province of Ilocos Sur had the biggest production area of

tobacco with estimated 13,515 hectares of potential irrigable area, accounting for

about one-fourth of the total area in the region. Some 152, 874 hectares were serviced

by various irrigation. Of the total 318, 892 hectares potential irrigable area, only 45.66

percent was irrigated, or a total of 145,604 hectares. The biggest irrigation system in

the region is located in San Manuel (San Roque). Productivity in the province in

general was constrained by poor irrigation system. Siltation and sedimentation in most

river systems adversely affected the supply of irrigation waters. Agno River, one of

the biggest watersheds in the region, is heavily silted and prone to flood. The

impending El Nino could directly affect the watershed which could eventually affect

also the irrigation system of the region. It could be noted in Table 13 that in Ilocos

Norte, only 63.41% of the total potential area is developed. Less than half (45.66%) of

the

potential irrigable area is only developed in the region (NEDA Region 1-PSEP, 2012).

DEMOGRAPHIC PROFILE

Demography is the statistical study of human populations. It can be a very general

science that can be applied to any kind of dynamic living population, one that changes

over time or space. It encompasses the study of the size, structure, and distribution of

these populations, and spatial and/or temporal changes in them in response to birth,

migration, aging and death.

Population Profile. A census is the other common direct method of collecting

demographic data. A census is usually conducted by a national government and

attempts to enumerate every person in a country. However, in contrast to vital

statistics data, which are typically collected continuously and summarized on an

annual basis, censuses typically occur only every 10 years or so, and thus are not

usually the best source of data on births and deaths. Analyses are conducted after a

census to estimate how much over or undercounting took place. These compare the

sex ratios from the census data to those estimated from natural values and mortality

data.

xx REGIONAL STATE OF BROWN ENVIRONMENT 2019


Censuses do more than just count people. They typically collect information about

families or households in addition to individual characteristics such as age, sex,

marital status, literacy/education, employment status, and occupation, and graphical

location. They may also collect data on migration (or place of birth or of previous

residence), language, religion, nationality (or ethnicity or race), and citizenship.

Population Level. The population level of Region 1 posted an increase of 6.10%

from the year 2000 with a total population of 4,200,478 to 4,748,372 in 2010 (Table

15). Province of Pangasinan showed the highest percentage increase of 15.8%

followed by the province of La Union which increased by about 14.4 % of population

growth. However, almost half of the population of Region 1 is seen in the province of

Pangasinan. Ilocos Norte showed the lowest increase of population growth which is

just 10.3%. Additionally, province of Ilocos Sur has 11.7% increase over the span of

ten (10) years.

Population Growth Rates. The annual population growth rate in 2010 showed a

declining trend from 2.15% to 1.23%. This may mean a decrease in crude birth rates

for the past ten (10) years which probably attributed to improved family planning and

higher literacy rate. In Region 1, the functional rate in 2008 was 91.3% (NSCB,NSO).

Population Density. Ilocos Region covers around12,840.19 square kilometers of land

area. With its total population of 4,748,372 in 2010, there were 354 persons

occupying per square kilometers of land. This means that there were six (6) persons

more than what is known in the year 2007.

Based on the report gathered from the National Economic Development Authority

(NEDA) Region 1, the population density of the province of Pangasinan was 493

person per square kilometers in 2010 which was the highest population density among

the four provinces, followed by the province of La Union. However, the province of

Ilocos Norte has the lowest population density in the Region.

Table 12. Land Use of Region 1

Land Use Region 1 Ilocos Norte Ilocos Sur La Union Pangasinan Percent Distribution

A. Agricultural Lands 1,026,148 223,535 205,021 125,026 472,566 79.92

Seasonal Cropland 374,820 69,277 50,350 33,344 221,849 29.19

Annual/Perrineal Cropland

30,027 1,912 3,101 2,119 22,895 2.34

Pasturelands Managed pasture

14,557 2,877 9,751 1,929 1.13

Grassland/shrubland 589,403 149,170 141,369 88,485 210,379 45.90

Fishery Areas Fishpond

14,215 50 450 1,078 12,637 1.11

Swampy areas 2,877 2,877 .22

lake 249 249 .02

B. Forest Areas 174,012 98,797 30,194 12,669 32,352 13.55

C. Built-up Areas 50,267 6,628 10,221 9,146 24,272 3.91

D. Miscellaneous Land

33,592 10,974 12,522 2,468 7,628 2.62

Total Area 1,284,019 339,934 257,958 149,309 536,818 100

xxi REGIONAL STATE OF BROWN ENVIRONMENT 2019


Economic Performance of the Region. Based on the quarterly report of the National

Economic and Development Authority (NEDA) Regional Office 1, the highest economic

producers were in the sector of Agriculture. Crops produced were almost 3,209.0000 metric

tons in the whole Region 1. The biggest producer of crop is the province of Pangasinan.

These crops include rice, corn and rooted variety. Moreover, the livestock sector increased in

production at 129.9 metric tonnes (liveweight) for the year 2014 from 132.0 metric tonnes

(liveweight) in 2013. From the sector of fishery, production was increased from 155.7 000

metric tonnes in the year 2013 to 174.2 metric tonnes in the year 2014.

Labor. In 2014 the rate of labor force in Region 1 was higher at 61.7 % compared to 61.3%

in 2013 while the rate of employment in 2014 was 91.6% compared to the employment rate of

the previous year which was 91.7% reflecting a slight decrease of 0.9%. The Unemployment

rate of 2014 slightly increased to 8.4% compared to the unemployment rate in 2013 which

was 8.3%. However, underemployment rate slightly improved from the previous rate of

20.0% to 16.0% in 2014.

The huge inflows were generated through

Business Name Registration (BNR) and SEC registration.

Province Total Population Projected Population % increase

Growth Rate 2000-

2010 2000 2010 2013 2016

Region 1 4,200,478 4,748,372 4,924,061 5,128,241 6.1 1.23

Ilocos Norte 461,661 568,017 590,737 607,778 10.3 1.00

Ilocos Sur 519,966 658,587 737,617 803,461 11.7 1.03

La Union 548,742 741,906 801,258 845,772 14.7 1.21

Pangasinan 2,020,273 2,779,862 2,918,855 3,030,049 15.8 1.34

Provinces Potential Irrigable Area

(hectares)

Existing Service Areas (Hectares) Percentage Irrigation

Development NIS CIS Private/Pumps

Region 1 318,892 60,254.00 43,427.00 41,923.00 45.66

Ilocos Norte 57,134 14,167.00 8,651.00 13,408.00 63.41

Ilocos Sur 45,497 3,681.00 8,775.00 4,885.00 38.11

La Union 35,000 4,837.00 5,448.00 2,528.00 36.61

Pangasinan 181,261 37,569.00 43,427.00 21,102.00 56.33

Table 13. Area Irrigated and Irrigation Coverage of Region 1

Table 14. Population and Annual Growth Rates in Region 1

xxii REGIONAL STATE OF BROWN ENVIRONMENT 2019


Trade exists for man due to specialization and division of labor, in which most people

concentrate on a small aspect of production, and trading for other products. Trade exists

between regions because different regions have a comparative advantage in the production of

some tradable commodity or because different sizes of regions allow the benefits of mass

production. As such, trade at market prices between locations benefits both locations. Trade

and industry in Region 1 seems to be increasing. Based on the Department of Trade and

Industry information in 2012, there were about 5, 758.10 million pesos of invesment

generated in the region which estimated about 1.45% of the total investment of the country.

However, the export services of goods and commodity of the region decreased from 37.17

million dollars in 2011 to 32.20 million dollars in 2012. This was probably caused by low

production and internal agreements between other countries. Based on the report of DTI, the

total export of Region 1 was just 0.08% of the total export of the country. In the year 2012,

the Province of La Union has the highest export in the region, amounting to 18.44 million

dollars which is about 57.27% of the total export in the region, followed by the province of

Ilocos Norte which was about 30.96% of the total export of the region.

Mineral Production. There was a decline in almost all mineral production in the last quarter

of 2008. Though sand and gravel went up by 16.05%, other calcareous sandstone posted

higher production by 157%, bentonite (higher by 86%) and zeolite (increased by 14%). The

last quarter of 2008 was relatively better than the last quarter of 2007 as most of the minerals

posted higher outputs except for feldspar (decreased by 78.60%), sand and gravel (lower by

9.28%) and calcareous sandstone (decreased by 8.28%).

The decline in production of some minerals was due to the continued low demand and limited

orders from customers while the increase in production for the other minerals was due to high

volume of production, high demand for specific mineral and more operating days.

Tourism. The tourism industry in Region 1 steadily improved in 2013. Tourist arrival was

estimated at 755,716.00 individuals. From 627,725.00 in 2012, it was incresed by 127,991.00

tourists. The Province of Ilocos Norte has the highest tourist arrival with 254,201 followed by

the province of Pangasinan and the province of Ilocos Sur with 142,614 tourists. However,

the province of La Union has the lowest arrival of tourists with estimated 110,246 tourists.

Table 15. Population Density of Region 1

Among the famous landmarks are Cape Bojedor Lighthouse, Marcos Museum, Paoay Church,

Paoay Sand Dune and Paoay Lake, Patapat Viaduct and Bangui Wind Mill in Ilocos Norte.

•Bessang Pass, ancestral Houses, Sta. Maria Church, Tirad Pass, Pagburnayan and Plaza

Burgos, Heritage Houses in Vigan and Baluarte in Ilocos Sur.

Provinces 2000 2007 2010

Region 1 327.00 348.40 354.00

Ilocos Norte 151.00 130.70 161.00

Ilocos Sur 230.00 243.50 245.00

La Union 441.00 434.50 483.00

Pangasinan 453.00 430.60 493.00

xxiii REGIONAL STATE OF BROWN ENVIRONMENT 2019


•Botanical Garden, Museo Iloco, Agoo Basilica, Pindangan Ruins, Macho Temple, and

different beaches in La Union.

•Hundred Islands, Manaoag Church, San Roque Multi-purpose Dam, Lingayen Gulf, War

Memorial Park and Bangus Fish Pens in the Province of Pangasinan.

REGIONAL STATE OF BROWN ENVIRONMENT 2019 1

ENVIRONMENTAL MANAGEMENT SECTOR

Environmental Management represents the wise use of activity and resources to have an impact on the

world. It does not involve managing the environment itself, but it is the process of taking steps and

behaviors to have a positive result on the environment. Many organizations build up a management

plan or system to implement, manage and maintain environmental goals. Management plans for the

environment are constructed by many companies and organizations, as taking care of the planet is the

responsibility of everybody in every type of profession.

Thus, being an environmental advocate, the Environmental Management Bureau Region I has taken

the initiative to study and determine the status of air and water quality. Likewise, efforts are exerted

for the management of toxic chemicals and hazardous waste as well as the solid waste in the Region.

Other activities undertaken are assessment of environmental impacts brought by different firms and

enforcement of Environmental Laws.

AIR QUALITY MANAGEMENT

Differential Optical Absorption Spectroscopy (DOAS)

Urdaneta City, Pangasinan

The Differential Optical Absorption Spectroscopy (DOAS) is installed at Brgy. Anonas, Urdaneta

City in the province of Pangasinan with geo-coordinates of 15°59’54” N, 120°34’15” E. It measures

nine (9) hazardous criteria pollutants namely: Carbon Monoxide (CO), Photochemical Oxidants as

Ozone (O3), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), Particulate Matter 10 and Particulate

Matter 2.5, Benzene, Toluene, and Xylene. The hazardous criteria pollutants have different

characteristics and health impacts.

Carbon Monoxide (CO)

Carbon monoxide is a toxic gas, but, being colorless, odorless, tasteless, and initially non-irritating, it

is very difficult for people to detect. Carbon monoxide is a product of incomplete combustion of

organic matter due to insufficient oxygen supply to enable complete oxidation to carbon

dioxide (CO2). It is often produced in domestic or industrial settings by motor vehicles that run

on gasoline, diesel, methane, or other carbon-based fuels and from tools, gas heaters, and cooking

equipment that are powered by carbon-based fuels such as propane, butane, and charcoal. Carbon

monoxide levels typically are highest during cold weather, because cold temperatures make

combustion less complete and cause inversions that trap pollutants close to the ground.

Photochemical oxidants as Ozone (O3)

Ground level or "bad" ozone is not emitted directly into the air but is created by chemical reactions

between oxides of nitrogen (NOx) and volatile organic compounds (VOC) in the presence of sunlight.

Emissions from industrial facilities and electric utilities, motor vehicle exhaust, gasoline vapors, and

chemical solvents are some of the major sources of NOx and VOC. Breathing ozone can trigger a

variety of health problems, particularly for children, the elderly, and people of all ages who have lung

diseases such as asthma. Ground level ozone can also have harmful effects on sensitive vegetation and

ecosystems.

Sulfur Dioxide (SO2)

Sulfur dioxide (SO2), at standard atmosphere, is a toxic gas with a pungent, irritating, and rotten

smell. Sulfur dioxide is a major air pollutant and has significant impacts on human health. In addition,

the concentration of sulfur dioxide in the atmosphere can influence the habitat suitability for plant

communities, as well as animal life.

https://en.wikipedia.org/wiki/Oxygen

https://en.wikipedia.org/wiki/Oxidation

https://en.wikipedia.org/wiki/Carbon_dioxide

https://en.wikipedia.org/wiki/Carbon_dioxide

https://en.wikipedia.org/wiki/Gasoline

https://en.wikipedia.org/wiki/Diesel_fuel

https://en.wikipedia.org/wiki/Methane

https://en.wikipedia.org/wiki/Carbon-based_fuel

https://en.wikipedia.org/wiki/Propane

https://en.wikipedia.org/wiki/Butane

https://en.wikipedia.org/wiki/Sulfur

https://en.wikipedia.org/wiki/Sulfur

https://en.wikipedia.org/wiki/International_Standard_Atmosphere


Nitrogen Dioxide (NO2)

NO2 is a reddish-brown gas with a pungent and irritating odor. It transforms into the air to form

gaseous nitric acid and toxic organic nitrates. NO2 also plays a major role in atmospheric reactions

that produce ground-level ozone, a major component of smog. It is also a precursor to nitrates, which

contribute to increased respirable particle levels in the atmosphere

Benzene

Benzene is a colorless liquid with a sweet odor. It evaporates into the air very quickly and dissolves

slightly in water. Outdoor air contains low levels of benzene from tobacco smoke, automobile service

stations, exhaust from motor vehicles, and industrial emissions. Vapors (or gases) from products that

contain benzene, such as glues, paints, furniture wax, and detergents, can also be a source of

exposure. Air around hazardous waste sites or gas stations will contain higher levels of benzene.

Working in industries that make or use benzene.

Toluene

Toluene is added to gasoline, used to produce benzene, and used as a solvent. Exposure to toluene

may occur from breathing ambient or indoor air affected by such sources. The central nervous system

(CNS) is the primary target organ for toluene toxicity in both humans and animals for acute (short-

term) and chronic (long-term) exposures. CNS dysfunction and narcosis have been frequently

observed in humans acutely exposed to elevated airborne levels of toluene; symptoms include fatigue,

sleepiness, headaches, and nausea.

Xylene

Xylene is a powerful chemical compound that is found in many household and industrial items. This

chemical is colorless but has a very distinctive odor. Products that contain xylene include paints,

varnishes, fingernail polish, adhesives, rubber cement and gasoline. Exposure to xylene in any fashion

whether it be inhaled, ingested, skin contact or eye contact can cause some harmful health effects.

Particulate Matter 10 and Particulate Matter 2.5

Particulate matter (PM) refers to small solid or liquid particles floating in the air. These particles can

be made up of different substances, including carbon, sulfur, nitrogen and metal compounds.

PM10 includes fine particles as well as coarse particles that ranges in sizes from 2.5 to 10 micrometers

in diameter. The coarse particles tend to stay in the upper parts of our respiratory tract, such as the

nose and throat.

Fine particles which have diameters less than 2.5 micrometers (PM2.5) are linked to more serious

health effects than larger particles. PM2.5 is about one-eighth the diameter of a human hair. Human

sources include motor vehicle use, combustion products from space heating, industrial processes,

power generation. Natural sources include soil, bacteria, and viruses, fungi, molds and yeast, pollen

and salt particles from evaporating sea water.

Amongst the nine (9) criteria pollutants, six (6) have National Ambient Air Quality Guideline Values

(NAAQGV) and standards pursuant to Section 12 of RA 8749 and Section 1(a) Rule VII of the IRR

of RA8749 otherwise known as the Philippine Clean Air Act of 1999.The aim is to protect public

health and safety and general welfare. Table 1 is the National Ambient Air Quality Guideline for

criteria of pollutants.


Table 1. National Ambient Air Quality Guideline Values for Criteria Pollutants

Health Effects to People Exposed to Criteria Air Pollutants

Carbon monoxide (CO) enters the bloodstream through the lungs and binds to hemoglobin, the

substance in blood that carries oxygen to cells. It reduces the amount of oxygen reaching the body’s

organs and tissues.

Ozone (O3) affects the lungs and respiratory system in many ways. It can:

Irritate the respiratory system, causing coughing, throat soreness, airway irritation, chest

tightness, or chest pain when taking a deep breath.

Reduce lung function, making it more difficult to breathe as deeply and vigorously as you

normally would, especially when exercising. Breathing may start to feel uncomfortable, and

you may notice that you are taking more rapid and shallow breaths than normal.

Sulfur Dioxide (SO2) in the ambient air has been associated with reduced lung function, increased

incidence of respiratory symptoms and diseases, irritation of the eyes, nose, and throat, and premature

mortality. Moderate activity levels that trigger mouth breathing, such as a brisk walk, are needed for

sulfur dioxide to cause health effects in most people.

Nitrogen Dioxide (NO2) inflames the lining of the lungs, and it can reduce immunity to lung

infections. This can cause problems such as wheezing, coughing, colds, flu and bronchitis

Pollutants

Short terma Long Term

b

µg/Ncm ppm Averaging

Time µg/Ncm ppm

Averaging

Time

Suspended

Particulate Matterc

TSP 230d 24 hours 90 1 year

e

PM-10

PM-2.5

150f

50 24 hours

60

25

1 yeare

1 yeare

Sulfur Dioxidec 180 0.07 24 hours 80 0.03 1 year

Nitrogen Dioxide 150 0.08 24 hours

Photochemical

Oxidants as Ozone

140 0.07 1 hours

60 0.03 8 hours

Carbon Monoxide 30 1 hour

9 8 hours

Leadg 1.5 3 months

g 1

a. Maximum limits represented by ninety-eight (98%) values not to exceed more than once a year. b Arithmetic Mean c SO2 and suspended particulate matter are sampled once every six days when using the manual methods. A minimum of twelve sampling days per

quarter or forty-eight sampling days each year is required for these methods. Daily sampling November be done in the future once continuous analyzers are produced and become available. d Limits of total suspended particulate matter with mass median diameter less than 25-50 µm e Annual Geometric mean f Provisional limits for Suspended Particulate Matter with mass median diameter less than 10 µm and below until sufficient monitoring data are

gathered to base a proper guideline. g Evaluation of this guideline is carried out for 24 hour averaging time and averaged over three moving calendar months. The Monitored average value for any three months shall not exceed the guideline value


Benzene exposure may cause narcosis: headache, dizziness, drowsiness, confusion, tremors and loss

of consciousness. Benzene also may cause moderate eye irritant and a skin irritant.

Toluene exposure can irritate the nose and throat causing coughing and wheezing. It also affect the

nervous system causing trouble concentrating, headaches, and slowed reflexes. Toluene prolonged or

repeated exposure can cause drying and cracking of the skin with redness and skin rash.

Xylene exposure can cause headaches, nausea, and vomiting, dizziness, light-headedness, and passing

out. Repeated exposure can affect concentration, memory, vision, and muscle coordination.

Particulate Matter 10 and Particulate Matter 2.5 can cause or aggravate a number of health

problems and have been linked with illnesses and deaths from heart or lung disease. These effects

have been associated with both short-term exposures (usually over 24 hours, but possibly as short as

one hour) and long-term exposures (years).

Monitoring and Evaluation of the Criteria Pollutants

The short-term evaluation for the six (6) criteria pollutants for the parameters namely; Ozone

(O3), Carbon Monoxide (CO), Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), Particulate Matter 10

and Particulate Matter 2.5 were evaluated on an hourly, eight hourly and 24-hours respectively.

Methods of Sampling

Differential Optical Absorption Spectroscopy (DOAS), is a widely used method to determine

concentrations of atmospheric parameters. DOAS Urdaneta City monitors nine (9) hazardous criteria

pollutants namely: Carbon Monoxide (CO), Photochemical Oxidants as Ozone (O3), Sulfur Dioxide

(SO2), Nitrogen Dioxide (NO2), Particulate Matter 10 and Particulate Matter 2.5, Benzene, Toluene

and Xylene. The process flow of amount determining pollutant concentration starts from the Emitter

which produces light rays then received by the Receiver, Opsis AR 500 System detects and analyzes

SO2, NO2, O3, and BTX while Model 48i Trace Level Enhanced analyzes CO concentration and

TEOM 1405-D analyzes PM10 and PM 2.5. After the equipment analyzes pollutant concentration the

Analogue Web logger Enviman automatically trasmits results from the Data Acquisition System to

the regional office monitoring network. Results are recorded in real time.


Results and Interpretation

1. Ozone (O3)

1.1 Ozone, 1-Hour Average

There were 7358 data captured in CY 2019 and recorded values are below the NAAQGV of 140 µg /Ncm for 1-hour averages. Table 2 reflected

annual average value of 15.14 µg/Ncm, minimum ranges from 0.161 µg/Ncm to 6.987 µg/Ncm and maximum ranges from 25.02 µg/Ncm to 146.402

µg/Ncm.

Table 2. Ozone, 1-Hour Average Annual Data

No of Data

Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm Date of Max

Min;

µg/Ncm Date of Min

98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 550 73.92% 15.67 104.83 21/01/2019 15:00 0.16 02/01/2019 4:00 31.67 34.52

February 672 100.00% 19.20 34.64 22/02/2019 11:00 7.33 08/02/2019 5:00 30.01 31.38

March 743 99.87% 18.81 37.62 15/03/2019 6:00 6.92 13/03/2019 2:00 30.89 32.1

April 689 95.69% 17.27 146.40 19/04/2019 12:00 4.85 25/04/2019 27.59 29.06

May 744 100.00% 16.59 68.99 28/05/2019 7:00 6.99 18/05/2019 18:00 32.51 41.31

June 708 98.33% 15.80 69.02 09/06/2019 7:00 5.07 24/06/2019 1:00 34.06 42.05

July 742 99.73% 12.75 58.57 28/07/2019 9:00 0.36 08/07/2019 5:00 24.47 24.47

August 743 99.87% 16.14 71.48 26/08/2019 7:00 0.45 13/08/2019 6:00 27.57 35.95

September 455 61.16% 13.32 45.74 26/09/2019 7:00 1.33 20/09/2019 4:00 26.92 35.79

October 669 89.92% 15.82 48.52 03/10/2019 6:00 1.97 01/10/2019 2:00 27.53 27.53

November 279 37.50% 10.88 25.02 13/11/2019 15:00 0.31 24/11/2019 2:00 20.48 21.06

December 364 48.92% 9.43 35.03 08/12/2019 5:00 0.18 07/12/2019 23:00 19.36 20.95

Annual 7358 83.74% 15.14 146.402 19/04/2019 12:00 0.161 02/01/2019 4:00 27.76 31.35


1.2 Ozone, Eight (8) Hour Average

There were 960 data captured in CY 2019 and recorded values are below the NAAQGV of 60 µg/Ncm. Table 3, Ozone’s eight (8) hourly annual

average value is 15.08 µg/Ncm, with minimum value ranges from 0.628 µg/Ncm to 12.323 µg/Ncm and maximum value ranges from 16.98 µg/Ncm to 78.81

µg/Ncm.


No of Data

Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm Date of Max

Min;

µg/Ncm Date of Min 98%-ile; µg/Ncm

99%-ile;

µg/Ncm

January 92 98.92% 14.72 35.51 15/01/2019 16:00 2.58 14/01/2019 16:00 26.94 27.37

February 84 100.00% 19.19 27.51 22/02/2019 8:00 12.27 06/02/2019 0:00 26.54 26.54

March 93 100.00% 18.86 29.00 23/03/2019 8:00 12.32 21/03/2019 27.62 27.89

April 88 97.78% 17.82 78.81 19/04/2019 12:00 9.74 25/04/2019 24.68 25.48

May 93 100.00% 16.52 29.82 28/05/2019 8:00 10.83 19/05/2019 26.35 26.8

June 89 98.89% 15.73 24.72 03/06/2019 10.11 20/06/2019 22.68 22.74

July 93 100.00% 12.74 27.94 28/07/2019 8:00 4.08 13/07/2019 0:00 22.05 25.31

August 93 100% 16.50 55.67 19/08/2019 8:00 10.84 16/08/2019 0:00 25.08 28.72

September 58 64% 13.42 25.69 26/09/2019 8:00 6.69 20/09/2019 16:00 22.30 23.84

October 84 90% 15.82 25.36 14/10/2019 8:00 6.535 01/10/2019 0:00 25.093 25.348

November 34 38% 10.87 17.83 26/09/2019 8:00 4.998 20/09/2019 16:00 17.14 17.49

December 59 63.4% 8.783 16.98 02/12/2019 8:00 0.628 24/12/2019 8:00 16.47 16.76

Annual 960 87.58% 15.08 78.81 19/04/2019 12:00 0.628 24/12/2019 8:00 23.58 24.52


2. Carbon Monoxide (CO)

2.1 Carbon Monoxide, 1-Hour Average

There were 6480 data captured in CY 2019 and recorded values are far below the NAAQGV of 30 ppm for 1-hour average. Table 4 presents

the carbon monoxide (CO) annual average value of 0.004 ppm, minimum ranges from 0 to 0.002 ppm and maximum ranges of 0.007 to 0.10 ppm.

Table 4. Carbon Monoxide, 1-Hour Average

No of

Data

Data

coverage

Average;

ppm Max; ppm Date of Max Min; ppm Date of Min

98%-ile;

ppm

99%-ile;

ppm

January 742 99.73% 0.004 0.038 21/01/2019 16:00 0.001 26/01/2019 20:00 0.01 0.01

February 672 100.00% 0.004 0.008 17/02/2019 20:00 0 05/02/2019 9:00 0.01 0.01

March 743 99.87% 0.005 0.06 02/03/2019 9:00 0.001 09/03/2019 7:00 0.01 0.01

April 60 8.33% 0.005 0.007 01/04/2019 12:00 0.002 03/04/2019 6:00 0.01 0.01

May

NO DATA June

July

August

September 126 16.94% 0.005317 0.01 28/09/2019 18:00 0 25/09/2019 19:00 0.01 0.01

October 667 89.65% 0.00 0.01 06/10/2019 12:00 0 07/10/2019 9:00 0.01 0.01

November 278 37.37% 0.01 0.01 27/11/2019 8:00 0 26/11/2019 18:00 0.01 0.01

December 648 87.10% 0.00 0.10 31/12/2019 21:00 0 14/12/2019 2:00 0.01 0.01

Annual 3936 67.37% 0.004 0.1 31/12/2019 21:00 0 05/02/2019 9:00 0.01 0.01


2.2 Carbon Monoxide, Eight (8) Hour Average

The recorded values are far below the NAAQGV of 9 ppm for eight (8) -hour averages. Table 5 reflected Carbon Monoxide (CO) eight (8) hourly

annual average of 0.01 ppm, minimum ranges from 0 to 0.003 ppm and maximum ranges from 0.01 ppm to 0.025 ppm. All results are below the NAAQGV

of 9 ppm.

Table 5. Carbon Monoxide, 8-Hour Average Annual Data

No of Data

Data

coverage

Average;

µg/Ncm Max; µg/Ncm Date of Max Min; µg/Ncm Date of Min

98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 93 100.00% 0.004 0.008 21/01/2019 16:00 0.002 07/01/2019 8:00 0.01 0.01

February 84 100.00% 0.004 0.006 17/02/2019 16:00 0.002 26/02/2019 8:00 0.000 0.000

March 93 100.00% 0.005 0.025 02/03/2019 8:00 0.002 09/03/2019 0.01 0.01

April 8 8.89% 0.005 0.006 01/04/2019 16:00 0.003 03/04/2019 0.01 0.01

May

NO DATA June

July

August

September 16 18% 0.01 0.01 26/09/2019 16:00 0.00 28/09/2019 0:00 0.01 0.01

October 84 90% 0.003 0.010 10/10/2019 0:00 0.000 26/10/2019 8:00 0.010 0.010

November 41 46% 0.005 0.010 26/09/2019 16:00 0.000 28/09/2019 0:00 0.01 0.01

December 82 88.2% 0.005 0.019 31/12/2019 0:00 0.000

19/12/2019

16:00 0.01 0.01

Annual 501 68.89% 0.01 0.025 02/03/2019 8:00 0 28/09/2019 0:00 0.01 0.01


3. Sulfur Dioxide, 24 - Hour Average

Table 6 reflected Sulfur Dioxide (SO2) annual average of 11.73 µg/Ncm, minimum ranges from 6.41 to 12.55 µg/Ncm and maximum ranges from

9.89 µg/Ncm to 18.42 µg/Ncm. The recorded values met the 24-hourly average criteria of 180 ug/Ncm.

Table 6. Sulfur Dioxide, 24 - Hour Average Annual Data

No of Data Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm

Date of

Max

Min;

µg/Ncm

Date of

Min

98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 31 100% 11.99 14.26 17/01/2019 7.88 29/01/2019 14.24 14.26

February 28 100% 9.31 9.89 25/02/2019 8.24 02/02/2019 9.75 9.87

March 31 100% 8.67 10.86 10/03/2019 7.01 31/03/2019 10.36 10.86

April 30 100% 10.71 13.97 16/04/2019 6.41 01/04/2019 13.01 13.97

May 31 100% 13.22 14.63 18/05/2019 12.01 02/05/2019 14.42 14.63

June 30 100% 13.18 16.49 21/06/2019 11.73 07/06/2019 14.91 16.49

July 31 100% 12.55 14.75 14/07/2019 10.56 01/07/2019 14.67 14.67

August 31 100% 11.89 18.42 19/08/2019 10.01 16/08/2019 15.74 17.08

September 21 70% 12.93 15.47 20/09/2019 10.47 03/09/2019 15.32 15.40

October 28 90.32% 10.89 12.98 02/10/2019 9.82 09/10/2019 12.51 12.51

November 13 43% 13.58 15.33 16/11/2019 12.55 13/11/2019 15.01 15.17

December 31 100% 11.84 17.63 26/12/2019 8.77 14/12/2019 15.70 16.67

Annual 336 91.94% 11.73 18.42 19/08/2019 6.41 01/04/2019 13.80 14.30


4. Nitrogen Dioxide (NO2), 24 - Hour Average

Table 7 reflected Nitrogen Dioxide annual average of 27.80 µg/Ncm, minimum ranges from 7.62 µg/Ncm to 30.46 µg/Ncm and maximum

ranges from 28.26 µg/Ncm to 67.27 µg/Ncm. The recorded values met the 24-hourly average criteria of 150 µg/Ncm.

Table 7. Nitrogen Dioxide, 24 - Hour Average Annual Data

No of Data

Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm

Date of

Max

Min;

µg/Ncm

Date of

Min

98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 31 100% 18.53 41.32 23/01/2019 7.62 03/01/2019 38.98 41.32

February 28 100% 32.45 43.09 21/02/2019 24.63 10/02/2019 41.92 43.09

March 31 100% 29.41 41.79 02/03/2019 20.27 03/03/2019 36.22 41.79

April 30 100% 24.49 39.30 18/04/2019 12.16 19/04/2019 30.65 39.3

May 31 100% 22.40 32.86 06/05/2019 11.88 17/05/2019 32.20 32.86

June 30 100% 20.83 28.26 04/06/2019 15.81 09/06/2019 24.44 28.26

July 31 100% 20.38 30.72 31/07/2019 13.19 23/07/2019 29.94 29.94

August 31 100% 22.34 50.73 19/08/2019 10.52 23/08/2019 40.09 45.41

September 21 70% 29.58 35.30 27/09/2019 19.88 01/09/2019 35.14 35.22

October 28 90.32% 37.64 52.36 14/10/2019 30.46 05/10/2019 48.62 48.62

November 13 43% 34.519 39.824 14/11/2019 29.630 17/11/2019 39.568 39.696

December 31 100% 41.054 67.270 29/12/2019 23.045 01/12/2019 63.306 65.288

Annual 336 91.94% 27.80 67.27 29/12/2019 7.62 03/01/2019 38.42 40.90


5. Particulate Matter

5.1 Particulate Matter 10 (PM10), 24 - Hour Average

Table 8 reflected annual average PM10 value of 22.28 µg/Ncm, minimum ranges from 1.34 µg/Ncm to 16.69 µg/Ncm; and maximum ranges from

32.85 µg/Ncm to 121.36 µg/Ncm. The recorded values are below the NAAQGV of 150 µg/Ncm for 24-hour averages.

Table 8. PM10, 24-Hour Average Annual Data

No of Data Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm

Date of

Max

Min;

µg/Ncm

Date of Min 98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 31 100% 19.17 33.81 12/01/2019 8.44 04/01/2019 0.00 33.81

February 28 100% 21.68 34.50 22/02/2019 13.20 01/02/2019 29.64 34.50

March 31 100% 32.68 121.36 02/03/2019 16.69 16/03/2019 54.98 121.36

April 30 100% 20.86 32.85 22/04/2019 7.04 08/04/2019 32.36 32.85

May 31 100% 18.53 38.68 15/05/2019 7.98 09/05/2019 33.01 38.68

June 30 100% 16.15 48.35 25/06/2019 5.35 27/06/2019 34.38 48.35

July 31 100% 24.49 50.94 05/07/2019 7.55 11/07/2019 50.09 50.09

August 28 90% 16.53 36.28 16/08/2019 3.42 10/08/2019 34.47 35.38

September 21 70% 20.90 53.40 23/09/2019 1.34 01/09/2019 51.61 52.50

October 28 90.32% 27.44 48.03 19/10/2019 11.47 17/10/2019 47.24 47.24

November 18 60% 31.11 50.59 14/11/2019 12.73 18/11/2019 49.74 50.16

December 31 100% 17.82 33.41 03/12/2019 5.98 04/12/2019 32.06 32.74

Annual 338 92.53% 22.28 121.36 02/03/2019 1.34 01/09/2019 37.47 48.14


5.2 Particulate Matter 2.5 (PM2.5), 24 - Hour Average

Table 9 reflected annual average of PM2.5 of 15.70 µg/Ncm, minimum ranges from 0.61 µg/Ncm to 11.84 µg/Ncm; and maximum ranges from 23.04

µg/Ncm to 104.07 µg/Ncm. The high concentration was attributed by the burning of stock firewood within the compound of the monitoring site. The

recorded data met the NAAQGV of 50 µg/Ncm for 24-hour average.

Table 9. PM2.5, 24 - Hours Average Annual Data

No of Data Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm

Date of

Max

Min;

µg/Ncm

Date of Min 98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 31 100% 15.06 27.23 12/01/2019 5.76 04/01/2019 0.00 27.23

February 28 100% 16.31 28.44 22/02/2019 9.14 01/02/2019 24.99 28.44

March 31 100% 20.37 104.07 02/03/2019 7.15 16/03/2019 36.90 104.07

April 30 100% 13.94 31.73 05/04/2019 5.67 25/04/2019 24.15 31.73

May 31 100% 11.57 23.04 15/05/2019 5.22 13/05/2019 21.95 23.04

June 30 100% 11.27 36.26 25/06/2019 3.53 01/06/2019 23.00 36.26

July 31 100% 15.40 30.76 05/07/2019 6.48 29/07/2019 30.13 29.50

August 28 90% 12.45 28.87 16/08/2019 1.95 10/08/2019 28.80 28.83

September 21 70% 18.47 46.54 23/09/2019 1.26 01/09/2019 45.59 46.06

October 28 90.32% 25.84 48.35 19/10/2019 11.84 17/10/2019 46.97 45.59

November 18 60% 14.57 34.95 14/11/2019 1.97 28/11/2019 33.94 34.45

December 31 100% 13.12 37.73 24/12/2019 0.61 28/12/2019 33.76 35.74

Annual 338 92.53% 15.70 104.07 02/03/2019 0.61 28/12/2019 29.18 39.25


Table 10. Number and Percentage of Samples exceeding the National Ambient Air Quality Guideline Value

Month Carbon Monoxide (ppm)

Phtochemical Oxidants as Ozone

(µg/Ncm)

Sulfur Dioxide

(µg/Ncm)

Nitrogen

Dioxide

(µg/Ncm)

Particulate

Matter 10

(µg/Ncm)

Particulate

Matter 2.5

(µg/Ncm)

1-Hour 8-Hour 1-Hour 8-Hour 24-Hour 24-Hour 24-Hour 24Hour

Exceedance % Exceedance % Exceedance % Exceedance % Exceedance % Exceedance % Exceedance % Exceedance %

January 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

February 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

March 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

April 0

0

1 0.14 1 1.11 0 0 0 0 0 0 0 0

May 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

June 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

July No data - No data - 0 0 0 0 0 0 0 0 0 0 0 0

August No data - No data - 0 0 0 0 0 0 0 0 0 0 0 0

September 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

October 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

November 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

December 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

NAAQGV 35 9 140 60

180 150 150 50


6. Annual Number and Percentage of Samples exceeding the National Ambient Air

Quality Guideline Value

Table 10 presents the Number and Percentage of Samples exceeding the National Ambient

Air Quality Guideline Value.

6.1 Carbon Monoxide

The one hour and eight hour monthly average data recorded met the guideline values

of 30 ppm and 9 ppm respectively.

6.2 Ozone

The one hour and eight hour monthly average data recorded met the guideline values

of 140 µg/Ncm and 60 µg/Ncm respectively.

6.3 Sulfur Dioxide, 24 Hours Average

The twenty-four hour monthly average data recorded met the guideline values of 180

µg/Ncm for Sulfur Dioxide.

6.4 Nitrogen Dioxide, 24 Hours Average

The twenty-four hour monthly average data recorded met the guideline values of 150

µg/Ncm for Nitrogen Dioxide.

6.5 Particulate Matter

6.5.1 Particulate Matter (PM10)

The annual monthly generated data met the NAAQGV of 150 µg/Ncm.

6.5.2 Particulate Matter (PM2.5)

The annual monthly generated data met the NAAQGV of 50 µg/Ncm.


7. Comparison of Annual Geometric Mean Data, CY 2015 to CY 2019

Table 11. Geometric Mean for CY 2015 to 2019

POLLUTANT

CRITERIA Time

GEOMETRIC MEAN (µg/Ncm) NAAQGV

NAAQGV

1-Year Unit

2015 2016 2017 2018 2019

OZONE

1 Hour

Averaging 35 20 21 17 15 140

µg/Ncm

8 Hour

Averaging 32 19 24 18 15 60

µg/Ncm

CARBON

MONOXIDE

1 Hour

Averaging 0.2 0.35 0.218 0.047 0.005 30

ppm

8 Hour

Averaging 0.2 0.2 0.15 0.047 0.005 9

ppm

SULFUR

DIOXIDE

24 Hour

Averaging 2 3 8 13 12 180 80 µg/Ncm

NITROGEN

DIOXIDE

24 Hour

Averaging 15 14 14 8 27 150

µg/Ncm

PARTICULATE

MATTER 10

24 Hour

Averaging 42 17 20 23 22 150 60 µg/Ncm

PARTICULATE

MATTER 2.5

24 Hour

Averaging 27 2 33 14 15 50 25 µg/Ncm

In comparison from CY 2015 to CY 2019 monitoring data, the annual geometric mean values for Ozone, Nitrogen Dioxide, Carbon Monoxide,

Particulate Matter 10 showed decreasing trend while the Particulate Matter 2.5 and Nitrogen Dioxide showed an increase. However, the pollutant

concentrations for CY 2015 to CY 2019 are all within the NAAAQGV and met the yearly monitoring guideline value.


E.1.1.2 San Fernando City, La Union

San Fernando City, La Union

The Differential Optical

Absorption Spectroscopy (DOAS)

was installed at the vicinity of PNP

Camp Florendo Brgy. Parian, San

Fernando City, La Union. It is

approximately 250 meters away from

the national road. The equipment was

installed December 19, 2015.

Geographical Location

The City of San Fernando is

concurrently the capital of the

Province of La Union and the

administrative seat of Regional

Offices in Region 1. It is situated about

270 kilometers north-northwest of Manila. It stretches along a portion of the shoreline of Lingayen

Gulf and San Fernando Bay on the west. Along the town’s eastern boundaries lay the municipalities

of Bagulin and Naguilian. Towards the south is the municipality of Bauang, while in the north is the

municipality of San Juan. The City is in between 160 34’24.093” and 16

0 38’ 43.458” N latitude and

between 1200 16’ 41.638” and 120

0 25’ 42.305” E longitude. San Fernando City is 60 kilometers

away from Baguio City, 73 kilometers from Dagupan City and 217 kilometers from Laoag City.

Population and Land Area

The population of San Fernando City as of 2015 is 121,812. It has a total land area of 106.88 square

kilometers or about 7% of the total land area of La Union. The City consists of 59 barangays; 24

barangays are now considered urban while 35 are rural barangays. Urban area occupies an area of

1,927.7866 hectares while 8,037.9290 are occupied by the rural barangays.

Topography and Slope

A total of 5200 hectares or over 48.655 has a slope of 18% and below; 3,339 hectares or 27.50% have

slopes beyond 18%, while those with slope higher than 25% occupy 3,543 hectares or 29% of the

city’s land area. Generally the flat to slightly sloping areas are found within the coastal plains; those

above 18% to 25% beyond this and those with difficult terrain are found in the eastern interior of the

town near the boundary.

Methods of Sampling

Differential Optical Absorption Spectroscopy, or DOAS, is a widely used method to determine

concentrations of atmospheric species. DOAS in San Fernando City monitors nine (9) hazardous

criteria pollutants namely: Carbon Monoxide (CO), photochemical oxidants as Ozone (O3), Sulfur

Dioxide (SO2), Nitrogen Dioxide (NO2), Particulate Matter 10 and Particulate Matter 2.5, Benzene,

Toluene and Xylene. The process flow of amount determining pollutant concentration starts from the

Emitter which produces light rays then received by the Receiver, Opsis AR 500 System detects and

analyzes SO2, NO2, O3, and BTX while APMA-370 analyzes CO concentration and TEOM 1405-DF

analyzes PM10 and PM 2.5. After the equipment analyzes pollutant concentration the Analogue Web

logger Enviman automatically transfers results from the Data Acquisition System to the regional

office monitoring networks. Results are monitored in real time.



6. Ozone (O3)

1.1 Ozone, 1-Hour Average

There were 7865 data captured in CY 2019 and all data result met the NAAQGV of 140 µg/Ncm. Table 12 reflected annual average value of

28.44 µg/Ncm, minimum ranges from 1.22 µg/Ncm to 11.93 µg/Ncm and maximum ranges from 43.37 µg/Ncm to 133.88 µg/Ncm.


Data summary

table No of Data

Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm Date of Max

Min;

µg/Ncm Date of Min

98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 294 40% 46.16 133.88 20/01/2019 23:00 11.93 24/01/2019 2:00 113.20 128.61

February 672 100% 33.25 59.905 21/02/2019 12:00 10.84 28/02/2019 54.03 56.68

March 368 49% 31.90 50.612 25/03/2019 11:00 8.50 17/03/2019 5:00 48.09 48.69

April 717 100% 31.14 74.40 02/04/2019 18:00 7.76 13/04/2019 3:00 54.52 57.65

May 720 97% 26.62 84.09 03/05/2019 15:00 5.00 17/05/2019 4:00 49.88 51.80

June 720 100% 25.90 70.39 06/06/2019 19:00 4.67 02/06/2019 3:00 48.30 54.81

July 735 99% 23.24 44.53 2019-07-11 12:00 6.86 2019-07-12 00:00 40.55 41.64

August 743 100% 23.24 43.37 06/08/2019 11:00 8.40 27/08/2019 1:00 37.47 40.33

September 716 99% 24.75 73.27 28/09/2019 7:00 7.87 30/09/2019 1:00 51.05 53.89

October 743 100% 26.18 48.97 13/10/2019 14:00 7.51 31/10/2019 0:00 46.05 46.94

November 720 100% 22.90 49.35 15/11/2019 12:00 5.66 22/11/2019 4:00 44.07 44.98

December 717 96% 26.05 58.96 16/12/2019 21:00 1.22 16/12/2019 12:00 47.82 49.74

Annual 7865 90% 28.44 133.88 20/01/2019 23:00 1.22 16/12/2019 12:00 51.80 57.35


1.2 Ozone, Eight (8) Hour Average

There were 988 data captured in CY 2019 and nine (9) of the recorded values exceeded the NAAQGV of 60 µg/Ncm. Table 13, Ozones eight (8)

hourly annual average value is 28.57 µg/Ncm, with minimum value ranges from 9.74 µg/Ncm to 16.46 µg/Ncm and maximum value ranges from 37.63

µg/Ncm to 125.67 µg/Ncm. Recorded values showed 1 percent (9 out of 988) exceedances during the whole year of monitoring in CY 2019.


Data summary table No of Data Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm Date of Max

Min;

µg/Ncm Date of Min

98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 38 41% 48.20 125.67 19/01/2019 0:00 16.46 23/01/2019 103.32 125.67

February 84 100% 33.26 51.13 21/02/2019 8:00 14.14 28/02/2019 49.37 50.67

March 48 52% 32.14 47.72 23/03/2019 8:00 13.31 17/03/2019 45.57 47.72

April 90 100% 31.15 48.71 21/04/2019 8:00 11.07 13/04/2019 47.50 47.85

May 90 98% 26.59 47.41 27/05/2019 8:00 13.23 20/05/2019 43.77 45.00

June 90 100% 25.91 45.19 21/06/2019 8:00 10.49 02/06/2019 41.48 44.71

July 92 99% 23.21 39.76 04/07/2019 8:00 11.48 16/07/2019 35.31 37.48

August 93 100% 23.21 37.63 06/08/2019 8:00 9.95 27/08/2019 32.98 33.77

September 90 100% 24.24 53.53 22/09/2019 8:00 10.11 30/09/2019 43.62 51.58

October 93 100% 26.15 43.73 14/10/2019 8:00 10.13 31/10/2019 42.49 42.81

November 90 100% 22.90 43.48 15/11/2019 8:00 10.21 22/11/2019 39.75 41.49

December 90 97% 25.94 44.90 12/12/2019 8:00 9.74 06/12/2019 43.60 44.46

Annual 998 90% 28.57 125.67 19/01/2019 0:00 9.74 06/12/2019 47.95 51.69


2. Carbon Monoxide (CO)

2.1 Carbon Monoxide, 1-Hour Average

There were 1126 data captured in CY 2019 and recorded values are far below the NAAQGV of 30 ppm for 1-hour average. Table 14 presents

the carbon monoxide (CO) annual average value of 1.94 ppm, minimum ranges from 0.00 ppm to 1.88 ppm and maximum ranges of 5.26 ppm to 9.09

ppm. No data were recorded from the months of January to June due to on – going repair of the CO Analyzer and on the month of August due to the

module malfunction.

Table 14. Carbon Monoxide, 1-Hour Average

Data summary table No of Data Data

coverage

Average;

ppm

Max;

ppm Date of Max Min; ppm Date of Min

98%-ile;

ppm

99%-ile;

ppm

January

February

March

April

May

June 79 11% 0.87 5.50 22/06/2019 15:00 0.01 23/06/2019 4.87 5.06

July 457 61% 0.63 7.97 2019-07-04 21:00 0.00 2019-07-03 03:00 5.82 6.17

August

September 126 18% 5.64 9.09 25/09/2019 21:00 1.88 25/09/2019 8.51 8.94

October 299 40% 2.54 7.38 12/10/2019 7:00 0.00 08/10/2019 13:00 5.49 6.15

November 123 17% 1.11 8.71 21/11/2019 18:00 0.00 20/11/2019 5.32 7.24

December 42 6% 0.84 5.26 03/12/2019 10:00 0.00 01/12/2019 3.78 4.52

Annual 1126 13% 1.94 9.09 25/09/2019 21:00 0.00 2019-07-03 03:00 7.60 8.05


2.2 Carbon Monoxide, Eight (8) Hour Average

The recorded values are far below the NAAQGV of 9 ppm for eight (8) -hour averages Table 15 reflected Carbon Monoxide (CO) eight (8)

hourly annual average of 1.41 ppm, minimum ranges from 0.00 ppm to 1.07 ppm and maximum ranges from 0.34 ppm to 5.23 ppm. All results are

below the NAAQGV of 9 ppm. No data were recorded from the months of January to June and August due to the damaged filter holder and input

module malfunction.

Table 15. Carbon Monoxide, 8-Hour Average Annual Data

Data summary table No of Data Data coverage Average;

ppm Max; ppm Date of Max Min; ppm Date of Min

98%-ile;

ppm

99%-ile;

ppm

January

February

March

April

May

June 26 29% 0.33 1.66 22/06/2019 0.00 29/06/2019 1.64 1.66

July 58 62% 0.62 3.84 05/07/2019 0.00 17/07/2019 3.16 3.16

August

September 17 19% 5.23 7.77 25/09/2019 1.07 28/09/2019 7.58 7.67

October 38 41% 2.50 4.57 01/10/2019 0.93 04/10/2019 4.36 4.46

November 35 39% 0.49 2.75 21/11/2019 0.00 23/11/2019 2.40 2.57

December 13 14% 0.34 1.40 03/12/2019 0.00 01/12/2019 1.27 1.33

Annual 187 17% 1.583 7.77 25/09/2019 0.00 17/07/2019 6.70 7.05


3. Sulfur Dioxide, 24 - Hour Average

Table 16 reflected Sulfur Dioxide (SO2) annual average of 2.87 µg/Ncm, minimum ranges from 0.07 µg/Ncm to 2.68 µg/Ncm and maximum ranges

from 3.56 µg/Ncm to 13.11 µg/Ncm. The recorded values are far below the NAAQGV of 180 µg/Ncm for 24-hour average.

Table 16. Sulphur Dioxide, 14 - Hour Average Annual Data

Data summary

table

No of

Data

Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm Date of Max

Min;

µg/Ncm Date of Min

98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 13 42% 2.47 11.14 22/01/2019 1.27 29/01/2019 11.141 11.14

February 28 100% 1.71 3.56 14/02/2019 1.17 01/02/2019 2.992 3.56

March 16 52% 2.69 3.89 14/03/2019 1.79 23/03/2019 3.560 3.56

April 30 100% 3.99 8.57 12/04/2019 2.20 06/04/2019 6.21 8.57

May 31 100% 3.92 6.87 23/05/2019 2.68 06/05/2019 5.85 6.87

June 30 100% 4.64 8.50 22/06/2019 1.70 29/06/2019 7.86 8.50

July 31 100% 2.20 6.67 05/07/2019 0.07 20/07/2019 6.02 6.67

August 31 100% 3.26 13.11 20/08/2019 1.13 07/08/2019 8.56 10.83

September 30 100% 2.59 4.54 26/09/2019 1.03 12/09/2019 4.48 4.51

October 31 100% 2.44 6.60 01/10/2019 1.49 18/10/2019 5.69 6.15

November 30 100% 2.17 3.57 27/11/2019 1.57 20/11/2019 3.32 3.45

December 31 100% 2.34 13.90 07/12/2019 0.49 18/12/2019 8.56 11.23

Annual 332 91% 2.87 13.11 20/08/2019 0.07 20/07/2019 0.07 0.07


4. Nitrogen Dioxide (NO2), 24 - Hour Average

Table 17 reflected Nitrogen Dioxide annual average of 17.37 µg/Ncm, minimum ranges from 2.48 µg/Ncm to 21.71 µg/Ncm and maximum ranges from

15.34 µg/Ncm to 38.96 µg/Ncm. The recorded values are far below the NAAQGV of 150 µg/Ncm for 24-hour average.

Table 17. Nitrogen Dioxide, 24 - Hour Average Annual Data

Data summary

table No of Data

Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm Date of Max

Min;

µg/Ncm Date of Min

98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 13 42% 28.64 38.67 31/01/2019 21.71 21/01/2019 38.671 38.67

February 28 100% 26.78 37.33 21/02/2019 13.83 25/02/2019 35.150 37.33

March 16 52% 23.94 32.17 08/03/2019 15.53 31/03/2019 32.170 32.17

April 30 100.00% 19.97 34.24 12/04/2019 11.98 04/04/2019 28.94 34.24

May 31 100.00% 20.82 38.96 15/05/2019 13.50 22/05/2019 29.44 38.96

June 30 100.00% 15.38 25.36 03/06/2019 8.88 09/06/2019 22.05 25.36

July 31 100.00% 7.82 18.71 10/07/2019 2.49 19/07/2019 12.03 18.71

August 31 100.00% 7.69 15.34 27/08/2019 3.00 13/08/2019 13.84 14.59

September 30 100.00% 9.26 19.30 11/09/2019 2.48 29/09/2019 16.49 17.89

October 31 100.00% 15.54 23.68 26/10/2019 6.48 01/10/2019 23.55 23.61

November 30 100.00% 15.29 25.42 14/11/2019 4.97 19/11/2019 24.39 24.90

December 31 100.00% 17.36 27.62 12/12/2019 8.93 18/12/2019 25.89 26.76

Annual 332 91% 17.37 38.96 15/05/2019 2.48 29/09/2019 2.48 2.48


5. Particulate Matter

5.1 Particulate Matter 10 (PM10), 24 - Hour Average

Table 18 reflected annual average PM10 value of 2.96 µg/Ncm, minimum ranges from 0.00 µg/Ncm to 0.09 µg/Ncm and maximum ranges from 0.97

µg/Ncm to 60.30 µg/Ncm. The recorded values are far below the NAAQGV of 150 µg/Ncm for 24-hour average.

Table 18. PM10, 24-Hour Average Annual Data

Data summary

table No of Data

Data

coverage

Average;

µg/Ncm

Max;

µg/Ncm Date of Max

Min;

µg/Ncm Date of Min

98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 27 87% 7.69 51.49 23/01/2019 0.007 10/01/2019 37.079 51.49

February 27 96% 1.46 18.225 26/02/2019 0.025 22/02/2019 0.177 0.241

March 28 90% 7.59 60.30 23/01/2019 0.001 10/01/2019 33.757 36.07

April 23 77% 0.242 1.24 09/04/2019 0.009 23/04/2019 1.238 1.238

May 28 93% 2.32 22.55 22/05/2019 0.00 10/05/2019 10.21 22.55

June 28 93% 4.55 16.92 14/06/2019 0.02 25/06/2019 15.32 16.92

July 31 100% 2.41 44.35 03/07/2019 0.01 01/07/2019 7.66 44.35

August 31 100% 1.52 6.05 28/08/2019 0.09 12/08/2019 5.98 6.02

September 27 90% 1.27 10.84 15/09/2019 0.00 11/09/2019 8.06 9.45

October 31 100% 3.81 34.45 24/10/2019 0.02 12/10/2019 30.03 32.24

November 30 100% 2.39 21.02 09/11/2019 0.01 12/11/2019 16.03 18.53

December 31 100% 0.28 0.97 10/12/2019 0.00 07/12/2019 0.88 0.93

Annual 342 94% 2.96 60.30 23/01/2019 0.00 11/09/2019 0.00 0.00


5.2 Particulate Matter 2.5 (PM2.5), 24 - Hour Average

There were 315 data captured in CY 2019 and data result met the NAAQGV of 50 µg/Ncm. Table 19 reflected annual average value of 0.81

µg/Ncm, minimum ranges from 0.00 µg/Ncm to 0.02 µg/Ncm and maximum ranges from 0.42 µg/Ncm to 42.62 µg/Ncm.

Table 19. PM2.5, 24 - Hours Average Annual Data

Data summary

table No of Data Data coverage

Average;

µg/Ncm

Max;

µg/Ncm Date of Max

Min;

µg/Ncm Date of Min

98%-ile;

µg/Ncm

99%-ile;

µg/Ncm

January 23 74% 0.175 1.08 30/01/2019 0.007 06/01/2019 1.08 1.08

February 26 93% 0.089 0.42 28/02/2019 0.002 03/02/2019 0.06 0.11

March 24 77% 0.394 1.684 30/01/2019 0.001 06/01/2019 1.68 1.68

April 19 63% 0.208 1.03 09/04/2019 0.002 03/04/2019 1.03 1.03

May 22 73% 2.26 22.55 22/05/2019 0.00 28/05/2019 22.55 22.55

June 25 83% 0.82 9.98 05/06/2019 0.00 08/06/2019 9.98 9.98

July 31 100% 2.25 42.62 03/07/2019 0.01 01/07/2019 7.60 42.62

August 29 94% 1.43 6.02 28/08/2019 0.00 20/08/2019 5.95 5.99

September 24 80% 1.20 10.80 15/09/2019 0.00 11/09/2019 8.33 9.56

October 31 100% 0.47 1.82 04/10/2019 0.02 12/10/2019 1.57 1.70

November 30 100% 0.29 0.98 30/11/2019 0.00 12/11/2019 0.75 0.87

December 31 100% 0.18 0.91 10/12/2019 0.00 05/12/2019 0.74 0.82

Annual 315 86% 0.81 42.62 03/07/2019 0.00 20/08/2019 0.00 0.00


6. Annual Number and Percentage of Samples exceeding the National Ambient Air Quality Guideline Value

6.1 Carbon Monoxide

The one hour and eight hour monthly average data recorded met the guideline values of 30 ppm and 9 ppm respectively.

6.2 Ozone

The annual hourly average of Ozone recorded data all met the National Ambient Air Quality Guideline Value (NAAQGV) of 140 µg/Ncm.

Moreover, the ozone 8-hourly average reflected that 9 exceedances were noted in the month of January, while the rest met the guideline value

NAAQGV of 60 µg/Ncm.

Table 20. Number and Percentage of Samples exceeding the National Ambient Air Quality Guideline Value

Month Carbon Monoxide (ppm)

Phtochemical Oxidants as Ozone

(µg/Ncm)

Sulfur Dioxide

(µg/Ncm)

Nitrogen

Dioxide

(µg/Ncm)

Particulate

Matter 10

(µg/Ncm)

Particulate

Matter 2.5

(µg/Ncm)

1-Hour 8-Hour 1-Hour 8-Hour 24-Hour 24-Hour 24-Hour 24Hour

Exceedance % Exceedance % Exceedance % Exceedance % Exceedance % Exceedance % Exceedance % Exceedance %

January 0 0 0 9 24% 0 0 0

0

February 0 0 0 0 0 0 0

0

March 0 0 0 0 0 0 0

0

April 0 0 0 0 0 0 0 0

May 0 0 0 0 0 0 0 0

June 0 0 0 0 0 0 0 0

July 0 0 0 0 0 0 0

0

August 0 0 0 0 0 0 0

0

September 0 0 0 0 0 0 0

0

October 0 0 0 0 0 0 0

0

November 0 0 0 0 0 0 0

0

December 0 0 0 0 0 0 0

0

NAAQGV 30 9 140 60 180 150 150 50


6.3 Sulfur Dioxide and Nitrogen Dioxide, 24 Hours Average

Both sulfur dioxide and nitrogen dioxide values reflected lower than the 24- hour

average National Ambient Air Quality Guideline Value (NAAQGV) of 180 µg/Ncm and 150

µg/Ncm respectively.

6.4 Particulate Matter

6.4.1 Particulate Matter (PM10)

The annual monthly generated data met the National Ambient Air Quality Guideline

Value (NAAQGV) OF 150 µg/Ncm.

6.4.2 Particulate Matter (PM2.5)

The annual monthly recorded data met the National Ambient Air Quality Guideline

Value (NAAQGV) OF 150 µg/Ncm.

REGIONAL STATE OF BROWN

ENVIRONMENT 2019 27

7. Annual Geometric Mean Data for CY 2016, CY 2017, CY 2018 and CY 2019

Table 21. Geometric Mean for CY 2016, 2017,2018 and 2019

In comparison from CY 2016 to CY 2019 monitoring data, the annual geometric mean values for Ozone, Carbon Dioxide, Particulate Matter 10 and

Particulate Matter 2.5 showed decreasing trend while Sulfur Dioxide and Nitrogen Dioxide showed slight increase. However, the pollutant concentrations for,

CY 2016, CY 2017, CY 2018 and CY 2019 are all within the NAAAQGV and met the long term guideline values.

POLLUTANT

CRITERIA Time

GEOMETRIC MEAN Short Term

NAAQGV

Long Term

NAAQGV Unit

2016 2017 2018 2019

OZONE

1 Hour

Averaging 49 41 38 27.86 140

µg/Ncm

8 Hour

Averaging 45 35 39 27.92 60

µg/Ncm

CARBON

MONOXIDE

1 Hour

Averaging 2.5 0.32 0.35 1.39 30

ppm

8 Hour

Averaging 2.8 0.22 0.57 0.88 9

ppm

SULFUR

DIOXIDE

24 Hour

Averaging 2.5 2 3.01 2.75 180 80 µg/Ncm

NITROGEN

DIOXIDE

24 Hour

Averaging 10 16 13.27 15.94 150

µg/Ncm

PARTICULATE

MATTER 10

24 Hour

Averaging 28 12 3.04 1.93 150 60 µg/Ncm

PARTICULATE

MATTER 2.5

24 Hour

Averaging 12 8 1.85 0.49 50 25 µg/Ncm


ENVIRONMENT 2019 28

E.1.2 Particulate Matter System

E.1.2.1 Batac City, Ilocos Norte

The continuous ambient air monitoring

network is located inside the compound of

Mariano Marcos State University, Brgy. Quiling

Sur, City of Batac, Ilocos Norte. The area is

unpaved open school ground area with vegetation

(grass/weed). The equipment was installed in April

2014.


Batac City is located in the mid southwestern portion of the province of Ilocos Norte. It lies

approximately within altitude 18º3’21.20” north and longitude 120º33’54.15” east. Its boundaries

include the Municipality of San Nicolas on the north; Municipality of Sarrat on the northeast;

Municipality of Marcos on the east-northeast; Municipality of Banna on the east; Municipality of

Pinili on the southeast;

Municipality of Currimao on the

southwest; and the Municipality

of Paoay on the west. It is about

472 kilometers north of Metro

Manila, about 18 km. south of

Laoag City, the capital of the

province; 275 km. north of San

Fernando City, the regional

center of Ilocos Region and 11.2

km east of the eastern shore of

South China Sea.

Travel time by motor

vehicle at this time is very

convenient because of well

paved roads and is 15 – 20

minutes to Laoag City and 8 – 9

hours to Metro Manila.

Batac City has a total

land area of 16, 101 hectares.

The terrain of the municipality

ranges from flat to rolling and hilly and to very steep. The broad valleys are mostly located in the

poblacion with a slope of 0-8%. All the rural barangays except those in the eastern part have a slope

of 0 -30%. There are various soil types that are poorly drained due to the heavy texture of most of the

subsoil. There are two rivers that cut across Batac, the Quiaoit River (Pagdanuman) and the Garasgas

River. Batac City lies within the tropical rain forest climate zone and experiences two distinct seasons.

Methods of Sampling

Beta Attenuation Monitor analyzes PM10 and PM2.5. When equipment analyzes pollutant

concentration the Analogue Weblogger Enviman automatically transfers results from the Data

Acquisition System to the central office and regional office monitoring network. Results are

monitored in real time.


ENVIRONMENT 2019 29


1. Particulate Matter (PM10)

Table 22 presents the annual monitoring data CY 2019 for PM 10. As gleaned from Table 22, PM10 recorded annual average of

21.108 µg/Ncm, minimum ranges from 1.610 µg/Ncm to 19.454 µg/Ncm and maximum ranges from 25.910 µg/Ncm to 58.070 µg/Ncm.

There were 271 out of 365 (81.07%) data captured in CY 2019 and recorded values are below the NAAQGV of 150 µg/ Ncm.

Table 22. PM 10 Annual Monitoring Data, CY 2019

Data summary table NoOfDataOK Data coverage Average Maximum Date of Maximum Minimum Date of Minimum 98%-ile 99%-ile

January 17 54.84% 27.984 47.656 1/6/2019 10.137 1/29/2019 47.660 47.660

February 23 82.14% 22.130 40.571 2/12/2019 12.206 2/5/2019 40.570 40.570

March 7 22.58% 26.838 43.632 3/20/2019 19.454 3/19/2019 43.630 43.630

April 30 100.00% 27.139 41.000 4/9/2019 16.357 4/2/2019 38.400 41.000

May 31 100.00% 20.055 34.479 5/15/2019 11.140 5/8/2019 28.770 34.480

June 30 100.00% 16.897 28.076 6/3/2019 6.147 6/15/2019 25.000 28.080

July 31 100.00% 15.992 47.61 7/28/2019 5.570 7/17/2019 32.652 40.131

August 24 77.42% 18.990 58.07 8/13/2019 1.610 8/24/2019 44.647 51.359

September NO DATA

October 17 54.84% 21.680 29.000 10/15/2019 16.88 10/16/2019 27.349 28.174

November 30 100.00% 15.580 25.910 11/23/2019 5.370 11/20/2019 25.643 25.777

December 31 100.00% 18.9 27.83 12/11/2019 5.560 12/3/2019 27.230 27.540

Total 271 81.07% 21.108 58.070 8/13/2019 1.610 8/24/2019 40.789 44.825


2. Particulate Matter 2.5 (PM2.5)

No data was captured due to non-operation of the main board of PM2.5 Analyzer due to corrosion as reported by Electrobyte Environmental Concern

Corporation. Replacement of main board of PM 2.5 Analyzer is recommended. Request letter dated June 4, 2019 was forwarded to EMB Central office for

the replacement of the damaged PM 2.5 FH62C14 Analyzer for the continuous operation of the ambient air monitoring of the station since the region have no

approved fund for Capital Outlay.

3. Comparison of Particulate Matter Annual Geometric Mean Data for CY 2015 to CY 2019

Table 23 presents the summary of annual geometric mean for PM10 and PM2.5 monitoring for CY 2015 to CY 2019. As shown from the table, the

annual geometric mean for PM 10 and PM 2.5 consistently met the NAAQGV of 60 µg/ Ncm and 25 µg/ Ncm for PM 10 and PM 2.5 respectively.

Table 23. Annual Geometric Mean Data, CY 2015 and CY 2019

POLLUTANT

CRITERIA

GEOMETRIC MEAN (ug/Ncm) NAAQGV

1 year

REMAR

KS 2015 2016 2017 2018 2019

PARTICULATE

MATTER 10

24 Hour

Average 23 23 24 22 19 60

Within

Criteria

PARTICULATE

MATTER 2.5

24 Hour

Average 16 16 21 16 *No Data

35 (CY 2015)

25 (CY 2016 to

present

Within

Criteria

*Equipment breakdown


E.1.3 Manual Ambient Air Quality Monitoring

E.1.3.1 Particulate Matter 10 (PM 10)

The Environmental Management Bureau

(EMB) Region 1 had undertaken ambient air

quality monitoring in Vigan City, Province of

Ilocos Sur in accordance with Republic Act 8749

otherwise known as “The Philippine Clean Air Act

of 1999”. The ambient air quality monitoring in

Vigan City is a continuing activity of EMB to

assess part of the quality of air covering the entire

country.

The said activity is in compliance under Part

V, Rule XIV, Section 1 of the Implementing Rules

and Regulations of R.A. 8749 entitled “Air Quality

Management System”. The air quality assessment

in a certain area in relation to the National Ambient Air Quality Guidelines established by DENR is to

protect public health and welfare and reduce damage to property as well as provide an air quality

management control strategy from mobile, area and stationary sources. The assessment report will also

be needed in establishing an Air Quality Database that will be stored in a manner accessible to the public.

E.1.3.1a Vigan City

The Ambient Air Quality Monitoring Station is located at Plaza Encarnacion infront of Vigan City Hall.

The monitoring station is 6 meters away from the road and considered to be very busy because the road is

the main route of public utility vehicles, cars, trucks, buses, and motorcycles/tricycles passing and plying

in and out of the City.


Vigan, the capital city of Ilocos Sur is situated along the western coast of Northern Luzon. It is bounded

on the north by the municipality of Bantay; on the east by the municipality of Santa; on the south by the

municipality of Caoayan; on the west by the municipality of Sta. Catalina and lastly, on the southwest by

the China Sea. It is 408 kilometers from Manila; 80 km. from Laoag City and 139 km. from San

Fernando, La Union.

It has a total land area of 2,886.085 hectares or 28.86085 sq. km. The heart of Vigan City is located

approximately between the meridian 120o 23’15” east longitude and the parallel 17o 34’30” north

latitude.

Vigan City has 39 barangays, the poblacion barangays consist of nine barangays, with a total land area of

192.45 hectares or 1.9245 sq. km. and the adjoining 30 barangays make 2,693.635 hectares or 26.93635

sq. km.



The whole City of Vigan is classified as urban based on the 1970 and 2000 population census and is

considered as a large city as classified by the Provincial Planning and Development Office. However, for

purposes of this plan, the nine (9) Poblacion barangays where the central business district of the city is

located are considered to be the urban barangays of Vigan. While the remaining 30 barangays are

referred to as the rural barangays.

Barangay IV, one of the poblacion barangays has the largest household population of 633 or 5.41% of the

total household population. While Brgy. Barraca holds the lowest with 78 or 0.67% of the 11,075

households in Vigan. The proximity and accessibility of Barangay IV (Solid West) to the central business

district, institutions, government agencies and other facilities plays an important factor in the large

number of people who decided to hold residency on the said barangay.

Topography and Slope

The land area of Vigan is generally flat with slopes of 20° which are found at Brgy.V, Tamag, and Paoa.

Out of the 2,886 hectares of the land area, 36.60% is residential and 45.18% is agricultural.

The drainage network of the eastern margin of Vigan-Bantay plain consist of deeply cut valleys whose

pattern is strongly controlled by main faulting trends, particularly those in the northerly and easterly

directions.

Vigan is being drained by the Vigan River and Bantay River, respectively, on the north and on the south

by Mestizo River whose water discharge comes from Bantaoay head water.

The relief of Vigan-Bantay plain is actively level to undulating with a slope ranging from 0° to 8°. Vigan

in particular is generally leveled with several hills in Brgy. Tamag, Bulala and Salindeg, sometimes

reaching about 50 meters in elevation and has a slope ranging from 3° to 8°.

The eastern margin of the plain characterized by a steep to a very steep slope, about 40° to 60°, the relief

often reaches an elevation of more than 600 meters especially in the northerly and easterly portion.

The dominant topographic feature in the eastern margin of the city is the Vigan Gap Hill where the

continuous shifting Vigan River cuts its way. The Gap Hill is located approximately 10 kilometers east of

Vigan.

Climate and Rainfall

Vigan falls under the first climate type in the Philippines which is characterized by two pronounced

season. The dry season normally commences from November to April reaching its peak during the torrid

months of April and May. The wet months are from June to October, with the month of August as the

rainiest period. The average annual rainfall is 190.683 mm. and the heaviest registered rainfall is 693.3

mm.

The average temperature is 26 °C. The average warmest temperature is 30.9 °C and the average

coldest temperature is 21.1 °C. An average of 7-10 typhoons visits Vigan annually. The average relative

humidity is 81%.


Methodology of Sampling

The basic concept of ambient air monitoring is the measurement of a representative ambient air sample

taken from the monitoring station. The ambient air measurements are indicative of only a small portion

of the atmosphere and cannot be assumed to be representative of the total atmosphere. With these

concepts, sampling site selection should be included in the study of an air monitoring network to

determine the number of sampling stations.

Height is a considerable factor to be included in order to get a representative value or results of required

parameters such as the Particulate Matter (PM10). In this case therefore, it is assumed that one (1)

kilometer radius is considered to be an effective area for an ambient air monitoring station.

The computed PM10 concentration is expressed in micrograms per normal cubic meter (µg/Ncm), which

is further described into various levels of Air Quality Indices as follows:

POLLUTION INDEX RANGE (µg/Ncm)

Good 0 – 54

Fair 55 – 154

Unhealthy for Sensitive Groups 155 – 254

Very Unhealthy 255 – 354

Acutely Unhealthy 355 – 424

Emergency 425 – 504

The conduct of ambient air quality monitoring is limited only in the determination of Particulate

Matter (PM10) using a manual PM10 Air Sampler conducted on a 24 – hour, weekly for a year. The

analysis of the filters is Gravimetric Method.


Sampling Results and Interpretation

The overall PM10 monitoring recorded minimum value ranges from 21 .tg/Ncm to 42 .tg/Ncm,

maximum value ranges from 132 .tg/Ncm to 171 .tg/Ncm with an annual average of 93 .tg/Ncm and

annual geometric mean of 87 .tg/Ncm. The highest concentration recorded in the month of April is 171

.tg/Ncm reflected an Air Quality Index of Unhealthy for Sensitive Groups due to the heavy traffic

congestion within the monitoring station, influx of tourist arrival in the city for the opening of the

“Binatbatan Festival” and installation of cobblestones within the central business district. Figure 1

represents the time series plot for PM10 of Vigan City, Ilocos Sur. Attached is the Annex H - Percent

Distribution (%) of Air Quality Monitoring Results (PM10). The results of quarterly monitoring are

tabulated below.

Quarter Min. Max. Average

DENR Criteria 24

hrs sampling Remarks

1st 42 137 98 150 within criteria

2nd 21 171 88 150 within criteria

3rd 40 132 90 150 within criteria

4th 24 137 97 150 within criteria

Annual Average 93 .tg/Ncm

Annual Geomean 87 .tg/Ncm 60 above criteria

The annual average of 93 .tg/Ncm and geometric mean of 87 .tg/Ncm met the NAAQVG of 150

.tg/Ncm. However, the annual geometric PM10 value of 87 .tg/Ncm did not met the annual Ambient Air

Quality Criteria of 60 .tg/Ncm for one-year monitoring reflecting a FAIR Air Quality Index.


E.1.3.2 Particulate Matter 2.5 (PM2.5)

The Environmental Management Bureau (EMB) Region 1 had undertaken ambient air quality monitoring

in San Carlos City, Province of Pangasinan in accordance with Republic Act 8749 otherwise known as

“The Philippine Clean Air Act of 1999”. The ambient air quality monitoring in San Carlos City is a

continuing activity of EMB to assess part of the quality of air covering the entire country.

The said activity is in compliance under Part V, Rule XIV, Section 1 of the Implementing Rules and

Regulations of R.A. 8749 entitled “Air Quality Management System”. The air quality assessment in a

certain area in relation to the National Ambient Air Quality Guidelines established by DENR is to protect

public health and welfare and reduce damage to property as well as provide an air quality management

control strategy from mobile and stationary sources. The assessment report will also be needed in

establishing an Air Quality Database that will be stored in a manner accessible to the public.

Monitoring Station Location and Description

The Ambient Air Quality Monitoring Station is located within the City Plaza. The monitoring station is

approximately 13 meters away from the road and considered to be very busy because the road is one of

the main routes of public utility vehicles, cars, trucks, buses, and motorcycles/tricycles passing and

plying and traversing in and out of the City of San Carlos Province of Pangasinan.


At the central part of Pangasinan lies the City of San Carlos. It falls within the latitudes 15 degrees 15

minutes to 15 degree 59 minutes and Longitude of 120 degree 15 minutes to 120 degrees 24 minutes. The

city is bounded on the east by the municipalities of Sta. Barbara and Malasiqui, on the south by the

municipalities of Basista and Urbiztondo, on the west by the municipalities of Aguilar and Bugallon and

on the north by municipalities of Calasiao, Binmaley and small portion of Lingayen.


Based from the first census ever conducted in the country by the National Census and Statistics Office

(NCSO) now the National Statistics Office (NSO) in 2012, San Carlos City had then only 174,143

population. This increased to 176,341 in 2013; further to 178,554 in 2014; 180,811 in 2015; 187,087 in

2016; 185,388 in 2017; 187,721 in 2018; 190,096 in 2019. With the population trend being consistently

realized, San Carlos City will have a projected population of 199,815 at the end of 2023.

In 2007 it was reported that the total land area of 170,087 but thru re-tax mapping, properties were

identified and therefore there was an increase in land area. However, it is experiencing a shift in land use,

with agricultural use decreasing from 80% of the total land area in 1977 to only 75% in 1988. The

decrease of 2,234 hectares of agricultural land is due to the 2006 land use plan which appropriates more

space to the residential, commercial and industrial sectors.16,608.746 hectares.

Topography

The City of San Carlos is predominantly plain area.



The hereunder type of climate classification under PAGASA defines the climate of San Carlos City as

dry type D This type contains 6 dry months utmost with equal number of wet months. Usually, the dry

season occurs during the months of November to April and the wet during the rest of the year.

The total annual rainfall in San Carlos City is 2.4 meters, with a monthly average of 201 mm. Maximum

rainfall is observed during the month of August with a rainfall mean of 8 and 13 mm. respectively. The

mean annual number of rainy days is 175.

The mean annual air temperature in the City is 27.37 degrees centigrade. April and May were observed to

be the hottest months with temperatures of 28.86 degrees centigrade and 25.86 degrees centigrade,

respectively, while the coldest month is January having a temperature of 25.86 degrees centigrade.


The basic concept of ambient air monitoring is the measurement of a representative ambient air

sample taken from the monitoring station. The ambient air measurements are indicative of only a small

portion of the atmosphere and cannot be assumed to be representative of the total atmosphere. With these



Height is a considerable factor to be included in order to get a representative value or results of

required parameters such as the Particulate Matter (PM2.5). In this case therefore, it is assumed that one

(1) kilometer radius is considered to be an effective area for an ambient air monitoring station.

The computed PM2.5 concentration is expressed in micrograms per normal cubic meter (µg/Ncm).

As per DAO 2013 – 13 setting the National Ambient Air Quality Guideline Value (NAAQGV) for PM2.5

at 50 µg/Ncm and 25 µg/Ncm respectively effective January 1, 2016.

The conduct of ambient air quality monitoring is limited only in the determination of Paticulate

Matter (PM2.5) using manual PM2.5 Air Sampler conducted on a 24 – hour, weekly for a year. The

analysis of the filter is Gravimetric Method.

Sampling Results and Interpretation

A total of fifty - nine (59) samplings were conducted for the year and 17 percent (10 out of 59) of

the monitoring data were compliant with the NAAQGV of 50 µg/Ncm. The lowest and highest PM2.5

concentration was recorded on the months of March and November respectively. The annual geometric

mean, with the value of 67 µg/Ncm, did not meet the long term National Ambient Air Quality Guideline

Value of 25 µg/Ncm. The high concentrations were attributed primarily by the following sources of

emissions:

Different motor vehicles plying in and out of the city and

Different motor vehicles parking area near the monitoring station

Construction activities near the monitoring station


Table 24. Annual Ambient Air Quality Data

Min Max Ave Number Percentage

Dec 31 - Jan 1 Partly cloudy to cloudy 64

Jan 8 - 9 Sunny 66

Jan 14 - 15 Sunny/Windy 60


Feb 5 - 6 Sunny/Windy 102




Mar 1-2 Sunny/Windy 182

Mar 7-8 Sunny 97

Mar 13-14 Sunny to partly cloudy 97

Mar 19-20 Partly cloudy to cloudy 59


Mar 31-Apr 1 Sunny 163

Apr 6-7 Clear/Sunny Skies 102

Apr 12-13 Cloudy 85


May 1-2 Sunny/Cloudy 107

May 7-8 Cloudy/Rainy 89

May 13-14 Partly cloudy 139


May 25-26 Sunny 80

May 31-June 1 Partly Cloudy to at Times Cloudy 40

June 6-7 Sunny 80

June 12-13 Cloudy 65



Jun 30-Jul 1 Cloudy 93

July 6-7 Partly cloudy 84


July 18-19 Rainy 55

July 24-25 Partly Cloudy to at Times Cloudy 19

July 30-31 Rainy 89

Aug 5-6 Cloudy 88

Aug 11-12 Cloudy 129

Aug 17-18 Partly Cloudy 60

Aug 24-25 Overcast/Rainy 62


Sept 4-5 Cloudy 37

Sept 10-11 Sunny to partly cloudy 48

Sept 16-17 Overcast/Rainy 93

Sept 22-23 Sunny to Partly Cloudy 124

Sept 28-29 Partly Cloudy 57

Oct 4-5 Partly Cloudy 58

Oct 10-11 Sunny 98

Oct 16-17 Sunny 109

Oct 22-23 Sunny to Partly Cloudy 64

Oct 28-29 Sunny 113

Nov 3-4 Overcast/Rainy 35

Nov 9-10 Cloudy 67

Nov 15-16 Partly Cloudy 2


Nov 27-28 Clear/Sunny Skies 90

Dec 3-4 Cloudy 3

Dec 9-10 Sunny 115

Dec 15-16 Sunny 49

Dec 21-22 Sunny 57

Dec 27-28 Clear/Sunny Skies 30

Dec 31 - Jan 1 Sunny 53*

80

68

159

*Special case under memorandum re: Instruction to submit air quality index (AQI) and concentration data from the continuous Ambient Air Quality Monitoring

Station (CAAQMS) in the celebration of New Year 2020 dated December 20, 2019

49Geometric Mean

Date of Sampling Weather ConditionPM2.5 Concentration

(µg/Ncm)

Range Sample Above NAAQGV

83%

60 81 68 4 100%

57 131 94

National Ambient Air Quality Guideline Value for PM 2.5 24 Hours - 50 µ g/Ncm

Annual Average2 182 81

98%-ile

4 100%

59 182 106 5 100%

85 163 115 4 100%

80 139 100 5 100%

40 119 76 4 80%

19 119 77 5 83%

27 129 73 4 80%

37 124 72 3 60%

58 113 89 5 100%

2 90 54 3 60%

3 115 51 3 50%


Table 25 shows PM2.5 minimum concentration was recorded on the 4th Quarter with value of 2

µg/Ncm and maximum value of 182 µg/Ncm on the 1st Quarter, with annual average and geomean values

of 80 µg/Ncm and 67 µg/Ncm respectively. The annual geometric mean did not meet the long term

(annual) National Ambient Air Quality Guideline Value of 25 µg/Ncm.

Table 25. PM2.5 Ambient Air Quality Monitoring Data CY 2019

Table 26. Summary of Data Comparison for Geometric Mean, CY 2018 to CY 2019

Quarter Minimum Maximum Average

1st Quarter 57 182 91

2nd Quarter 40 163 95

3rd Quarter 19 129 74

4th Quarter 2 115 64

Annual Average

Annual Geomean

98%-ile

80

67

159

C.Y. Min Max Average Geomean Remarks

2018 7 166 59 49 Non Compliant


Long Term NAAQGV

µg/Ncm50 25


E.1.3.2b Dagupan City

The Environmental Management Bureau

(EMB) Region 1 had undertaken ambient air

quality monitoring in Dagupan City, Province of

Pangasinan in accordance with Republic Act

8749 otherwise known as “The Philippine Clean

Air Act of 1999”. The ambient air quality

monitoring in Dagupan City is a continuing

activity of EMB to assess part of the quality of

air covering the entire country.

The said activity is in compliance under Part V,

Rule XIV, Section 1 of the Implementing Rules

and Regulations of R.A. 8749 entitled “Air

Quality Management System”. The air quality assessment in a certain area in relation to the National

Ambient Air Quality Guidelines established by DENR is to protect public health and welfare and reduce

damage to property as well as provide an air quality management control strategy from mobile and

stationary sources. The assessment report will also be needed in establishing an Air Quality Database that

will be stored in a manner accessible to the public.

Monitoring Station Location and Description

The Ambient Air Quality Monitoring Station is located within the compound of the CSI Mall, De

Venecia Road, Lucao District, Dagupan City, Pangasinan. The monitoring station is approximately 200

meters away from the diversion road and considered to be very busy because the road is one of the main

routes of public utility vehicles, cars, trucks, buses, and motorcycles/tricycles passing and plying and

traversing in and out of the City of Dagupan Province of Pangasinan.


Dagupan City covers a total land area of 40,079,278.93 square meters or about 4,008 hectares (as per

City Assessor’s Record). However, the digitized cadastral maps reveal that the sum of the lands within

Dagupan’s boundaries is 4,447.10 hectares. It is bounded by the Lingayen Gulf in the north, San Fabian

in the northeast, Mangaldan in the east, Calasiao in the south and Binmaley in the west. The city falls

with latitude 160 01’ to 16

0 07’ north and longitude 120

0 18’ to 120

0 23’ east.


According to the census of 2015, Dagupan City has a population of 171,271 people with an income

classification of second class. Among all the cities and municipalities in Region I,

Dagupan City registered the highest population density with around 3,501 persons per sq. km.

Pangasinense/Panggalato is the predominant local dialect, spoken by 85.2 percent of its household

population in 2000. About 86.4 percent of the Dagupenos are Roman Catholics. As of 2002, 96.0 percent

of the households in the city were served with potable water while 95.6 percent had power/electric

supply.

Topography

http://en.wikipedia.org/wiki/Cities_of_the_Philippines#Income_classification

http://en.wikipedia.org/wiki/Cities_of_the_Philippines#Income_classification


Dagupan City stretches along the southern portion of the shoreline of the Lingayen Gulf, a coastal plain

having an almost flat terrain with slopes ranging from zero to three percent (0-3%) while the rest

considered as swampy areas, ponds, and other forms of wetlands or water bodies. Ground elevations are

generally between one to two meters (1-2 m) above Mean Sea Level (MSL).


The city belongs to climate Type I (Coronas Classification of Philippine Climate) characterized by two

seasons: the dry and the wet. Dry season starts in November and ends in May while wet season starts in

June and ends in October. Heavy rainfall is usually experienced during the months of July and August.

The coldest month is January.

The main atmospheric systems controlling rainfall in the area are the southwest monsoon from June to

September, northeast monsoon from December to February, and easterly waves from March to April.

The Inter-tropical Convergence Zone (ITCZ) and Local Thermal Convection also contribute significantly

to the total annual rainfall especially during summer (Dagupan City Ecological Profile, 2002).


The basic concept of ambient air monitoring is the measurement of a representative ambient air sample

taken from the monitoring station. The ambient air measurements are indicative of only a small portion

of the atmosphere and cannot be assumed to be representative of the total atmosphere. With these



Height is a considerable factor to be included in order to get a representative value or results of required

parameters such as the Particulate Matter (PM2.5). In this case therefore, it is assumed that one (1)

kilometer radius is considered to be an effective area for an ambient air monitoring station.

The computed PM2.5 concentration is expressed in micrograms per normal cubic meter (µg/Ncm). As per

DAO 2013 – 13 setting the National Ambient Air Quality Guideline Value (NAAQGV) for PM2.5 at 50

µg/Ncm and 25 µg/Ncm respectively effective January 1, 2016.

The conduct of ambient air quality monitoring is limited only in the determination of Paticulate Matter

(PM2.5) using manual PM2.5 Air Sampler conducted on a 24 – hour, weekly for a year. The analysis of

the filter is Gravimetric Method.

\Sampling Results and Interpretation

A total of sixty (60) samplings were conducted for the year and 25 percent (15 out of 60) of the

monitoring data were compliant with the NAAQGV of 50 µg/Ncm. The highest and lowest PM2.5

concentrations were recorded on the months of January and March respectively. The annual geometric

mean with the value of 63 µg/Ncm, did not meet the long term(annual) National Ambient Air Quality

Guideline Value of 25 µg/Ncm. The high concentrations were attributed primarily by the following

sources of emissions:

Different motor vehicles plying in and out of the city and

Different motor vehicles parking area near the monitoring station

Unpaved road and parking area leading to the monitoring station

Construction activities near the monitoring station

The annual PM2.5 concentration in Dagupan City station have shown a moderate decreasing trend

from 1st Quarter to 4th Quarter. A total of 25 percent (15 out of 60) are compliant with the NAAQGV of

50 µg/Ncm while the other results did not meet the Guideline Value.


Min Max Ave Number Percentage

Dec 31 - Jan 1 Partly cloudy to cloudy 6

Jan 8 - 9 Sunny 86

Jan 19 - 20 Sunny to partly cloudy 21


Jan 31 - Feb 1 Sunny/Windy 147






Mar 8-9 Partly cloudy to cloudy 48

Mar 14-15 Sunny to partly cloudy 118



Apr 1-2 Sunny/Partly Cloudy 140


Apr 13-14 Partly Cloudy to at Times Cloudy 154

Apr 25-26 Sunny 75

Apr 30-May 1 Clear/Sunny Skies 76

May 6-7 Cloudy/Rainy 91

May 12-13 Sunny to partly cloudy 102

May 18-19 Partly Cloudy to at Times Cloudy 18

May 24-25 Clear/Sunny Skies 55


June 5-6 Partly cloudy 42


June 17-18 Partly Cloudy to at Times Cloudy 47

June 23-24 Cloudy to Rainy 68

June 29-30 Cloudy to Rainy 91



July 17-18 Rainy 39


July 29-30 Rainy 92

Aug 4-5 Partly Cloudy to at Times Cloudy 39

Aug 10-11 Cloudy 27

Aug 16-17 Sunny to Partly Cloudy 77



Sept 5-6 Partly Cloudy to at Times Cloudy 78

Sept 11-12 Partly Cloudy 67

Sept 17-18 Overcast/Rainy 78

Sept 23-24 Sunny 71

Sept 29-30 Cloudy 89

Oct 5-6 Sunny to Partly Cloudy 57

Oct 11-12 Sunny 56





Nov 10-11 Cloudy/Overcast 55

Nov 16-17 Sunny to partly cloudy 94


Nov 28-29 Sunny 34

Dec 4-5 Sunny/Rainy 27

Dec 10-11 Sunny 54

Dec 16-17 Sunny 36

Dec 21-22 Sunny 87

Dec 27-28 Cloudy 64

Dec 31-Jan 1 Sunny 70*

73

63

153

\*Special case under memorandum re: Instruction to submit air quality index (AQI) and concentration data from the continuous Ambient Air Quality Monitoring

Station (CAAQMS) in the celebration of New Year 2020 dated December 20, 2019

75 154 126 4 100%

48 183 97 4 80%

74 147 107 5 100%

National Ambient Air Quality Guideline Value for PM 2.5 24 Hours - 50 µ g/Ncm

Annual Average

Date of Sampling Weather ConditionPM2.5 Concentration

(µg/Ncm)

Geometric Mean

98%-ile

RangeSample Above

NAAQGV

6 86 33 1 25%

18 102 72 5 83%

42 91 59 2 40%

39 92 65 3 60%

27 77 51 3 60%

67 89 77 5 100%

55 79 61 5 100%

34 109 77 4 80%

27 87 53 4 67%

6 183 45 75%73

Table 27. Annual Ambient Air Quality Data






Long Term NAAQGV

µg/Ncm50 25

RemarksC.Y. Minimum Maximum Average Geomean

Table 28 shows PM2.5 minimum concentration was recorded on the 1st Quarter with value of 6

µg/Ncm and maximum value of 183 µg/Ncm for the same Quarter, with annual average and geomean

values of 73 µg/Ncm and 63 µg/Ncm respectively. The annual geometric mean did not meet the long

term (annual) National Ambient Air Quality Guideline Value of 25 µg/Ncm.

Table 28. PM2.5 Ambient Air Quality Data CY 2019

Table 29. Summary of Data Comparison for Geometric Mean, CY 2016 to CY 2019

Table 29 shows the ambient annual average concentration of PM2.5 reflecting an increasing

trend from CY 2016 to CY 2019.

Quarter Minimum Maximum Average

1st Quarter 6 183 82

2nd Quarter 18 154 82

3rd Quarter 27 92 64

4th Quarter 27 109 64

Annual Average

Annual Geomean

98%-ile

73

63

153


WATER QUALITY MANAGEMENT

I. EXECUTIVE SUMMARY

LEGAL BASIS:

The Republic Act 9275 otherwise known as the Philippine Clean Water Act of 2004, provides that the

state shall pursue a policy of economic growth in a manner consistent with the protection and revival

of the quality of water resources within the framework of sustainable development. It is the policy of

the state to formulate a holistic national program of water quality management that focuses on

pollution prevention and recognizes that water quality resources management cannot be separated

from concerns about water sources and ecological protection, water supply, public health and quality

of life;

As a matter of policy and strategy to protect and sustainably manage the country’s surface water

resources, Section 5 of the Clean Water Act provides for the designation by the Department of

Environment and Natural Resources (DENR) in coordination with National Water Resources Board

(NWRB), of certain areas such as watersheds, river basins or water resources regions that share

common interests or face similar development programs and prospects as water quality management

areas (WQMA)

DENR DAO 2016-08 entitled Water Quality Guidelines and General Effluent Standards prescribes

the maximum water quality criteria that must be attained by various classified river systems. This set

of water quality parameters is also used by DENR in classifying bodies of water and designation of

Water Quality Management Areas. Amongst the parameters of importance include Dissolved Oxygen

(DO), pH, Biochemical Oxygen Demand (BOD), Total and Fecal Coliform parameters.

The classification of a water body according to a particular designated use or uses does not preclude

use of the water for other purposes that are lower in classification provided that such use does not

prejudice the quality required for such water. All classification and reclassification of water bodies

shall be adopted, only after public notice and hearing and upon affirmative findings by the DENR

Regional Office. The classification must establish the present and future most beneficial use of the

waters while reclassification is for the public interest and that the designated use is attainable upon

consideration of environmental, technological, social, economic and institutional factors.

The water quality monitoring that precedes the classification provides indications on the degree of

protection and mitigating measures required for the river system, its tributaries and their respective

watersheds.

Classification of Waterbodies

Region 1 has classified 24 river systems and 1 coastal waterbody. In the Province of Ilocos Norte,

three (3) rivers namely Bacarra-Vintar, Bonga and Laoag rivers are Officialy Classifed as Class A

waterbody; two rivers namely Bulu River and Banban rivers have 2 classifications: Class A at the

upstream and Class B at the downstream while only Quiaoit River is classified as Class C waterbody.

In the province of Ilocos Sur, two rivers namely Abra River and Buaya River are classified as Class

A; while Silag River has two classifications Class A/B and Tineg River is classified as Class B

waters.

In the province of La Union, five waterbodies are classified as Class A for Baroro River; Aringay

River as Class B; and Naguilian River (Lower) and Bauang river as Class C waterbodies.


In the province of Pangasinan, Balincaguin River is classified as Class B and eight (8) are class C

waterbodies identified as Dagupan (Pantal), Sinocalan, Toboy, Tagamusing, Agno, Ambayaoan,

Alaminos and Bued rivers.

The DENR- Provincial Environment and Natural Resources Offices (PENROs) have conducted river

profiling in CY 2018 and identified list of tributaries of the officially classified waterbodies for a total

of 57 rivers. However, some of the rivers are diurnal in nature.

In CY 2019, the water bodies monitored for include the three Water Quality Management Areas, four

(4) recreational waterbodies, two priority rivers and twenty-three (23) adopted waterbodies by

different stakeholders. Water quality monitoring was conducted monthly in the established six (6)

monitoring stations for the designation of Bolo River System Water Quality Management Area;

thirty- seven (37) WQMA monitoring stations in the three (3) designated WQMAs; eleven (11)

monitoring stations in the two identified priority rivers (Agno & Abra Rivers): 41 established

recreational waterbodies and twenty three (23) adopted waterbodies were conducted quarterly.

Generally, the results of all the monitoring of the river systems in the Region meet the physico –

chemical parameters except for Fecal Coliform.

Water Quality Management Areas

There are six monitoring stations established and monitored for the designation of Bolo River System

Water Quality Management Area. The ten primary parameters monitored are potential of Hydrogen

(pH), Dissolved Oxygen (DO), five-day Biochemical Oxygen Demand (BOD5), Color, Phosphate,

Nitrate, Chloride, Temperature, Total Suspended Solids (TSS) and Fecal Coliform. The recorded

annual averages of all the parameters monitored met the respective water quality guideline values

except for Fecal Coliform.

The three (3) Water Quality Management Areas namely: Sinocalan Dagupan River System, Naguilian

River System and Lower Amburayan River System have established a total of thirty-seven (37)

monitoring stations which were monthly monitored. Generally, the annual results of monitoring met

the Water Quality Guidelines for potential of Hydrogen (pH), Dissolved Oxygen (DO), five-day

Biochemical Oxygen Demand (BOD5), Color, Phosphate, Nitrate, Chloride, Temperature, Total

Suspended Solids (TSS) except for Fecal Coliform parameter in some of the monitoring stations. For

the parameters Heavy Metals and Inorganic Compounds for CY 2018 and CY 2019, the monitoring

data revealed that all representative stations met and are far below their corresponding DENR Water

Quality Guidelines. Moreover, the presence or traces of OrganoChlorine Pesticides (OCPs) and

OrganoPhosphorous Pesticides (OPPs) were not detected for all representative stations of the SDRS,

NRS and LARS WQMAs.

The annual Geometric mean from CY 2017, CY 2018 and CY 2019 recorded that all stations

exceeded the DENR Water Quality Guideline of 200 MPN/100 ml sample for the three WQMAs.

Recreational Waterbodies

There are forty-one (41) established monitoring stations of the bathing beaches often visited by

foreign and local tourists in the Region. There are eleven (11) stations in the province of Ilocos Norte,

six (6) in the province of Ilocos Sur, twelve (12) in the provinces of La Union and Pangasinan.

Generally, the annual geometric mean for Total and Fecal Coliform met the Water Quality Gudelines

of 1,000MPN/ 100ml sample and 100MPN/100 ml sample respectively. However, exceedances were

noted in some of the monitoring periods especially during the on- set of rainy seasons.

Priority Rivers

Two priority rivers (Agno and Abra Rivers) were also monitored. Through the eleven monitoring

stations established. The recorded annual averages of the basic 10 parameters were met except for the

parameters Chloride, Dissolved Oxygen, BOD and Fecal Coliform in some of the monitoring stations.


The high concentration for Cloride may be attributed to presence of high tide during the time of

sampling, while the low DO and high BOD due to absence of continuous flow and high Fecal

Coliform due to surface run-off during rainy season.

Adopt an Estero/Waterbody Program

The region has a total of forty-seven (47) signed Memorandum of Agreement (MOA) consisting of

forty-six (46) existing MOA that will expire on CY 2020, 2021 and 2023 and one (1) renewed MOA

that will expire on CY 2024 signed by the various organizations from Academe Sector (2), Hospital

(1), NGOs (23), NGAs (2), LGUs (5) and business/industry sectors (15).

The eight (8) years (CY 2011-CY 2019) implementation of the Adopt-an-Estero/Waterbody Program

along the designated Sinocalan-Dagupan River System Water Quality Management Area (SDRS-

WQMA) recorded a 75%-95% significant decrease in the concentration of coliform in the twenty-two

(22) established water quality monitoring stations in the SDRS-WQMA.

II. WATER QUALITY MANAGEMENT PROGRAMS

In compliance with the DAO 2016-08, the parameters monitored in CY 2019 are: potential of

Hydrogen (pH), Dissolved Oxygen (DO), five-day Biochemical Oxygen Demand (BOD5), Color,

Phosphate, Nitrate, Chloride, Temperature, Total Suspended Solids (TSS) and Fecal

Coliform.Samples from designated monitoring stations were analyzed at EMB Region I Laboratory.

Potential of Hydrogen (pH)

The pH scale is logarithmic and inversely indicates the concentration of hydrogen ions in the solution

(a lower pH indicates a higher concentration of hydrogen ions). This is because the formula used to

calculate pH approximates the negative of the base 10 logarithm of the molar concentration of

hydrogen ions in the solution. More precisely, pH is the negative of the base 10 logarithm of

the activity of the hydrogen ion.[1]

At 25 °C, solutions with a pH less than 7 are acidic and solutions with a pH greater than 7 are basic.

The neutral value of the pH depends on the temperature, being lower than 7 if the temperature

increases. The pH value can be less than 0 for very strong acids, or greater than 14 for very strong

bases.[2]

Dissolved Oxygen (DO)

DO levels fluctuate seasonally and over a 24-hour period. It varies with water temperature and

altitude. Cold water holds more oxygen than warm water and water holds less oxygen at higher

altitudes. Thermal discharges, such as water used to cool machinery in a manufacturing plant or a

power plant, raise the temperature of water and lower its oxygen content. Aquatic animals are most

vulnerable to lowered DO levels in the early morning on hot summer days when stream flows are low,

water temperatures are high, and aquatic plants have not been producing oxygen since sunset. [3]

Biochemical Oxygen Demand (BOD)

Biochemical Oxygen Demand (BOD) is the amount of dissolved oxygen needed (i.e. demanded) by

aerobic biological organisms to break down organic material present in a given water sample at

certain temperature over a specific period. The BOD value is most commonly expressed in milligrams

of oxygen consumed per liter of sample during 5 days of incubation at 20 °C and is often used as a

surrogate of the degree of organic pollution of water. [4]

Total Suspended Solids (TSS)

https://en.wikipedia.org/wiki/Logarithmic_scale

https://en.wikipedia.org/wiki/Concentration

https://en.wikipedia.org/wiki/Hydrogen_ion

https://en.wikipedia.org/wiki/Negative_number

https://en.wikipedia.org/wiki/Base_10_logarithm

https://en.wikipedia.org/wiki/Molar_concentration

https://en.wikipedia.org/wiki/Activity_(chemistry)

https://en.wikipedia.org/wiki/PH#cite_note-Bates-2

https://en.wikipedia.org/wiki/PH#cite_note-3



Total suspended solids is the dry-weight of suspended particles, that are not dissolved, in a sample of

water that can be trapped by a filter that is analyzed using a filtration apparatus. It is a water

quality parameter used to assess the quality of a specimen of any type of water or water body, ocean

water for example, or wastewater after treatment in a wastewater treatment plant. [5]

Color

Color is the characteristic of visual perception described through color categories, with names such

as red, orange, yellow, green, blue, or purple. This perception of color derives from the stimulation

of cone cells in the human eye by electromagnetic radiation in the visible spectrum. Color categories

and physical specifications of color are associated with objects through the wavelength of the light

that is reflected from them. This reflection is governed by the object's physical properties such as light

absorption, emission spectra, etc. [6]

Color is measured in units based on a platinum-cobalt standard solution that forms a yellow tint and is

limited to 15 units in public water supplies.

Temperature

The most common physical assessment of water quality is the measurement of temperature.

Temperature affects both the chemical and biological characteristics of surface water. It affects

the dissolved oxygen level in the water, photosynthesis of aquatic plants, metabolic rates of aquatic

organisms, and the sensitivity of these organisms to pollution, parasites and disease.

Thermal pollution is the introduction of water that is warmer than the body of water into which it

flows. It generally occurs near power plants. These industries discharge hot water that has been used

to cool equipment directly into streams. Another source of thermal pollution is urban runoff. This

water has been heated as it flowed over parking lots, streets and sidewalks. Plowing near streams or

the removal of the forest canopy during construction also contributes to thermal pollution by

decreasing shade, thereby increasing solar heating of the water's surface. In addition to increasing the

amount of solar radiation reaching the water's surface, removal of vegetation near streams often

results in increased erosion and increased amounts of sediments in the water. The sediments absorb

heat from sunlight rather than reflect it. This heats the water further. [7]

Nitrate

Nitrates are mainly produced for use as fertilizers in agriculture because of their high solubility and

biodegradability. The main nitrate fertilizers are ammonium, sodium, potassium, calcium, and

magnesium salts. Several million kilograms are produced annually for this purpose. The second major

application of nitrates is as oxidizing agents, most notably in explosives where the rapid oxidation of

carbon compounds liberates large volumes of gases. Sodium nitrate is used to remove air bubbles

from molten glass and some ceramics. Mixtures of the molten salt are used to harden some metals.[8]

Phosphate

A Phosphate is a chemical derivative of phosphoric acid. The phosphate ion is an inorganic chemical,

the conjugate base that can form many different salts. In organic chemistry, a phosphate,

or organophosphate, is an ester of phosphoric acid. Of the various phosphoric acids and phosphates,

organic phosphates are important in biochemistry and biogeochemistry (and, consequently,

in ecology), and inorganic phosphates are mined to obtain phosphorus for use in agriculture and

industry. [9]

Chloride

https://en.wikipedia.org/wiki/Dry_matter

https://en.wikipedia.org/wiki/Filter_(chemistry)

https://en.wikipedia.org/wiki/Water_quality

https://en.wikipedia.org/wiki/Water_quality

https://en.wikipedia.org/wiki/Wastewater

https://en.wikipedia.org/wiki/Wastewater_treatment_plant


https://en.wikipedia.org/wiki/Color_vision

https://en.wikipedia.org/wiki/Red

https://en.wikipedia.org/wiki/Orange_(colour)

https://en.wikipedia.org/wiki/Yellow

https://en.wikipedia.org/wiki/Green

https://en.wikipedia.org/wiki/Blue

https://en.wikipedia.org/wiki/Purple

https://en.wikipedia.org/wiki/Cone_cell

https://en.wikipedia.org/wiki/Electromagnetic_radiation

https://en.wikipedia.org/wiki/Visible_spectrum


http://www.cotf.edu/ete/modules/waterq3/WQassess3.html

http://www.cotf.edu/ete/modules/waterq3/WQassess2.html

http://www.cotf.edu/ete/modules/waterq3/WQassess3f.html

http://www.cotf.edu/ete/modules/waterq3/WQglossary.html#photosynthesis

http://www.cotf.edu/ete/modules/waterq3/WQglossary.html#sediment


https://en.wikipedia.org/wiki/Fertilizer

https://en.wikipedia.org/wiki/Agriculture


https://en.wikipedia.org/wiki/Phosphoric_acid

https://en.wikipedia.org/wiki/Inorganic_chemical

https://en.wikipedia.org/wiki/Conjugate_base

https://en.wikipedia.org/wiki/Salt_(chemistry)

https://en.wikipedia.org/wiki/Organic_chemistry

https://en.wikipedia.org/wiki/Organophosphate

https://en.wikipedia.org/wiki/Ester

https://en.wikipedia.org/wiki/Phosphoric_acids_and_phosphates

https://en.wikipedia.org/wiki/Biochemistry

https://en.wikipedia.org/wiki/Biogeochemistry

https://en.wikipedia.org/wiki/Ecology

https://en.wikipedia.org/wiki/Mining

https://en.wikipedia.org/wiki/Phosphorus



Chloride is also a useful and reliable chemical indicator of river / groundwater fecal contamination, as

chloride is a non-reactive solute and ubiquitous to sewage & potable water. Many water-regulating

companies around the world utilize chloride to check the contamination levels of the rivers and

potable water sources.

Another major application involving chloride is desalination, which involves the energy intensive

removal of chloride salts to give potable water. In the petroleum industry, the chlorides are a closely

monitored constituent of the mud system. An increase of the chlorides in the mud system may be an

indication of drilling into a high-pressure saltwater formation. Its increase can also indicate the poor

quality of a target sand.[10]

Total Coliform

Coliform bacteria include genera that originate in feces (e.g. Escherichia) as well as genera not of

fecal origin (e.g. Enterobacter, Klebsiella, Citrobacter). The assay is intended to be an indicator of

fecal contamination; more specifically of E. coli which is an indicator microorganism for

other pathogens that may be present in feces. Presence of fecal coliforms in water may not be directly

harmful and does not necessarily indicate the presence of feces.

Fecal Coliform

A fecal coliform is a facultatively anaerobic, rod-shaped, gram-negative, non-spore

forming bacterium. Coliform bacteria generally originate in the intestines of warm-blooded animals.

Fecal coliforms are capable of growth in the presence of bile salts or similar surface agents,

are oxidase negative, and produce acid and gas from lactose within 48 hours at 44 ± 0.5°C. [12]

Trace Metals

Trace metals are metals in extremely small quantities that reside in or are present in animal, plant cell

and tissues. They are necessary part of good nutrition, although they can be toxic if ingested in excess

quantities.

Trace metals include iron, magnesium, lithium, zinc, copper, chromium, nickel, cobalt, vanadium,

arsenic, molybdenum, manganese and selenium. The metallic elements can be categorized in two

groups: heavy metals and light metals.

Metals in the river come from natural as well as artificial sources. Metals that are naturally introduced

into the river come primarily from such sources as rock weathering, soil erosion, or the dissolution of

water-soluble salts. Naturally occurring metals move through aquatic environments independently of

human activities without any detrimental effects. However, metals added by human activities affect

the water quality.

Heavy metallic elements are iron, lead and copper while the light metals are sodium, magnesium and

potassium. Five heavy metals are linked to human growth, development, achievement and

reproduction. Even these metals, however, can become toxic or aesthetically undesirable when their

concentrations are too great. [13]

Several heavy metals, like cadmium, lead and mercury are highly toxic at relatively low

concentrations.

Arsenic (As)

Arsenic can exist in a metallic state in three forms (yellow, black, and gray; with gray

predominating) and in ionic forms. Arsenic is a poisonous substance, which is released

both from certain human activities and naturally from the Earth's crust. Humans may be

exposed to arsenic mainly through food and water, particularly in certain areas where the

groundwater is in contact with arsenic-containing minerals. Long-term exposure can

https://en.wikipedia.org/wiki/Desalination

https://en.wikipedia.org/wiki/Drinking_water

https://en.wikipedia.org/wiki/Petroleum_industry

https://en.wikipedia.org/wiki/Drilling_fluid


https://en.wikipedia.org/wiki/Coliform_bacteria

https://en.wikipedia.org/wiki/Genera

https://en.wikipedia.org/wiki/Feces

https://en.wikipedia.org/wiki/Escherichia

https://en.wikipedia.org/wiki/Enterobacter

https://en.wikipedia.org/wiki/Klebsiella

https://en.wikipedia.org/wiki/Citrobacter

https://en.wikipedia.org/wiki/Escherichia_coli

https://en.wikipedia.org/wiki/Pathogen

https://en.wikipedia.org/wiki/Water

https://en.wikipedia.org/wiki/Facultative_anaerobic_organism

https://en.wikipedia.org/wiki/Bacillus_(shape)

https://en.wikipedia.org/wiki/Gram-negative

https://en.wikipedia.org/wiki/Endospore

https://en.wikipedia.org/wiki/Bacterium

https://en.wikipedia.org/wiki/Bile

https://en.wikipedia.org/wiki/Oxidase

https://en.wikipedia.org/wiki/Lactose



result in thickening of the skin, darker skin, abdominal pain, diarrhea, heart disease,

numbness, and cancer.

Cadmium (Cd)

The potential sources of cadmium are from electroplating activities and batteries.

Chromium (Cr)

Chromium compounds are primarily used in dyes and paints and in the tanning of leather.

In the automobile industry, hexavalent chromium is found in the primer paints for

refinishing applications.

Copper (Cu)

Copper is a mineral. It is found in many foods, particularly in organ meats, seafood, nuts,

seeds, wheat bran cereals, grain products, and cocoa products.

Lead (Pb)

Lead and lead compounds have been used in a wide variety of products found in and

around our homes, including paint, ceramics, pipes and plumbing materials, solders,

gasoline, batteries, ammunition, and cosmetics. Lead may enter the environment from

these past and current uses.

Mercury

Mercury is a highly toxic element that is found both naturally and as an introduced

contaminant in the environment. It can be a threat to the health of people and wildlife in

many environments that are not obviously polluted.

Zinc (Zn)

Zinc Sources can be a particularly problematic compound for industrial sites to deal with,

because the source of zinc in stormwater is often hard to determine. Industrial stormwater

often contains a mix of metals, sediment, oil & grease, and other potential pollutants with

many potential sources from the industrial site or neighbors (or nearby non-industry)

Inorganic Compounds

An inorganic compound is typically a chemical compound that lacks carbon–hydrogen bonds, that is,

a compound that is not an organic compound.[14]

Ammonia

Ammonia is a non-persistent and non-cumulative toxicant to aquatic life. The toxicity of ammonia

can depend on pH, temperature and ionic composition of exposure water. The toxicity of

ammonia is primarily attributed to the un-ionised NH3. Being a neutral molecule, un-ionised

ammonia is able to cross epithelial membranes of aquatic organisms more readily than the

ammonium ion. However, ammonium ion can also contribute significantly to ammonia toxicity

under certain conditions. [14]

In general, more un-ionised ammonia exists at higher pH and hence overall toxicity is greater,

although the toxicity of the un-ionised form is less at higher pH. However, data also indicate that

at lower pH, less un-ionised NH3 is needed to produce its toxic effects because the ammonium ion

is responsible for some of the toxicity. At sufficiently lower pH, the relative amount of

ammonium ion increases and it dominates toxicity. Overall, the effect of pH on toxicity of

ammonia is largely explained by a combined toxicity of the un-ionised ammonia and ammonium

ion, with un-ionised ammonia contributing mostly to toxicity at high pH and ammonium ion

being more important at lower pH. [14]

Cyanide, Free

https://en.wikipedia.org/wiki/Chemical_compound

https://en.wikipedia.org/wiki/Carbon%E2%80%93hydrogen_bond

https://en.wikipedia.org/wiki/Organic_compound


Cyanides are organic and/or inorganic compounds that contain the cyano group –CN. Cyanide

(CAS 151-50-8 when in the form of KCN) is a common industrial chemical used for nitrile and

methacrylate fibres and other organic nitrile compounds; extraction of gold and silver from low

grade ores, in electroplating and metal production. [15]

Cyanide also has other uses in pesticides

(Leduc et al. 1982). [16]

The cyanides present in effluents may be of different forms such as hydrocyanic acid HCN,

cyanide ion CN-, various metallo-cyanide complexes which span a wide range of stabilities

([M(CN)n]m-

), cyanogen (CN)2, cyanates (containing -OCN), thiocyanates (-SCN) and nitriles

(RCN, R for alkyl group). Free cyanide is the sum of cyanide present as molecular HCN and ionic

CN- whereas total cyanide includes also the measurable cyanide from breakdown of metallo-

cyanide and organic complexes. [17]

The different forms of cyanide have different chemical properties, and hence different degrees of

toxicity to aquatic organisms. The HCN and CN- present or derived from dissociation of

complexed or bound cyanides are the principal toxic forms, the former being more toxic because

it is able to cross biological membranes. [17]

The toxicity of cyanides is mainly through the

inhibition of cellular respiration. The binding of cyanide to haeme iron (III) of enzymes such as

cytochrome oxidase, prevents electron transfer to molecular O2.

Phosphates

Phosphate is an essential nutrient; its abundance promotes cyanobacterial blooms. Under

conditions of ample phosphate supply, cyanobacteria accumulate inorganic phosphate in excess of

their immediate requirements in polyphosphate bodies. However, when these nutrients are not

fully utilized by plants they can be lost from the farm.

Organochlorine Pesticides (OCPs)

Organochlorine pesticides are chlorinated hydrocarbons used broadly from the 1940s throughout the

1960s in agriculture and mosquito control. Representative compounds in this group include DDT,

methoxychlor, dieldrin, chlordane, toxaphene, mirex, kepone, lindane, and benzene hexachloride.

Humans can be exposed to organochlorine pesticides through unintentional inhalation exposure if you

are in an area where they were recently applied. The chemicals can also be consumed in fish, dairy

products, and other fatty foods that are infected. OCPs build up in the environment, they are very

persistent and move long distances in surface runoff or groundwater.

Exposure to OCPs over a short period may produce convulsions, headache, nausea, vomiting, tremors,

muscle weakness, salivation and sweating. Long-term exposure to OCPs may harm the liver, kidney,

central nervous system, thyroid and bladder. Many of these pesticides have been correlated to

elevated rates of liver or kidney cancer in animals. There is some data signifying that organochlorine

pesticides may also cause cancer in humans. [18]

OrganoPhosphorus (OPPs) Compounds

Organophosphorus compounds are organic compounds containing phosphorus. They are used

primarily in pest control as an alternative to chlorinated hydrocarbons that persist in the environment.

Some organophosphorus compounds are highly effective insecticides, although some are extremely

toxic to humans, including sarin and VX nerve agents. [19]

III. MANAGEMENT OF WATER QUALITY MANAGEMENT AREAS


The WQMA coverage has similar hydrological, hydrogeological, meteorological and geographical

conditions that affect the physicochemical, biological and bacteriological reactions and diffusions of

pollutants, especially towards the end of the river system that eventually drains to the Lingayen Gulf

and West Philippine Sea.

The WQMA shares defined common and similar water quality-related development programs,

prospects, and problems and have the prospect and potential of economic and social development.

Improvement and/or preservation of river quality are essential requisites for future growth of the area.

Land-use in the WQMA areas can be classified generally into agricultural, residential, forest and

commercial areas. Aquaculture is significant in Dagupan City and the municipality of Binmaley in the

province of Pangasinan and municipality of Bauang in the province of La Union.

A. DESIGNATION OF BOLO RIVER SYSTEM- WATER QUALITY MANAGEMENT

AREA

The proposed Bolo River System-Water Quality Management Area (BRS-WQMA) covers the

Municipalities of Adams, Bangui, Dumalneg and Pagudpud in the Province of Ilocos Norte.

The proposed Bolo River System Water Quality Management Area is bounded by the geographical

coordinates of 18°33'5.84" and 18°25'50.19" north latitudes; and 120°46'38.85" and 120°57'0.11" east

longitudes. The whole WQMA area has a total area of 18,263 hectares.

There are ten (10) barangays within the Bolo River System, with a total of 3,471 households and total

population of 15,016 based on 2010 CBMS Survey for the Municipality of Adams 2014 NSO Survey

for the Municipalities of Bangui, Dumalneg and Pagudpud.

Land-use in the proposed WQMA area can be classified generally into agricultural, residential, forest

and commercial areas.

The main channel of the Bolo River originates from the mountainous area of the Municipality of

Adams and flows downstream to Brgy. Isidro in the Municipality of Dumalneg; Brgy. Dampig and

Brgy. Tarrag, Pagudpud; Brgy. Lanao, Brgy. Malasin, Brgy. Nagbalagan and Brgy. Lorenzo, Bangui

where it drains to the Bangui Bay. This main channel has a length of 29.97 kilometers. At Sitio

Basset, Brgy. Isidro, Dumalneg, a minor tributary with a length of 5.11 kilometers from Barangay

Pancian, Pagudpud converges into the main channel of the Bolo River. A minor tributary with a

length of 4.28 kilometers originates at Abang Falls in the Municipality of Bangui which merges with

the main channel of the Bolo River at Brgy. Lanao.

The Bolo River has an average width of 48.22 meters during the dry season and 57 meters during the

wet season, with the widest at 135 meters at Caramuangin Bridge in the Municipality of Bangui and

the narrowest is 31 meters at Brgy. Pancian, Pagudpud. Its average depth during the dry season is 0.46

meters and 1.37 meters for the wet season, the deepest part measures 1.8625 meters at Caramuangin

Bridge in Bangui, Ilocos Norte, the shallowest portion is 0.1375 meters at Sitio Anat, Brgy.

Poblacion, Adams, Ilocos Norte.

The highest recorded flow of 158.51 m3/sec is at Sitio Anat located between the Municipalities of

Adams and Dumalneg. The lowest recorded flow rate is 0.29 m3/sec at Caramuangin Bridge, Bangui,

Ilocos Norte.

Generally, the river is used for four major activities: fishing, agriculture, tourism and domestic

purposes. Use of the river for bathing and washing clothes is also common.

As provided for in DENR Memorandum Circular No. 2001-09, Series of 2001, the upstream portion


of the Bolo River in Sitio Anat, Brgy. Poblacion in the Municipality of Adams was officially

classified as Class A water body, while the downstream portion originates from Sitio Cabacan, Brgy.

Poblacion, Adams passing through the Municipalities of Dumalneg, Pagudpud and Bangui was

officially classified as Class B water body.

Six (6) monitoring stations were sustained as of CY 2019 for the water quality monitoring of the river

system. Four (4) out of six (6) stations located in the municipalities of Adams, Bangui and Dumalneg

had been continuously monitored monthly since July 2017. Two additional stations located in the

Municipalities of Adams and Pagudpud were added in CY 2018. In accordance with DAO 2016-08,

monthly monitoring for the primary parameters was conducted since January 2019.

WATER QUALITY MONITORING OF THE BOLO RIVER SYSTEM

A.1. Potential of Hydrogen (pH)

Table 30 shows the pH Monitoring Data for Class B Water Type. All monitoring stations met the

DENR Water Quality Guideline (6.5-8.5) for pH.

Table 30. Potential of Hydrogen Monitoring Data, CY 2017

Station ID NAME OF STATION

PARAMETER

MIN MAX AVE POTENTIAL OF HYDROGEN

Jul Aug Sep Oct Nov

ADA-2 Poblacion, Adams 8.5 8.0 7.2 8.0 7.6 7..2 8.5 7.9

ADA-1 Cabacan – Adams,

Ilocos Norte 8.5 8.0 8.3 8.1 7.2 7.2 8.0 8.0

DUM-1 Brgy. San Isidro

(Midstream) 8.4 7.8 8.4 8.3 7.3 7.3 8.4 8.0

BAN-2 Abang Falls 8.6 7.6 6.7 8.0 7.3 6.7 8.6 7.6

BAN-1

Caramuangin Bridge,

Brgy. Lanao

(Downstream)

8.4 7.8 8.3 8.5 7.2 7.2 8.5 8.0

DENR Water Quality Guideline

Value for Class "B" Waters 6.5-8.5

The pH values recorded in most of the monitoring stations met the DENR Water Quality Criteria set

for Class A and B Water Type of 6.5 to 8.5 as shown in Table 31. The pH values in the BAN-1

monitoring station for the months of March, October and December exceeded the maximum pH

criteria of 8.5. Moreover, the pH values in the DUM-1 monitoring station for the month of October

also exceeded the DENR Water Quality Criteria set for Class B Water Type.

Table 31. pH Monitoring Data, CY 2018

Statio

n

ID

Name of Station


Fe

b

Ma

r

Ap

r

Ma

y

Ju

n

Ju

l

Au

g

Se

p

Oc

t Nov

De

c

Av

e

ADA-

3

Anat - Adams, Ilocos Norte

(CLASS A) - - - - - 8.0 8.5 8.1 7.9 8.3 8.5 8.2


(-) no sampling in June due to continuous heavy rainfall and typhoons

Table 32 shows the pH Monitoring Data for Class B and Class A Water Type, respectively for CY

2019. Most of the pH value of the monitoring stations met the DENR Water Quality Criteria set for

Class A and B Water Type of 6.5 to 8.5 except in the monitoring stations at ADA-3 for February and

March and DUM-1 for the month of February.


STATION

I.D NAME OF STATION


Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Ave

ADA-3 Sitio Anat (CLASS A),

Poblacion, Adams - 8.7 8.6 8.5 8.3 - 7.7 7.5 7.4 8.0 7.4 8.0

ADA-1 Poblacion, Adams - 8.5 8.4 8.5 8.2 7.9 7.8 7.3 6.9 7.4 7.0 7.8

PAG-1 Pancian, Pagudpud

(Downstream) - 8.2 7.8 8.1 8.2 7.6 7.8 7.9 8.2 7.0 6.9 7.8

DUM-1 Brgy. San Isidro (Midstream) - 8.6 8.4 8.1 8.5 8.3 7.8 7.9 8 8.2 7.9 8.2

BAN-2 Abang Falls - Stagnan

t Dry Dry 8.5 Dry 7.9 7.7 7.9 8.4 7.7 8.0

BAN-1

Caramuangin Bridge, Brgy.

Lanao

(Downstream)

- 8.2 8 8.2 8.1 7.7 7.6 7.2 6.7 8.2 7.8 7.8

DENR Water Quality Guideline Value for

Class " A " Waters 6.5-8.5


Class " B " Waters 6.5-8.5

ADA–

2

Cabacan – Adams, Ilocos

Norte - 8.2 8.3 8.3 - 7.8 8.0 8.1 8.3 8.3 8.4 8.2

ADA–

1

Poblacion, Adams, Ilocos

Norte - 8.3 8.0 8.3 - 8.0 8.5 8.3 8.2 8.2 8.3 8.2

PAG–

1

Pancian – Pagudpud, Ilocos

Norte - 8.0 7.9 8.0 - - -- 8.2 8.3 8.2 8.1 8.1

DUM

–1

San Isidro – Dumalneg, Ilocos

Norte

8.

0 8.4 8.0 7.9 - 8.0 8.1 7.9 8.9 8.3 8.5 8.2

BAN–

2

Caramuangin – Bangui, Ilocos

Norte

8.

0 7.9 7.8 7.8 - 8.0 8.2 8.1 8.0 7.9 8.2 8.0

BAN–

1

Abang Falls – Bangui, Ilocos

Norte

8.

1 8.6 - - - 8.5 8.5 7.3 8.6 8.3 8.7 8.3


Value

for Class "B" Waters

6.5-8.5


Value

for Class "A" Waters

6.5-8.5


A.2. Dissolved Oxygen (DO)

Based on the tabulated monitoring data in Table 33, all stations met the minimum DO requirement of

5.0 mg/L to sustain aquatic life for all the monitoring periods. The DO values range from 7.9 mg/L to

9.6 mg/L.

Table 33. Dissolved Oxygen (DO) Monitoring Data, CY 2017

Station

ID NAME OF STATION

PARAMETER

AVE DISSOLVED OXYGEN (DO)

Jul Aug Sep Oct Nov

ADA-2 Poblacion, Adams 9.6 8.4 8.7 8.5 8.6 8.8

ADA-1 Cabacan – Adams, Ilocos Norte 8.9 8.0 8.3 8.6 8.3 8.4

DUM-

1 Brgy. San Isidro (Midstream) 8.7 8.7 8.0 8.6 8.3 8.5

BAN-2 Abang Falls 9.6 8.9 8.4 8.6 8.3 8.8

BAN-1 Caramuangin Bridge, Brgy. Lanao

(Downstream) 8.9 8.1 9.0 8.4 7.9 8.5


Value for Class "B" Waters ≥5.0 mg/L

Table 34 presents the Dissolved Oxygen Monitoring Data for CY 2018 for Class B and Class A Water

Classification. As reflected from the table, all stations met the DENR water quality guideline for both

Class B and Class A waters that is 5 mg/L. Figure 5 shows the graphical presentation of Dissolved

Oxygen (DO) data for CY 2018. The annual average of the DO results also showed that all

monitoring stations met the DENR water quality guideline of 5.0 mg/L to sustain aquatic life.

Table 34. Dissolved Oxygen (DO) Monitoring Data for CY 2018 Statio

n

ID

Name of Station Dissolved Oxygen (DO)

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Ave

ADA-

3


(CLASS A) 9.1 8.8 9.2 7 - 8.6 8.5 8.5 8.3 8.6 9.2 8.6

ADA–

2 Cabacan – Adams, Ilocos Norte - 8.6 9.3 8 - 8.4 8.8 8.4 9.2 8.7 9.5 8.8

ADA–

1 Poblacion, Adams, Ilocos Norte - 8.9 8.8 7.6 - 8.6 8.7 8.6 9.1 8.8 9.5 8.7

PAG–

1 Pancian – Pagudpud, Ilocos Norte - 9.0 9 7.7 - - -- 8.6 9.2 8.4 9.7 8.8

DUM–

1


Norte 9.1 8.8 9.2 7 - 8.2 8.2 8.8 8.4 8.5 9.6 8.6

BAN–

2


Norte 8.9 8.7 9 7.2 - 9.2 8.2 8.5 8.5 8.3 8.6 8.5

BAN–

1


Norte 9.1 8.2 - - - 8.4 8.0 8.5 8.1 8.7 9.4 8.6


for Class "B" Waters ≥5.0 mg/L



Table 35 shows the monitoring data for the six (6) established monitoring stations of the Bolo River

System. As gleaned from the table, all monitoring stations met their respective DENR Water Quality

Guideline for Class A and Class B water classification for the Dissolved Oxygen parameter.

Table 35. Dissolved Oxygen (DO) Monitoring Data for Q1-Q4 of CY 2019

STATION

I.D NAME OF STATION



ADA-3 Adams 3 - Sitio Anat (CLASS A) - 10 9.3 8.4 8.4 - 8.6 9.1 8.3 8.3 8.6 8.8

ADA-1 Poblacion, Adams, Ilocos Norte - 9.6 9.1 8.8 8.4 8.5 8.8 9 8.5 8.7 8.3 8.8

PAG-1 Pancian, Pagudpud (Downstream) - 9.3 8.8 8.5 9.0 7.8 9.1 8.9 8.5 8.1 8.9 8.7

DUM-1 Brgy. San Isidro (Midstream) - 9.1 8.8 8.3 8.0 8.1 8.9 9.2 8.5 8.4 8.8 8.6

BAN-2 Abang Falls - Stagnant Dry Dry 8.2 Dry 8.2 8.5 8.6 9.1 8.7 8.6


(Downstream) - 8.3 8.3 8.8 8.1 7.9 7.9 9.1 8.8 8.6 7.8 8.4


Class " A " Waters ≥5.0 mg/L


Class " B " Waters ≥5.0 mg/L

A.3. Biochemical Oxygen Demand (BOD)

Table 36 shows the monitoring data of Biochemical Oxygen Demand for CY 2017 for Class A and

Class B Water Type. All monitoring stations except the BAN-1 monitoring station in the month of

July met the DENR water quality guideline (BOD ≤5 mg/L) for Class B waters and BOD ≤3 mg/L for

Class A waters.

Table 36. Biochemical Oxygen Demand (BOD) Monitoring Data for CY 2017


PARAMETER

AVE Biochemical Oxygen Demand (BOD)

Jul Aug Sep Oct Nov

ADA-2 Adams 1 - Baset 1 1 1 1 2 1

ADA-1 Cabacan – Adams, Ilocos

Norte 4 2 1 1 1 2


(Midstream) 2 3 3 1 2 2

BAN-2 Abang Falls 2 3 4 1 2 2

BAN-1

Caramuangin Bridge,

Brgy. Lanao

(Downstream)

10 3 2 2 2 4


Value for Class "B" Waters ≤5.0 mg/L


for Class "A" Waters ≥5.0 mg/L


Table 37 shows the monitoring data of Biochemical Oxygen Demand for CY 2018 for Class B and

Class A Water Classification. All monitoring stations met the DENR water quality guideline (BOD ≤5

mg/L) for Class B waters and BOD ≤3 mg/L for Class A waters.

Table 37. Biochemical Oxygen Demand (BOD) Monitoring Data for CY 2018


Table 38 shows the monitoring data of Biochemical Oxygen Demand for CY 2019 for Class B and

Class A Water Classification. All monitoring stations met the DENR water quality guideline (BOD ≤5

mg/L) for Class B waters and BOD ≤3 mg/L for Class A waters. Figure 9 shows the graphical

presentation of Biochemical Oxygen Demand (BOD) data for CY 2019.

Table 38. Biochemical Oxygen Demand (BOD) Monitoring Data, CY 2019

STATION

I.D NAME OF STATION



ADA-3 Adams 3 - Sitio Anat (CLASS A) - <1 2 <1 3 - 1 <1 <1 <1 - 1

ADA-1 Poblacion, Adams, Ilocos Norte - <1 3 1 1 3 1 <1 <1 <1 - 1

PAG-1 Pancian, Pagudpud (Downstream) - <1 2 <1 3 - <1 1 <1 1 - 1

DUM-1 Brgy. San Isidro (Midstream) - 3 <1 <1 2 2 1 <1 <1 <1 - 1

BAN-2 Abang Falls - Stagnant Dry Dry 1 Dry <1 <1 1 <1 - 1


(Downstream) - <1 2 2 4 3 1 <1 <1 <1 - 2

DENR Water Quality Guideline Value

for Class "B" Waters ≤5.0 mg/L


for Class "A" Waters ≤3.0 mg/L

Statio

n

ID

Name of Station


Feb Mar Apr Ma

y Jun Jul Aug Sep Oct Nov Dec Ave

ADA-

3


(CLASS A) - - - - - <1 <1 2 <1 <1 2 1

ADA–

2 Cabacan – Adams, Ilocos Norte - 3 1 2 - 2 <1 2 <1 <1 <1 2

ADA–

1 Poblacion, Adams, Ilocos Norte - 1 2 4 - 2 <1 1 <1 <1 <1 2

PAG–

1 Pancian – Pagudpud, Ilocos Norte - 1 2 3 - 2 -- 1 <1 <1 <1 2

DUM–

1


Norte 1 2 <1 3 - 2 <1 <1 2 <1 2 2

BAN–

2


Norte 2 2 2 2 - 1 <1 4 <1 <1 <1 2

BAN–

1


Norte 1 3 - - - 2 <1 <1 <1 <1 <1 1






Table 39 relays the Total Suspended Solids Monitoring Data for CY 2017. The tabulated data shows

that all monitoring stations except DUM-1 and BAN-1 monitoring station in the month of August met

the DENR water quality guideline (TSS ≤65 mg/L) for Class B water type. The high concentration

was attributed by natural surface run-off during the on-set of rainy seasons.

Table 39. Total Suspended Solids (TSS) Monitoring Data, CY 2017

Station

ID NAME OF STATION

PARAMETER

AVE TOTAL SUSPENDED SOLIDS

(TSS)

Jul Aug Sep Oct Nov

ADA-2 Poblacion, Adams, Ilocos

Norte 2 2 1 1 1 1

ADA-1 Cabacan – Adams, Ilocos

Norte 6 9 2 1 2 4

DUM-1 Brgy. San Isidro (Midstream) 8 286 7 1 1 61

BAN-2 Abang Falls 1 6 2 1 4 3

BAN-1 Caramuangin Bridge, Brgy.

Lanao (Downstream) 18 140 27 4 2 38


Value for Class "B" Waters ≤65.0 mg/L

Table 40 shows that all monitoring data met the DENR water quality guideline (TSS ≤65 mg/L) for

Class B water type and (TSS ≤50 mg/L) for Class A water type.

Table 40. Total Suspended Solids (TSS) Monitoring Data, CY 2018 Statio

n

ID

Name of Station Total Suspended Solids (TSS)

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Ave

ADA-

3


(CLASS A) 4 1 2 2 - 1 <1 2 <1 10 2 3

ADA–

2 Cabacan – Adams, Ilocos Norte - 1 1 <1 - <1 2 <1 <1 1 3 1

ADA–

1 Poblacion, Adams, Ilocos Norte - 1 <1 <1 - 2 6 2 <1 10 6 3

PAG–

1 Pancian – Pagudpud, Ilocos Norte - 1.0 3 10 - - -- 2 <1 3 5 4

DUM–

1


Norte 4 1 2 2 - 9 8 1 <1 5 5 4

BAN–

2


Norte 12 9 6 2 - 3 6 2 4 27 14 9

BAN–

1


Norte 1 1 - - - 3 1 1 <1 <1 2 1







Table 41 shows the annual monitoring data for the six (6) established monitoring stations of the Bolo

River System. As gleaned from the table, the Total Suspended Solids results revealed that station

ADA-1 in May and DUM-1 in March and May did not meet the DENR Water Quality Guideline of

≤65 mg/L for Class B water classification.


STATION

I.D NAME OF STATION

Total Suspended Solids (TSS)


ADA-3 Adams 3 - Sitio Anat (CLASS

A) - <2 3 <2 14 - 12 6 <2 3 7 5

ADA-1 Poblacion, Adams, Ilocos Norte - <2 3 <2 80 4 15 2 4 <2 8 12


(Downstream) - 3 2 <2 <2 5 35 19 2 5 4 8

DUM-1 Brgy. San Isidro (Midstream) - <2 123 39 139 14 3 6 <2 <2 7 33


t Dry Dry 2 Dry 17 56 8 <2 <2 14

BAN-1


Lanao

(Downstream)

- 7 8 <2 29 <2 39 <2 3 4 5 10





A.5. Color

Based on the tabulated annual monitoring data for CY 2019 in Table 42, all six (6) stations met the

maximum Color requirement of 50 TCU. The Color values range from 5 TCU to 20 TCU.

Table 42. Color Monitoring Data, CY 2019

STATION

I.D NAME OF STATION

Color


ADA-3 Adams 3 - Sitio Anat (CLASS

A) - 5 5 5 15 - <10 <10 <10 5 <5 6


Norte - 5 5 <5 5 <5 <10 <10 <10 5 <5 5


(Downstream) - 5 5 <5 5 <5 <10 <10 <10 5 <5 5

DUM-1 Brgy. San Isidro (Midstream) - 5 5 5 5 5 <10 <10 <10 5 5 6

BAN-2 Abang Falls - Stagnant Dry Dry 20 Dry <10 <10 <10 5 <5 8

BAN-1


Lanao

(Downstream)

- 5 10 <5 5 <5 <10 <10 <10 5 <5 6



≤50 TCU




≤50 TCU

A.6. Temperature

Tables 43 shows the annual Temperature Monitoring Data for Class B Water Type. Most of the

monitoring stations did not meet the DENR Water Quality Guideline (26-30°C) for temperature that is

due to the high elevation of the stations causing the relatively cold ambient results for the said

parameter.

Table 43. Temperature Monitoring Data, CY 2019

STATION

I.D NAME OF STATION

Temperature


ADA-3 Adams 3 - Sitio Anat (CLASS A) - 25.09 - 23.86 29.74 26.4 34.62 25.98 25.18 - - 27.27

ADA-1 Poblacion, Adams, Ilocos Norte - 29.1 - 25.02 31.01 27.54 33.26 26.23 23.45 - - 27.94

PAG-1 Pancian, Pagudpud (Downstream) - 24.73 - 25.32 32.04 27.85 33.13 25.06 28.24 - - 28.05

DUM-1 Brgy. San Isidro (Midstream) - 27.38 - 26.68 32.1 - 24.67 25.44 27.85 - - 27.35

BAN-2 Abang Falls - Stagnant Dry Dry 34.21 Dry 24.87 26.89 28.07 - - 28.51

BAN-1


Lanao

(Downstream)

- 30.17 - 26.85 31.2 29.15 32.6 24.2 23.49 - - 28.24


for Class "B" Waters 26-30°C


for Class "A" Waters 26-30°C

A.7. Nitrate


River System. As gleaned from the table, the Nitrate results revealed that all monitoring station met

the DENR Water Quality Guideline of ≤7 mg/L for Class B water classification.

Table 44. Nitrate Monitoring Data, CY 2019

STATION

I.D NAME OF STATION

Nitrate


ADA-3 Adams 3 - Sitio Anat (CLASS A) - 0.06 0.06 <0.05 0.37 - 0.13 0.12 0.07 <0.0

5

<0.0

5 0.10

ADA-1 Poblacion, Adams, Ilocos Norte - <0.05 0.06 <0.05 0.14 0.07 0.14 0.16 0.1 <0.0

5 0.10 0.09

PAG-1 Pancian, Pagudpud (Downstream) - 0.23 0.16 0 0.17 0.28 0.11 0.09 0.06 0.17 0.24 0.15

DUM-1 Brgy. San Isidro (Midstream) - <0.05 0.11 0.06 0.13 0.06 0.38 0.12 0.08 0.05 0.07 0.11

BAN-2 Abang Falls - Stagna

nt Dry Dry - Dry 0.17 0.12 0.07

<0.0

5 0.09 0.10


(Downstream) - 0.11 0.16 0.09 - 0.09 0.31 0.32 0.3 0.1 0.39 0.21



for Class "B" Waters ≤7 mg/L


for Class "A" Waters ≤7 mg/L

A.8. Phosphate

Table 45 shows the annual monitoring data for CY 2019 in the the six (6) established monitoring

stations of the Bolo River System. As gleaned from the table, the Phosphate results revealed that all

monitoring station met the DENR Water Quality Guideline of ≤0.5 mg/L for Class B water

classification.

Table 45. Phosphate Monitoring Data, CY 2019

STATION

I.D NAME OF STATION

Phosphate


ADA-3 Adams 3 - Sitio Anat (CLASS A) - <0.05 <0.05 <0.05 <0.05 <0.05 <0.05 <0.05 0.06 <0.0

5

0.07 <0.05

ADA-1 Poblacion, Adams, Ilocos Norte - <0.05 <0.05 <0.05 0.06 <0.05 <0.05 <0.05 <0.05 <0.0

5

<0.0

5 <0.05


(Downstream) - <0.05 <0.05 <0.05 <0.05 <0.05 <0.05 <0.05 <0.05

<0.0

5

<0.0

5 <0.05

DUM-1 Brgy. San Isidro (Midstream) - <0.05 <0.05 <0.05 <0.05 <0.05 <0.05 <0.05 <0.05 0.05 <0.0

5 <0.05


t Dry Dry 0.05 Dry <0.05 <0.05 <0.05

<0.0

5

0.05 <0.05

BAN-1


Lanao

(Downstream)

- <0.05 <0.05 <0.05 <0.05 <0.05 <0.05 <0.05 <0.05

<0.0

5

<0.0

5 <0.05



≤0.5 mg/L



≤0.5 mg/L

A.9. Chloride

Table 46 shows the annual CY 2019 monitoring data for the six (6) established monitoring stations of

the Bolo River System. As gleaned from the table, the Chloride results revealed that all monitoring

station met the DENR Water Quality Guideline of ≤250 mg/L for Class B water classification.

Table 46. Chloride Monitoring Data, CY 2019

STATION

I.D NAME OF STATION

Chloride


ADA-3 Adams 3 - Sitio Anat (CLASS A) - <10 <10 <10 <10 - <10 <10 <10 <10 <10 <10

ADA-1 Poblacion, Adams, Ilocos Norte - <10 <10 <10 <10 <10 <10 <10 <10 <10 <10 <10

PAG-1 Pancian, Pagudpud (Downstream) - <10 <10 <10 <10 <10 <10 <10 <10 <10 <10 <10

DUM-1 Brgy. San Isidro (Midstream) - <10 <10 <10 <10 <10 <10 <10 <10 <10 <10 <10


t Dry Dry <10 Dry <10 <10 <10 <10 <10 <10


(Downstream) - <10 <10 <10 <10 <10 <10 <10 <10 <10 <10 <10




≤250.0 mg/L



≤250.0 mg/L


A.10. Total Coliform

Table 47 illustrates the Monitoring Data of Total Coliform for CY 2017. As seen from the table, most

of the monitoring stations did not meet the DENR Water Quality Guideline for Class B water type.

Table 47. Total Coliform Monitoring Data, CY 2017

Station

ID NAME OF STATION

PARAMETER

GEOMEAN TOTAL COLIFORM

Jul Aug Sep Oct Nov

ADA-2 Poblacion, Adams, Ilocos Norte 800 24000 330 800 800 1323

ADA-1 Cabacan – Adams, Ilocos Norte 300 24000 3000 8000 1100 2856


BAN-2 Abang Falls 700 3000 900 1300 2200 1401

BAN-1 Caramuangin Bridge, Brgy.

Lanao (Downstream) 200 360 500 5000 500 618


Value for Class "B" Waters ≤1000 MPN/100mL

Table 48 shows the annual Monitoring Data of Total Coliform for CY 2018. As seen from the table,

the annual geometric mean of all monitoring stations except at stations ADA-3 and PAG-1 meet the

DENR water quality guideline of 1000 MPN/ 100 mL for Class B and Class A water classification.

Table 48. Total Coliform Monitoring Data, CY 2018


Station

ID Name of Station

Total Coliform

Feb Ma

r Apr May

Ju

n Jul Aug Sep Oct Nov Dec Geomean

ADA-3 Anat - Adams, Ilocos

Norte (CLASS A) - - - - - 460 490 9200

1700

0 330 <1.8 1634

ADA–

2

Cabacan – Adams,

Ilocos Norte - 790 48 2100 - 1300 460 790 3500 330 1700 749

ADA–

1

Poblacion, Adams,

Ilocos Norte - 130 330 3500 - 1300 790 2400 2400 79 23 490

PAG–

1

Pancian – Pagudpud,

Ilocos Norte - 330

130

0

3500

0 - - -- 9200 2400 170 1700 1919

DUM–

1

San Isidro – Dumalneg,

Ilocos Norte 170 130 110

1600

00 - 140 490 230 230 1100 2400 572

BAN–

2

Caramuangin – Bangui,

Ilocos Norte 170 170 33 490 - 330 700 490 1300 490 1700 377

BAN–

1

Abang Falls – Bangui,

Ilocos Norte 400 330 - - - 1300 940 790 790 790 <1.8 697


Value for Class "B" Waters ≤1000 MPN/ 100mL


Value for Class "A" Waters ≤1000 MPN/ 100mL


A.11. Fecal Coliform

Table 49 is the Fecal Coliform Monitoring Data for CY 2017. The recorded Geometric mean of the

Fecal Coliform parameter in CY 2017 indicated that all of the monitoring stations exceeded the their

respective DENR Water Quality Guideline Value for Class A and Class B water classification.

Table 49. Fecal Coliform Monitoring Data, CY 2017


PARAMETER

GEOMEAN FECAL COLIFORM

Jul Aug Sep Oct Nov

ADA-2 Poblacion, Adams, Ilocos Norte 800 2800 170 800 500 686

ADA-1 Cabacan – Adams, Ilocos Norte 300 24000 3000 5000 800 2440


BAN-2 Abang Falls 700 3000 300 800 1100 889


(Downstream) 200 340 170 3000 220 377

DENR Water Quality Guideline Value for Class

"B" Waters ≤100 MPN/ 100mL

DENR Water Quality Guideline Value for Class

"A" Waters ≤1.1 MPN/ 100mL

Results of the Fecal Coliform annual monitoring data is presented in Table 50, the Geometric mean of

the results for CY 2018 showed that three (3) out of the six (6) monitoring stations met the DENR

Water Quality Guideline for Class B waterbody of 100 MPN/ 100mL while station ADA-3 exceeded

the Water Quality Guideline Value of <1.1 MPN/ 100mL sample.



Statio

n

ID

Name of Station

Fecal Coliform

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Geomea

n

ADA-

3

Anat - Adams, Ilocos

Norte (CLASS A) - - - - - 130 130 140 11000 330 <1.8 158

ADA–

2

Cabacan – Adams,

Ilocos Norte - 220 7.8 610 - 2 49 280 1100 230 1700 132

ADA–

1

Poblacion, Adams,

Ilocos Norte - 79 33 400 - 46 280 280 94 49 23 90

PAG–

1

Pancian – Pagudpud,

Ilocos Norte - 170 110 9400 - - -- 350 2400 170 1700 637

DUM–

1

San Isidro –

Dumalneg, Ilocos

Norte

170 79 7.8 17000 - 13 94 79 79 490 2400 166

BAN–

2

Caramuangin –

Bangui, Ilocos Norte 79 22 4.5 110 - 4 330 230 1300 58 1700 90

BAN–

1

Abang Falls – Bangui,

Ilocos Norte 240 130 - - - 2 490 280 130 490 <1.8 75

DENR Water Quality

Guideline Value for Class "B"

Water Classification

≤100 MPN/ 100mL

DENR Water Quality

Guideline Value for Class "A"

Waters Classification

≤1.1 MPN/ 100mL



River System in CY 2019. As gleaned from the table, the Fecal Coliform results showed that most of

the stations for the monthly monitoring and the quarterly geometric mean did not meet their respective

Water Quality Guideline for Class A and B water classification.


STATIO

N

I.D

NAME OF STATION

Fecal Coliform

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Geomea

n

ADA-3 Adams 3 - Sitio Anat

(CLASS A) - 230 17 <8 78 13 <8 <8 <8 <8 <8 16


Norte - 490 790 1300

2400

0 49 4600 1700 130 230 230 708


(Downstream) - 2400 790 330 5400 46 2400 24000 79 230 230 720


(Midstream) - 490 490 490 5400 23 790 2400 140

220

0 490 578


t Dry Dry 5400 Dry 4600 5400 490 490 2200 2034

BAN-1


Lanao

(Downstream)

- 330 140 230 5400 230 2400 2400 79 120

0 1200 622


Value

for Class "B" Water Classification

≤100 MPN/ 100mL


Value

for Class "A" Waters Classification

≤1.1 MPN/ 100mL


A.12. Trace Metals

Table 52 shows the results of the heavy metal analysis on various sampling points of the Bolo River System in CY 2018 and CY 2019.

Table 52. Heavy Metal Monitoring Data for CY 2018 and CY 2019

Parameters

STATIONS DENR

Water

Quality

Guideline

for Class

A and B

Waters

(µg/L)

Pancian-

Pagudpud

Sitio Anat-

Adams

Poblacion, Adams,

Ilocos Norte

Caramuangin-

Bangui

Isidro-

Dumalneg

CY 2018 CY 2019 CY 2018 CY 2019 CY 2018 CY 2019 CY 2018 CY 2019 CY 2018 CY 2019

Arsenic <0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED) 0.05

Cadmium <0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED) 0.01

Chromium <0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED) 0.05

Copper <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 No

Guideline

Lead <0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED) 0.05

Zinc <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 No

Guideline

Mercury <0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED) 0.002


A.13. Inorganic Compounds

Table 53 shows the results of inorganic compounds monitoring data for CY 2018 and CY 2019.

Table 53. Inorganic Compounds Monitoring Data for CY 2018 and CY 2019

A.14. OrganoChlorine Pesticides (OCPs)

Table 54 shows the OrganoChlorine Pesticide Monitoring Data for CY 2018 and CY 2019. Results of

baseline monitoring reflected very low concentrations (not detected), below the DENR water quality

guideline for Class A and Class B waterbody. Results do not pose risk to the environment.

Table 54. OrganoChlorine Pesticide Monitoring Data, CY 2018 and 2019

Parameters

MONITORING STATIONS DENR Water

Quality Guideline

for Class A and B

Water (µg/L) Pancian-

Pagudpud

Sitio

Anat-

Adams

Poblacion,

Adams,

Ilocos

Norte

Caramuagin-

Bangui

Isidro-

Dumalneg

4,4’-DDD ND ND ND ND ND No Guideline

4,4’-DDE ND ND ND ND ND No Guideline

4,4’-DDT ND ND ND ND ND No Guideline

Aldrin ND ND ND ND ND No Guideline

Alpha-BHC ND ND ND ND ND No Guideline

Alpha Chlordane ND ND ND ND ND No Guideline

Beta-BHC ND ND ND ND ND No Guideline

Chlordane (tech) ND ND ND ND ND No Guideline

Delta-BHC ND ND ND ND ND No Guideline

Dieldrin ND ND ND ND ND No Guideline

Endosulfan I ND ND ND ND ND No Guideline

Endosulfan II ND ND ND ND ND No Guideline

Endosulfan

Sulfate ND ND ND ND ND No Guideline

Endrin ND ND ND ND ND No Guideline

Endrin Aldehyde ND ND ND ND ND No Guideline

Paramete

rs


Quality

Guideline for

Class A and B

Waters (µg/L)

Pancian-

Pagudpud

Sitio Anat-

Adams

Brgy. Poblacion,

Adams

Caramuangin-

Bangui

Isidro-

Dumalneg

CY

2018

CY

2019

CY

2018

CY

2019

CY

2018

CY

2019

CY

2018

CY

2019

CY

2018

CY

2019

Ammonia 0.008 0.008 1.3 1.1 <0.003 <0.00

3 0.07 0.06 0.04 0.04 No Guideline

Cyanide,

Free <0.02 <0.02

<0.0

2 <0.02 <0.05 <0.02 0.04

<0.0

2

<0.0

2 <0.02 0.05

Nitrate 1.7 1.2 2.1 1.3 <0.000

2

<0.00

02 1.1 0.9 0.1 0.1 10.0

Phosphate 0.1 0.1 0.2 0.2 <0.007 <0.00

7 0.09 0.08 0.07 0.06 0.4


Eldrin Ketone ND ND ND ND ND No Guideline

Gamma-BHC

(Lindane) ND ND ND ND ND No Guideline

Heptachlor ND ND ND ND ND No Guideline

Heptachlor

Epoxide ND ND ND ND ND No Guideline

Methoxychlor ND ND ND ND ND No Guideline

Toxaphene ND ND ND ND ND No Guideline

A.15. OrganoPhosphorous (OPPs) Compounds

Table 55 shows the OrganoPhosphorous Compounds Monitoring Data for CY 2018 and CY 2019.

Results of baseline monitoring reflected very low concentrations (not detected), below the DENR

water quality guideline for Class A and Class B waterbody. Results do not pose risk to the

environment.

Table 55. OrganoChlorine Pesticide Test Monitoring Data, CY 2018 & CY 2019

Parameters STATIONS DENR Water

Quality Guideline

for Class A and B

Waters (µg/L)

Pancian-

Pagudpud

Sitio

Anat-

Adams

Poblacion,

Adams,

Ilocos Norte

Caramuagin

-

Bangui

Isidro-

Dumalneg

Azinphosmethyl ND ND ND ND ND No Guideline

Bolstar ND ND ND ND ND No Guideline

Chlorpyrifos ND ND ND ND ND No Guideline

Coumaphos ND ND ND ND ND No Guideline

Demeton-O ND ND ND ND ND No Guideline

Diazinon ND ND ND ND ND No Guideline

Dichlorvos ND ND ND ND ND No Guideline

Disulfoton ND ND ND ND ND No Guideline

Ethoprop ND ND ND ND ND No Guideline

Fenchlorphos ND ND ND ND ND No Guideline

Fensulfothion ND ND ND ND ND No Guideline

Fenthion ND ND ND ND ND No Guideline

Malathion ND ND ND ND ND No Guideline

Merphos ND ND ND ND ND No Guideline

Methyl parathion ND ND ND ND ND No Guideline

Mervinphos ND ND ND ND ND No Guideline

Phorate ND ND ND ND ND No Guideline

Tetrachlorvinphos ND ND ND ND ND No Guideline

Tokuthion ND ND ND ND ND No Guideline

Trichloronate ND ND ND ND ND No Guideline


B. OPERATIONALIZATION OF WATER QUALITY MANAGEMENT AREAS

B.1. SINOCALAN-DAGUPAN RIVER SYSTEM – WATER QUALITY MANAGEMENT

AREA (SDRS-WQMA)

The Sinocalan-Dagupan River System (SDRS) Water Quality Management Area (WQMA) was

officially designated pursuant with DENR Administrative Order No. 11 series of 2014 dated

November 23, 2011. The Sinocalan-Dagupan River System Water Quality Management Area (SDRS-

WQMA) covers the Municipalities of Binalonan, Sta. Barbara, Mangaldan, Malasiqui, Calasiao and

Binmaley; and the Cities of Urdaneta, San Carlos and Dagupan.

The Sinocalan-Dagupan River System Water Quality Management Area falls inside geographical

coordinates of 120º15’06.9” and 120º37’54.2º east longitudes and 15º50’54.1º and 16º05’54.3” north

latitude. The whole WQMA has a total area of 90,238 hectares. Drainage area is approximately 720

square kilometers with a length of 65 km and varying width of 8.14 meters to 198 meters.

There are three hundred and forty-three (343) barangays within the SDRS with a total population of

1,044,161 based on the 2015 Survey of the National Statistics Office.

The headwater of Sinocalan/Dagupan River system originates from one of the mountainous areas of

San Manuel, Pangasinan. Its upstream location is in Binalonan, Pangasinan, in the north east, while

the downstream portions are in Dagupan City and Binmaley, in the north west.

The annual averages for the parameters pH, DO, BOD and TSS revealed that the water quality from

CY 2014 to CY 2019 met their respective DENR Water Quality Guidelines for Class C water

classification.

The CY 2019 annual averages and monthly monitoring data for the parameters Color, Nitrate,

Phosphate and Chloride revealed that all monitoring stations met their respective DENR Water

Quality Guideline for Class C water classification.

The comparison of the geometric mean for Fecal Coliform from all monitoring stations of the SDRS

WQMA from CY 2014 to CY 2018 recorded that the Geometric mean of the results of monitoring for

CY 2014 showed that all eleven (11) monitoring stations exceeded the DENR Water Quality

Guideline for Class C waters of 200 MPN/100ml. In CY 2015, the results of Fecal Coliform shows

that all monitoring stations did not meet the water quality guideline, although the annual geometric

mean of the monitoring displayed better results as compared to the results obtained in CY 2014, the

monitoring results in CY 2016 revealed that all monitoring stations still did not meet the DENR Water

Quality Guideline with ten (10) monitoring stations showing an increase in Fecal Coliform

concentration, with only the NAG-4 Batan station in NRS showing an improvement in water quality.

The annual Geometric mean for CY 2017, CY 2018 and CY 2019 recorded that all stations exceeded

the DENR Water Quality Guideline.

For the parameters Heavy Metals and Inorganic Compounds for CY 2018 and CY 2019, the

monitoring data revealed that all representative stations met and are far within their corresponding

DENR Water Quality Guidelines. Moreover, the presence or traces of OrganoChlorine Pesticides

(OCPs) and OrganoPhosphorous Pesticides (OPPs) were not detected for all representative stations of

the SDRS-WQMA.

Using the available data on domestic, industrial, livestock and non-point sources of pollution of the

SDRS-WQMA from the Approved Comprehensive Land Use Plan (CLUP) of Dagupan City from CY

2015-2025 and data from the Environmental Monitoring and Enforcement Division (EMED) and

Clearance and Permitting Division (CPD) of EMB-I, pollution load estimation of the water body was

assessed for the parameters BOD, Total Nitrate, Total Phosphorous and Chemical Oxygen Demand

and Total Suspended Solids.


The pollution load estimate is categorized based on the source (Domestic, Industrial, Livestock and

Non-Point Sources (NPS). Based on the total pollution load estimation of the Dagupan River,

domestic sources yield the highest source of pollution load for the parameters BOD, TN, TP and TSS

since majority of the area traversed by the Dagupan River and its triburtaries is classified as

residential zones while the Industrial Sources have the least amount of pollution contribution among

the Pollution Source Categories. No data was recorded for the Livestock Source since there are no

identified piggery farms, poultry farms or even grazing animals within the coverage of the Dagupan

River.

To effectively protect, preserve and sustain the SDRS-WQMA, EMB-I prioritized the adoption of the

esteros, creeks and tributaries within the Sinocalan-Dagupan River System. EMB-I has an on-going

assessment of four (4) adopted esteros namely: Arellano Creek, Herrero Creek, Mariposa Creek and

Jose Calimlim Creek which are located within the Central Business District of Dagupan City. These

creeks finally drain into Dagupan River, which is downstream of the Sinocalan Dagupan River

System Water Quality Management Area. A total of thirteen (13) rivers and three (3) creeks were

adopted within the SDRS-WQMA.

WATER QUALITY MONITORING OF THE SINOCALAN-DAGUPAN RIVER SYSTEM

In compliance and as prescribed by DENR Department Administrative Order No. 8 series of 2016

entitled Water Quality Guidelines and General Effluent Standards, Regional Offices are required to

monitor the ten (10) Primary Parameter as indicated in Table 3 of the said Order and Section 6.3.a

states that Annual Average of at least ten (10) data set for the primary parameters except Fecal

Coliform, namely: Biochemical Oxygen Demand (BOD), Chloride, Color, Dissolved Oxygen (DO),

Nitrate as NO3 -N, Potential of Hydrogen (pH), Phosphate, Temperature and Total Suspended Solids

and section 6.3.c states that Geometric Mean of at least Three data set per quarter for Fecal Coliform.

Thus, this region reduced the monitoring stations from twenty-two (22) to seventeen (17) monitoring

stations. Table 27 presents the twenty-two (22) monitoring stations of the SDRS-WQMA. Highlighted

in red are the stations that were no longer continued to be monitored as of January 2019 due to the

above-stated reasons.


Table 56. Monitoring Stations

Stations Locations City/Municipality GPS Location

Latitude Longitude

BIN – 1 CP Primicias Bridge Binalonan 16º04’66.4”N 120º59’67.4”E

SIN – 1 Macalong Bridge Urdaneta City 15º97’65.3”N 120º57’09.5”E

SIN – 2 Mabanogbog Bridge Urdaneta City 15º97’48.1”N 120º55’29.7”E

SIN – 3 Cafloresan Bridge Urdaneta City 15º97’84.8”N 120º54’17.3”E

PIN – 1 Pinmalodpod Urdaneta City 15º98’18.6”N 120º53’54.0”E

VIL – 1 Villamil Bridge Urdaneta City 15º97’60.1”N 120º49’45.4”E

SIN – 4 Banaoang Bridge Santa Barbara 15º99’59.9”N 120º43’05.3”E

SIN – 5 Maramba Bridge Santa Barbara 16º00’53.4”N 120º40’26.6”E

MAL – 1 Bogtong Bridge Malasiqui 15º94’87.7”N 120º40’13.2”E

SN – 1 San Juan Bridge San Carlos City 15º91’54.9”N 120º33’01.6”E

CAL – 1 Dinalaoan Bridge Calasiao 16º00’52.4”N 120º34’94.7”E

CAL – 2 San Vicente Bridge Calasiao 16º00’91.1”N 120º34’82.9”E

DW – 1 Dawel Bridge Dagupan City 16º05’90.6”N 120º33’97.5”E

DAG – 1 Magsaysay Bridge Dagupan City 16º04’18.2”N 120º34’11.7”E

DAG – 2 Pantal – Calmay Dagupan City 16º04’53.3”N 120º32’73.9”E

BY – 1 Manat Bridge Binmaley 16º01’15.8”N 120º28’38.6”E

BY – 2 Gayaman Bridge Binmaley 16º01’13.4”N 120º30’26.6”E

BY – 3 Gumapos Bridge Binmaley 16º02’74.7”N 120º27’01.9”E

MANG – 1 Paldakit Bridge Mangaldan 16º04’85.8”N 120º37’06.2”E

SIN-1A Dilan-Paurido Urdaneta City 15º58'36.14"N 120º34'59.72"E

SC-2 Calomboyan San Carlos City 16º2'43.53"N 120º21'30.68"E

DAG-3 Bayaoas Dagupan City 15º56'46.95"N 120º18'21.09"E

The results of the water quality monitoring of the seventeen (17) monitoring stations in the Sinocalan

Dagupan River System Water Quality Management Area for 2019 are to wit:

B.1.1. Potential of Hydrogen (pH)

Table 57 shows the pH annual Monitoring Data for CY 2019. The monitoring data for CY 2019

revealed that all except SC-1 station in May and SIN-3, VIL-1, SIN-1A, SIN-4, SIN-5, MAL-1,SC-1,

DW-1, DAG-2, DAG-3, BY-1, BY-3 and MANG-1 in June met the DENR Water Quality Guideline

of 6.5-9.0 pH range. Moreover, the annual average for all stations met the DENR Water Quality

Guideline. Figure 23 shows the graphical presentation of Potential of Hydrogen (pH) data for CY

2019. VIL-1 and SC-1 stations were not monitored in the First Quarter, VIL-1 and MAL-1 in the

Second Quarter due to stagnancy of the monitoring station.



Station

ID Name of Location

Poetential of Hydrogen (pH)

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Min Max Ave.

BIN – 1 CP Primicias - Binalonan 8.0 8.2 8 7.90 8.10 8.75 7.90 7.80 7.40 7.00 7.39 7.0 8.75 7.86

SIN – 1 Macalong – Urdaneta City 7.6 7.8 7.7 7.70 7.70 7.90 7.70 7.50 7.40 7.10 7.58 7.1 7.90 7.61

SIN – 3 Caflorescan – Urdaneta

City 7.6 7.7 7.7 7.60 7.70 10.35 7.50 7.60 7.10 7.20 6.66 6.7 10.35 7.70

VIL – 1 Villamil– Urdaneta City 7.6 - 7.7 7.50 - 11.03 7.60 7.60 7.20 7.30 7.44 7.2 11.03 7.89

SIN-1A Dilan-Paurido, Urdaneta

City 7.9 7.7 7.9 7.90 7.80 9.24 7.60 7.60 7.40 7.20 7.47 7.2 9.24 7.79

SIN – 4 Banaoang – Sta. Barbara 8.1 8.2 8 8.20 8.30 10.46 7.70 7.60 7.20 7.50 7.43 7.2 10.46 8.06

SIN – 5 Maramba – Sta. Barbara 8.1 8.3 8.2 8.30 8.50 11.02 7.70 7.60 7.10 7.60 7.34 7.1 11.02 8.16

MAL –

1 Bogtong – Malasiqui 7.9 8 8 7.70 - 10.30 7.60 7.60 6.60 7.50 -- 6.6 10.30 7.91

SC – 1 San Juan – San Carlos

City 8.4 8.2 - 8.40 9.10 9.38 8.00 7.60 6.60 7.60 7.40 6.6 9.38 8.07

SC-2 Calomboyan-San Carlos

City 8.0 7.6 7.7 7.70 7.90 8.96 7.40 7.40 6.70 7.60 7.16 6.7 8.96 7.65

CAL –

1 Dinalaoan - Calasiao 8.2 8.1 7.7 8.20 8.20 8.05 7.50 7.40 6.80 7.40 7.09 6.8 8.20 7.69

DW – 1 Dawel – Dagupan City 7.8 7.6 7.8 7.80 8.40 9.68 8.00 7.40 7.40 7.20 6.61 6.6 9.68 7.79

DAG –

2

Magsaysay – Dagupan

City 8.0 8 8 8.00 8.30 10.41 8.00 7.70 7.30 7.80 7.50 7.3 10.41 8.09

DAG-3 Bayaoas-Dagupan City 7.5 7.7 7.7 7.60 8.00 10.71 7.60 7.60 7.20 7.70 7.32 7.2 10.71 7.88

BY – 1 Manat-Binmaley 7.8 7.4 7.5 7.50 7.70 11.38 7.50 7.50 7.50 7.80 7.28 7.3 11.38 7.90

BY – 3 Gumapos – Binmaley 7.8 7.5 7.5 7.60 8.00 10.47 7.30 7.40 7.60 7.70 7.36 7.3 10.47 7.84

MANG

– 1 Paldakit – Mangaldan 7.9 7.6 - 7.80 7.90 9.38 7.50 7.50 7.10 8.10 7.44 7.1 9.38 7.82


Value for Class " C " Water

Classification

6.5-9.0


(-) stagnant river bed

(--) Water quality monitoring was not conducted


Table 58 shows the comparison of six (6) years annual averages for pH from CY 2014 to CY 2019.

As gleaned from the table, the six years annual averages for pH revealed that all stations met the

DENR Water Quality Guideline of 6.5- 9.0 pH ranges. Figure 24 shows the graphical presentation of

the six (6) years annual averages for pH.

Table 58. Comparison of six (6) years annual averages for Potential of Hydrogen (pH)

Stations Locations


CY 2014 CY

2015

CY

2016 CY 2017

CY

2018

CY

2019

BIN – 1 Primicias - Binalonan 7.5 7.1 6.9 7.5 7.9 7.86

SIN – 1 Macalong – Urdaneta City 7.2 7.0 6.3 7.5 7.3 7.61

SIN – 2 Mabanogbog – Urdaneta

City 7.4 7.5 6.3 7.5 7.3 -

SIN – 3 Caflorescan – Urdaneta City 6.9 7.0 6.6 7.5 7.3 7.70

PIN – 1 Pinmaludpod- Urdaneta City 7.3 7.1 6.5 7.6 7.0

VIL – 1 Villamil– Urdaneta City 7.2 7.6 6.8 7.8 7.2 7.89

SIN-1A Dilan-Paurido, Urdaneta

City 7.4 7.4 7.5 7.79

SIN – 4 Banaoang – Sta. Barbara 7.0 7.2 6.5 7.9 7.8 8.06

SIN – 5 Maramba – Sta. Barbara 7.1 6.9 6.5 7.9 7.6 8.16

MAL – 1 Bogtong – Malasiqui 7.4 7.0 6.4 - 7.4 7.91

SC – 1 San Juan – San Carlos City 7.3 7.2 6.3 7.8 7.5 8.07

SC-2 Calomboyan-San Carlos City 7.5 7.5 7.4 7.65

CAL – 1 Dinalaoan - Calasiao 7.5 7.4 6.6 7.2 7.4 7.69

CAL – 2 San Vicente – Calasiao 7.5 7.0 6.7 7.9 7.5 -

DW – 1 Dawel – Dagupan City 8.0 6.8 7.1 7.6 7.7 7.79

DAG – 1 Calmay – Dagupan City 7.6 6.8 6.6 7.8 7.7 -

DAG – 2 Magsaysay – Dagupan City 7.1 6.5 6.9 8.0 7.6 8.09

DAG-3 Bayaoas-Dagupan City 7.7 7.7 7.4 7.88

BY – 1 Manat-Binmaley 7.3 7.0 6.8 7.7 7.5 7.90

BY – 2 Gayaman – Binmaley 6.9 7.0 6.9 7.9 7.8 -

BY – 3 Gumapos – Binmaley 7.0 6.8 6.7 7.8 8.0 7.84

MANG –

1 Paldakit – Mangaldan 7.6 7.3 6.6 8.0 7.4 7.82


for Class "C" Water Classification 6.5-9.0


ENVIRONMENT 2019 73

B.1.2. Dissolved Oxygen

Table 59 shows the Dissolved Oxygen Monitoring Data for CY 2019. The monitoring data for CY

2019 revealed that all except stations DW-1, DAG-3, BY-1, BY-3 AND MANG-1 in February;

station BY-3 in March; stations VIL-1, MAL-1 and MANG-1 in April; stations SIN-1, SIN-3, and

SC-2 in May; stations SIN-1, SIN-3, MAL-1 and SC-2 in June; stations MAL-1, CAL -1, DAG-3,

BY-1, BY-3 AND MANG-1 in July; stations SC-2, CAL-1, DAG-3 and MANG-1 in August; station

DW-1 in September; stations VIL-1, CAL-1 and DAG-3 in October and; stations VIL-1, SIN-1A, SC-

2, CAL-1, DW-1, BY-1 and MANG-1 in November met the DENR Minimum Requirement of 5

mg/L. Moreover, the annual average for all except stations VIL-1 and MANG-1 met the DENR Water

Quality Guideline.

Table 59. Dissolved Oxygen Monitoring Data, CY 2019

Station

ID

Name of

Location

Dissolved Oxygen

Ja

n

Fe

b

Ma

r

Ap

r

Ma

y Jun Jul

Au

g

Se

p

Oc

t Nov

Mi

n

M

ax Ave.

BIN – 1 CP Primicias -

Binalonan 9.4 7.8 7.5 8 8 7 7.5 7.6 9.2 6.7 7.32 6.7 9.4 7.8

SIN – 1 Macalong –

Urdaneta City 6.7 5.8 6.5 5 4 4 6.0 6.2 7.0 6.4 5.89 4 7.0 5.8

SIN – 3 Caflorescan –

Urdaneta City 6.6 6.2 6.2 5 4 4 5 7.1 6.0 6.6 6.74 4

6.7

4 5.8

VIL – 1 Villamil–

Urdaneta City 5.9 - 5 3 - 5 5 5.8 6.6 3.8 3.17 3 6.6 4.8

SIN-1A Dilan-Paurido,

Urdaneta City 8.0 5.2 7.4 7 6 6 6.6 7.1 7.8 7.5 3.82

3.8

2 8.0 6.6

SIN – 4 Banaoang –

Sta. Barbara 8.6 7.7 7.3 7 7 7 6.6 6.8 7.2 6.7 6.43

6.4

3 8.6 7.1

SIN – 5 Maramba –

Sta. Barbara 8.4 7.8 8.6 8 8 7 7.4 7.1 7.0 7.0 7.03

7.0

3 8.6 7.5

MAL –

1

Bogtong –

Malasiqui 6.9 6.5 6.5 4 - 4 4.4 5.7 6.2 5.5 - 4 6.9 5.6

SC – 1

San Juan –

San Carlos

City

9.6 5.7 - 6 8 8 7.5 5.8 5.7 6.4 5.43 5.4

3 9.6 6.8

SC-2

Calomboyan-

San Carlos

City

9.1 6.6 6.8 5 3 4 5.6 4.6 5.8 5.2 3.60 3 9.1 5.4

CAL –

1

Dinalaoan -

Calasiao 8.3 7.1 5.4 7 10 6 3.4 4.2 5.7 3.6 3.80 3.4 8.3 5.8

DW – 1 Dawel –

Dagupan City 6.1 3.7 6.6 5 8 5 5.9 5.2 4.5 5.3 3.97 4.5 8 5.3

DAG –

2

Magsaysay –

Dagupan City 7.4 6.9 7.2 6 19 6 5.9 6.4 6.3 6.5 6.70 5.9 19 7.6

DAG-3 Bayaoas-

Dagupan City 5.3 4.9 5.1 5 17 5 3.6 4.9 5.1 4.7 5.08 3.6 17 5.9

BY – 1 Manat-

Binmaley 6.9 4.5 5.1 5 8 5 3.4 5.2 6.9 6.3 4.16 3.4 6.9 5.5

BY – 3 Gumapos –

Binmaley 6.0 4.3 4.8 5 6 5 4.3 5.8 6.6 6.3 6.54 4.3 6.6 5.5

MANG

– 1

Paldakit –

Mangaldan 6.4 4.1 - 3 6 3 2.6 4.1 3.8 8.1 4.36 2.6 8.1 4.6

DENR Water Quality

Guideline Value for Class

" C " Water

Classification

5 mg/L


ENVIRONMENT 2019 74

(-) Dried-up river bed


ENVIRONMENT 2019 75

Table 60 shows the comparison of six (6) years annual averages for DO from CY 2014 to CY 2019.

Table 60. Comparison of six (6) years annual average data for Dissolved Oxygen

Stations Locations

Dissolved Oxygen

CY 2014 CY

2015

CY

2016

CY

2017

CY

2018

CY

2019

BIN – 1 Primicias - Binalonan 7 7 7 6.9 7.3 7.8

SIN – 1 Macalong – Urdaneta City 6 7 6 4.4 6.2 5.8

SIN – 2 Mabanogbog – Urdaneta City 5 6 5 4.6 5.5 -

SIN – 3 Caflorescan – Urdaneta City 5 7 5 4.7 6.0 5.8

PIN – 1 Pinmaludpod- Urdaneta City 7 7 7 5.3 5.8 -

VIL – 1 Villamil– Urdaneta City 6 6 6 5.5 5.7 4.8

SIN-1A Dilan-Paurido, Urdaneta City - - 7.0 6.4 7.3 6.6

SIN – 4 Banaoang – Sta. Barbara 6 7 6 6.8 6.9 7.1

SIN – 5 Maramba – Sta. Barbara 7 6 7 7.0 7.2 7.5

MAL – 1 Bogtong – Malasiqui 4 5 5 s 5.8 5.6

SC – 1 San Juan – San Carlos City 6 7 7 6.5 5.5 6.8

SC-2 Calomboyan-San Carlos City - - 6 5.5 5.0 5.4

CAL – 1 Dinalaoan - Calasiao 5 7 6 2.2 5.2 5.8

CAL – 2 San Vicente – Calasiao 6 7 7 6.2 5.7 -

DW – 1 Dawel – Dagupan City 4 5 5 5.3 6.1 5.3

DAG – 1 Calmay – Dagupan City 5 7 5 5.3 6.2 -

DAG – 2 Magsaysay – Dagupan City 5 7 6 6.2 6.4 7.6

DAG-3 Bayaoas-Dagupan City - - 6 5.2 5.0 5.9

BY – 1 Manat-Binmaley 5 6 7 5.6 5.6 5.5

BY – 2 Gayaman – Binmaley 6 7 7 6.0 6.4 -

BY – 3 Gumapos – Binmaley 5 7 6 5.6 7.1 5.5

MANG – 1 Paldakit – Mangaldan 4 6 6 4.7 4.5 4.6


for Class "C" Water Classification 6.5-9.0


ENVIRONMENT 2019 76

B.1.3. Biochemical Oxygen Demand

Table 61 shows the annual Biochemical Oxygen Demand Monitoring Data for CY 2019. The

monitoring data for CY 2019 revealed that all except stations VIL-1, MAL-1, SC-1, DW-1, BY-3 and

MANG-1 in April; stations SIN-3 and MANG-1 in June; stations SIN-3, VIL-1, MAL-1, SC-2, CAL-

1, DAG-3, BY-1 and MANG-1 in July; station MANG-1 in September; stations VIL-1 and CAL-1 in

October met the DENR Water Quality Guideline of 7 mg/L. Moreover, the annual average for all

except station MANG-1 met the DENR Water Quality Guideline.

Table 61. Biochemical Oxygen Demand Monitoring Data, CY 2019

Station

ID

Name of

Location

Biochemical Oxygen Demand

Ja

n

Fe

b

M

ar

Ap

r

M

ay Jun Jul Aug Sep Oct

Mi

n

Ma

x

Av

e.

BIN –

1

CP Primicias -

Binalonan 1 1 2 1 - 3 1 1 1 2

1 3 2


Urdaneta City 3 2 2 7 - 4 4 2 2 2

2 7 3


Urdaneta City 4 1 4 5 - 8 13 2 7 2

1 13 5


Urdaneta City 5 - 4 14 - 5 12 1 5 11

1 14 7

SIN-1A

Dilan-

Paurido,

Urdaneta City

2 2 3 4 - 4 3 1 2 2

1 4 3


Sta. Barbara 2 1 1 3 - 2 2 1 3 2

1 3 2


Sta. Barbara 2 1 1 3 - 1 3 1 2 2

1 3 2

MAL –

1

Bogtong –

Malasiqui 2 1 1 9 - 2 8 2 2 3

1 9 3

SC – 1

San Juan –

San Carlos

City

4 5 - 7 - 5 4 3 4 3

3 7 4

SC-2

Calomboyan-

San Carlos

City

3 1 2 6 - 3 12 1 2 5

1 12 4

CAL –

1

Dinalaoan -

Calasiao 2 2 2 3 - 3 13 1 3 10

1 13 4

DW – 1 Dawel –

Dagupan City 5 3 4 11 - 5 4 2 3 4

2 11 5

DAG –

2

Magsaysay –

Dagupan City 2 3 2 4 - 2 3 1 3 1

1 3 2

DAG-3 Bayaoas-

Dagupan City 7 1 2 6 - 6 13 1 4 4

1 13 5

BY – 1 Manat-

Binmaley 5 2 4 8 - 7 12 2 3 5

2 12 5


Binmaley 4 1 5 9 - 5 2 3 2 3

1 9 4

MANG

– 1

Paldakit –

Mangaldan 7 1 - 18 - 11 47 3 10 7

1 47 13

DENR Water Quality

Guideline for Class " C

" Water Classification

7



ENVIRONMENT 2019 77



Table 62 shows the comparison of six (6) years annual averages for Biochemical Oxygen Demand from CY 2014 to CY 2019. Figure 28 shows the graphical

presentation of the six (6) years annual averages for BOD.

Table 62. Comparison of six (6) years annual average data for Biochemical Oxygen Demand

Stations Locations Biochemical Oxygen Demand

CY 2014 CY 2015 CY 2016 CY 2017 CY 2018 CY 2019

BIN – 1 Primicias - Binalonan 3 4 2 4 3 2

SIN – 1 Macalong – Urdaneta City 4 5 3 12 4 3

SIN – 2 Mabanogbog – Urdaneta City 5 5 4 8 4 5

SIN – 3 Caflorescan – Urdaneta City 4 5 4 9 3 7

PIN – 1 Pinmaludpod- Urdaneta City 5 4 2 4 3 3

VIL – 1 Villamil– Urdaneta City 5 7 4 6 6 2

SIN-1A Dilan-Paurido, Urdaneta City - - 2 3 3 2

SIN – 4 Banaoang – Sta. Barbara 4 3 4 3 4 3

SIN – 5 Maramba – Sta. Barbara 4 6 2 3 3 4

MAL – 1 Bogtong – Malasiqui 5 6 9 - 3 4

SC – 1 San Juan – San Carlos City 8 5 5 5 7 4

SC-2 Calomboyan-San Carlos City - - 5 9 4 5

CAL – 1 Dinalaoan - Calasiao 8 9 5 15 5 2

CAL – 2 San Vicente – Calasiao 6 4 2 4 4 5

DW – 1 Dawel – Dagupan City 4 4 9 6 3 5

DAG – 1 Calmay – Dagupan City 3 4 5 4 3 4

DAG – 2 Magsaysay – Dagupan City 3 5 2 3 5 13

DAG-3 Bayaoas-Dagupan City - - 8 3 4 2

BY – 1 Manat-Binmaley 7 5 3 4 7 3

BY – 2 Gayaman – Binmaley 4 6 4 5 5 5

BY – 3 Gumapos – Binmaley 6 3 4 5 3 7

MANG – 1 Paldakit – Mangaldan 5 8 5 5 9 3


for Class "C" Water Classification 7


ENVIRONMENT 2019 79

B.1.4. Color

Based on the tabulated annual monitoring data for CY 2019 in Table 63, all stations met the

maximum Color requirement of 75 TCU. The Color values range from 5 TCU to 15 TCU.


Station

ID

Name of

Location

Color

Ja

n

Fe

b

Ma

r

Ap

r

Ma

y Jun Jul

Au

g Sep Oct Nov

Mi

n

Ma

x

Av

e.

BIN –

1

CP Primicias

- Binalonan 5 5 5 5 5 5 5 5 5 5 5 5 5 5


Urdaneta City 10 15 10 10 15 20 15 15 20 10 20 10 20 15


Urdaneta City 10 10 10 10 15 15 20 15 15 10 20 10 20 14

VIL –

1

Villamil–

Urdaneta City 5 - 20 30 - 30 20 20 25 20 25 5 30 22

SIN-

1A

Dilan-

Paurido,

Urdaneta City

5 10 10 10 15 30 15 10 20 10 10 5 30 13


Sta. Barbara 5 5 10 10 5 15 15 10 10 5 10 5 15 9


Sta. Barbara 5 5 5 5 5 15 15 10 10 56 10 5 56 13

MAL –

1

Bogtong –

Malasiqui 15 15 15 40 - 25 10 20 25 10 - 10 40 19

SC – 1

San Juan –

San Carlos

City

15 15 - 20 20 25 20 25 30 25 25 15 25 22

SC-2

Calomboyan-

San Carlos

City

20 20 15 20 15 15 10 25 25 25 30 15 20 20

CAL –

1

Dinalaoan -

Calasiao 5 15 15 10 10 20 20 20 25 15 15 5 20 15

DW –

1

Dawel –

Dagupan City 5 10 15 5 5 5 10 15 20 10 15 5 20 10

DAG –

2

Magsaysay –

Dagupan City 5 5 5 10 5 20 15 15 15 10 10 5 15 10

DAG-3 Bayaoas-

Dagupan City 10 10 15 15 10 15 15 20 20 20 20 10 20 15

BY – 1 Manat-

Binmaley 5 10 10 10 10 10 10 20 15 15 20 5 20 12


Binmaley 5 10 10 15 10 10 10 25 10 15 15 5 25 12

MANG

– 1

Paldakit –

Mangaldan 20 25 - 50 25 25 31 30 30 30 40 20 50 31

DENR Water Quality

Guideline for Class "

C " Water

Classification

75

(-) Water quality monitoring was not conducted

(--) Water quality monitoring was not conduct


ENVIRONMENT 2019 80

B.1.5. Temperature

Tables 64 shows the Temperature monitoring data for Class C Water Classification. Several


due to the intense climatic temperature of the stations causing the relatively warm ambient results for

the said parameter.

Table 64. Temperature Annual Monitoring Data, CY 2019

Station

ID

Name of

Location

Temperature

Jan Feb Mar Apr May Jun Jul Aug Sep

Oct

-

Dec

Min Max Ave

.


Binalonan

24.

82

31.9

4

28.7

3

33.3

8

29.7

2

32.5

9

29.1

7

31.4

9

25.5

0 --

24.8

2

33.3

8

29.

70


Urdaneta City

25.

7

31.9

4 28.3

30.9

5

30.2

4

31.9

7

28.9

5

29.6

2

25.6

7

-- 25.7

31.9

7

29.

26


Urdaneta City

24.

54

27.8

8

27.7

8

31.2

3

29.5

9 32

28.6

8

30.0

6

25.6

5

-- 24.5

4 32

28.

60


Urdaneta City

24.

54

28.5

2

28.5

9

30.1

6

31.2

9

31.0

6

29.4

5

29.6

0

25.7

2

-- 24.5

4

31.2

9

28.

77


Urdaneta City

27.

24 -

28.4

5

31.0

4 -

31.4

5

29.4

4

29.6

9

25.9

0

-- 25.9

0

31.4

5

29.

03


Sta. Barbara

27.

74

29.9

5

29.6

5

30.4

5

31.7

8

31.3

1

29.7

7

29.2

3

26.0

5

-- 27.7

4

31.7

8

29.

55


Sta. Barbara -

28.2

2

29.0

9

31.2

6 30.1

31.1

2

29.9

7

29.9

1

26.1

9

-- 26.1

9

31.2

6

29.

48

MAL –

1

Bogtong –

Malasiqui

28.

88

28.0

7

28.6

9

31.3

9 -

32.7

2

30.4

4

29.3

4

26.4

8

-- 26.4

8

32.7

2

29.

50

SC – 1

San Juan –

San Carlos

City

27.

42

28.1

5 -

30.8

5

30.3

9

32.1

2

30.8

2

29.9

5

26.9

1

-- 27.4

2

32.1

2 29.

58

SC-2

Calomboyan-

San Carlos

City

29.

49

28.8

8 32.8 31.4

34.2

5

32.7

2

30.8

0

29.7

8

26.6

2

-- 26.6

2 32.8 30.

75

CAL –

1

Dinalaoan -

Calasiao

27.

65

29.5

2

30.9

6 -

33.2

6

32.9

4

30.5

3

29.6

1

26.5

1

-- 26.5

1

33.2

6

30.

12

DW – 1 Dawel –

Dagupan City

26.

61

25.5

1 -

30.3

6

32.3

4

31.1

3

29.2

0

27.5

9

26.7

9

-- 25.5

1

32.3

4

28.

69

DAG –

2

Magsaysay –

Dagupan City

27.

86

25.6

9

30.2

9

31.1

5

32.4

1 30

30.6

7

29.1

7

27.2

3

-- 25.6

9

32.4

1

29.

39

DAG-3 Bayaoas-

Dagupan City

27.

07

25.4

6

32.5

5

31.1

9

30.5

6

31.6

5

30.6

8

28.8

7

26.9

3

-- 25.4

6

32.5

5

29.

44

BY – 1 Manat-

Binmaley

27.

66

26.2

9

30.3

2

30.9

2

30.5

3

31.4

3

30.5

0

29.1

7

26.5

4

-- 26.2

9

31.4

3

29.

26


Binmaley

28.

39

26.7

1

32.1

5

31.7

5 33.5

33.0

3

32.0

4

29.9

2

26.6

3

-- 26.6

3 33.5

30.

46

MANG

– 1

Paldakit –

Mangaldan

27.

37

28.3

2

32.0

3

30.9

4 32.5

33.1

3

31.6

6

29.3

2

26.3

5

-- 26.3

5

33.1

3

30.

18

DENR Water Quality

Guideline for Class " C "


26-31


(--) Water quality monitoring was not conducted due to breakdown of the water quality checke


ENVIRONMENT 2019 81

B.1.6. Nitrate

Table 65 shows the Nitrate monitoring data for CY 2019. As gleaned from the table, the Nitrate

results revealed that all except station BIN-1 met the DENR Water Quality Guideline of ≤7 mg/L for

Class C water classification. Figure 31 shows the Graphical Presentation of Nitrate Data for the CY

2019.


Station

ID

Name of

Location

Nitrate

Ja

n

Fe

b

Ma

r

Ap

r

Ma

y Jun Jul

Au

g Sep Oct Nov

Mi

n Max

Ave

.


Binalonan 1 1 2

0.2

4

0.4

2

0.5

6 0.37

0.3

3 0.27 93 - -

0.2

4 93 10


Urdaneta City 3 2 2

0.2

2

0.2

0

0.4

6 0.17

0.3

6 0.30 0.46 - -

0.1

7 3 1


Urdaneta City 4 1 4

0.5

4

0.4

7

0.6

6 0.30

0.7

0 0.52 0.70 - -

0.3

0 4 1


Urdaneta City 5 - 4

0.4

9 -

0.3

7 0.33

0.4

2 0.19 0.77 0.26

0.1

9 5 1


Urdaneta City 2 2 3

0.1

9

0.1

4

0.2

8 0.12

0.4

0 0.25 0.33 - -

0.1

2 3 1


Sta. Barbara 2 1 1

0.3

2

0.2

7

0.4

1 0.32

0.5

3 0.37 0.52 - -

0.2

7 2 1


Sta. Barbara 2 1 1

0.3

3

0.2

5

0.4

0 0.37

0.5

3 0.39 0.56 - -

0.2

5 2 1

MAL –

1

Bogtong –

Malasiqui 2 1 1

0.1

7 -

0.2

4 0.24

0.4

7 0.12 0.69 - -

0.1

2 2 1

SC – 1 San Juan – San

Carlos City 4 5 -

0.0

5

0.0

5

0.0

7 0.05

0.2

3 0.09 0.09 0.10

0.0

5 5 1

SC-2

Calomboyan-

San Carlos

City

3 1 2 0.1

2

0.1

4

0.0

8 0.20

0.2

8 0.10 0.15 - -

0.0

8 3 1

CAL –

1

Dinalaoan -

Calasiao 2 2 2

0.3

5

0.1

9

0.3

0 0.08

0.2

9 0.15 0.28 - -

0.0

8 2 1

DW – 1 Dawel –

Dagupan City 5 3 4

0.0

5

0.0

5

0.0

5 0.05

0.1

4 0.06 0.05 - -

0.0

5 5 1

DAG –

2

Magsaysay –

Dagupan City 2 3 2

0.2

8

0.2

8

0.3

7 0.22

0.4

1 0.21 0.49 - -

0.2

1 3 1

DAG-3 Bayaoas-

Dagupan City 7 1 2

0.0

5

0.0

5

0.0

5 0.05

0.1

6 0.14 0.05 - -

0.0

5 7 1

BY – 1 Manat-

Binmaley 5 2 4

0.0

5

0.0

5

0.0

5 0.05

0.0

6 0.16 0.05 - -

0.0

5 5 1


Binmaley 4 1 5

0.0

5

0.0

5

0.0

6 0.05

0.0

5 0.24 0.05 - -

0.0

5 5 1

MANG

– 1

Paldakit –

Mangaldan 7 1 -

0.0

5

0.0

5

0.0

5 0.05

0.0

7 0.08 0.05 0.05

0.0

5 7 1

DENR Water Quality

Guideline Value for

Class " C " Water

Classification

7 mg/L



ENVIRONMENT 2019 82

B.1.7. Phosphate

Table 66 shows the Phosphate Monitoring Data for CY 2019. As gleaned from the Table, the

Phosphate results revealed that all except station VIL-1 in April and stations SC-1, SC-2, CAL-1, BY-

1 and BY-3 met the DENR Water Quality Guideline of ≤0.5 mg/L for Class C water classification.

Figure 32 shows the Graphical Presentation of Phosphate Monitoring Data for CY 2019.


Station

ID

Name of

Location

Phosphate

Ja

n

Fe

b

Ma

r

Ap

r

Ma

y Jun Jul Aug Sep Oct

Mi

n Max

Ave

.


Binalonan

0.0

5

0.0

5

0.0

5

0.0

5

0.0

5 0.05 0.05 0.05 0.05 0.05

0.0

5 0.05

0.05


Urdaneta City

0.0

8 0.1

0.0

8

0.1

6

0.1

4 0.16 0.16 0.07 0.11 0.09

0.0

7 0.16

0.12


Urdaneta City

0.1

0

0.1

5

0.1

1

0.2

2

0.2

5 0.28 0.07 0.10 0.13 0.14

0.1

0 0.28

0.16


Urdaneta City

0.1

4 --

0.1

8

0.7

1 -- 0.34 0.10 0.16 0.20 0.41

0.1

0 0.71

0.28


Urdaneta City

0.0

7 0.2

0.0

5

0.0

7

0.2

1 0.16 0.23 0.17 0.22 0.07

0.0

5 0.23

0.15

SIN – 4 Banaoang – Sta.

Barbara

0.0

6

0.0

8

0.0

5

0.1

2

0.0

9 0.11 0.07 0.06 0.08 0.06

0.0

5 0.11

0.08

SIN – 5 Maramba – Sta.

Barbara

0.0

6

0.0

8

0.0

5

0.1

1

0.1

0 0.11 0.05 0.06 0.09 0.07

0.0

5 0.11

0.08

MAL –

1

Bogtong –

Malasiqui

0.1

1

0.1

2 0.1

0.2

3 -- 0.14 0.13 0.16 0.14 0.25

0.1

0 0.25

0.15


Carlos City

0.1

0

0.1

8 --

0.2

8

0.2

6 8.30 0.22 0.23 0.17 0.27

0.1

0 8.30

1.11

SC-2 Calomboyan-

San Carlos City

0.2

6

0.2

7

0.3

6

0.4

3

0.4

5 7.50 0.13 0.24 0.17 0.30

0.1

3 7.50

1.01

CAL – 1 Dinalaoan -

Calasiao

0.0

6

0.1

3

0.0

9

0.1

2

0.1

2 7.80 0.19 0.21 0.15 0.23

0.1

2 7.80

0.91

DW – 1 Dawel –

Dagupan City

0.0

9

0.1

1

0.1

1

0.0

6

0.0

5 0.05 0.05 0.14 0.20 0.16

0.0

5 0.20

0.10

DAG –

2

Magsaysay –

Dagupan City

0.1

4 0.1

0.0

6

0.1

3

0.1

1 0.14 0.08 0.09 0.11 0.10

0.1

0 0.14

0.11

DAG-3 Bayaoas-

Dagupan City

0.1

4

0.1

2

0.1

4

0.1

4

0.1

5 0.14 0.13 0.23 0.16 0.25

0.1

2 0.25

0.16

BY – 1 Manat-

Binmaley

0.1

4

0.2

5

0.2

4

0.2

1

0.1

7 7.70 0.17 0.30 0.15 0.27

0.1

5 7.70

0.96


Binmaley

0.1

2

0.2

2

0.1

9

0.1

9

0.2

2 7.80 0.15 0.25 0.09 0.20

0.1

2 7.80

0.94

MANG

– 1

Paldakit –

Mangaldan

0.1

9

0.2

1 --

0.2

2

0.2

0 0.17 0.15 0.20 0.20 0.26

0.1

5 0.26

0.20

DENR Water Quality

Guideline for Class " C "


0.5


(--) Stagnant river bed


B.1.8. Chloride

Table 67 shows the Chloride Monitoring Data for CY 2019. As gleaned from the Table, the Chloride results revealed that most downstream monitoring

stations did not meet the DENR Water Quality Guideline of ≤350 mg/L for Class C water classification due to saltwater intrusion.


Station ID Name of Location Chloride

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Min Max Ave.

BIN – 1 CP Primicias - Binalonan 10 10 10 10 10 10 10 10 10 10 - - 10 10 10

SIN – 1 Macalong – Urdaneta City 10 20 10 10 10 19 10 10 10 10 - - 10 20 12

SIN – 3 Caflorescan – Urdaneta City 10 10 10 20 10 19 20 20 10 10 - - 10 20 14

VIL – 1 Villamil– Urdaneta City 148170 - 20 20 - 19 20 20 10 20 20 10 148170 16480

SIN-1A Dilan-Paurido, Urdaneta City 10 20 10 10 10 10 10 10 10 10 - - 10 20 11

SIN – 4 Banaoang – Sta. Barbara 10 20 10 10 10 10 20 20 10 10 - - 10 20 13

SIN – 5 Maramba – Sta. Barbara 10 10 10 10 10 19 10 10 10 10 - - 10 19 11

MAL – 1 Bogtong – Malasiqui 2 1 1 20 - 19 20 20 10 20 - - 1 20 13

SC – 1 San Juan – San Carlos City 4 5 - 2003 779 317 170 60 20 69 90 4 2003 352

SC-2 Calomboyan-San Carlos City 3 1 2 460296 483795 144211 4517 290 40 188 - - 1 483795 109334

CAL – 1 Dinalaoan - Calasiao 2 2 2 20 10 19 20 30 20 20 - - 2 20 15

DW – 1 Dawel – Dagupan City 5 3 4 423472 434803 465680 462357 14620 645 88584 - - 3 462357 189017

DAG – 2 Magsaysay – Dagupan City 2 3 2 2710 745 2346 910 10 10 20 - - 2 2710 676

DAG-3 Bayaoas-Dagupan City 7 1 2 82485 158734 53358 75477 595 250 34147 - - 1 158734 40506

BY – 1 Manat-Binmaley

5 2 4 349825 349067 141807 122962 13496 255 10021 - - 2 349825

98744

BY – 3 Gumapos – Binmaley

4 1 5 306864 315385 113926 94471 60 50 2811 - - 1 315385

83358

MANG – 1 Paldakit – Mangaldan

7 1 - 15957 134238 20430 15745 860 90 13114 10747 1 134238

21119

DENR Water Quality Guideline for Class

" C " Water Classification 350 mg/L




ENVIRONMENT 2019 84

B.1.9. Total Suspended Solids

Table 68 presents the Total Suspended Solids Monitoring Data for the CY 2019. All except station

SIN-5 met the DENR water quality guideline (TSS ≤80 mg/L) for the Total Suspended Solids

parameter. The high concentration was attributed by natural surface run-off during the on-set of rainy

seasons.

Table 68. Total Suspended Solids Monitoring Data, CY 2019

Station

ID

Name of

Location

Total Suspended Solids

Ja

n

Fe

b

Ma

r

Ap

r

Ma

y Jun Jul

Au

g Sep Oct Nov

Mi

n Max

Ave

.


Binalonan 2 2 22 5 8 26 18 67 49 12 - - 2 67 21


Urdaneta City 23 16 12 18 7 11 16 3 27 12 - - 3 27 15


Urdaneta City 26 10 16 16 21 40 38 2 33 8 - - 2 40 21


Urdaneta City 4 - 30 8 8 11 61 40 34 10 - - 4 61 23


Urdaneta City 9 2 18 23 - 44 18 8 35 11 - - 2 44 19


Sta. Barbara 24 12 12 13 22 11 19 29 53 55 - - 11 55 25


Sta. Barbara 24 10 19 15 8 20 15 28 112 40 - - 8 112 29

MAL –

1

Bogtong –

Malasiqui 17 12 22 13 - 27 12 7 46 24 - - 7 46 20


Carlos City 44 43 - 25 7 8 18 5 15 3 - - 3 44 19

SC-2

Calomboyan-

San Carlos

City

9 8 9 10 15 7 10 8 25 5 - - 5 25 11

CAL –

1

Dinalaoan -

Calasiao 23 27 24 12 12 14 6 11 5 15 - - 5 27 15

DW – 1 Dawel –

Dagupan City 14 4 12 18 31 19 19 5 13 14 7 4 31 14

DAG –

2

Magsaysay –

Dagupan City 15 4 15 7 9 10 8 19 51 13 11 4 51 15

DAG-3 Bayaoas-

Dagupan City 4 5 4 9 28 7 6 4 12 17 4 4 28 9

BY – 1 Manat-

Binmaley 20 6 19 15 14 17 9 4 36 9 9 4 36 14


Binmaley 24 18 19 14 19 18 11 8 70 9 6 6 70 20

MANG

– 1

Paldakit –

Mangaldan 13 9 - 11 31 5 8 5 9 11 7 5 31 11

DENR Water Quality



80




Table 69 shows the comparison of six (6) years annual average for Total Suspended Solids from CY 2014 to CY 2019. Based from the table all except

stations BIN-1, SIN-4 and SIN-5 in CY 2018 constantly meets the DENR Water Quality Guideline of 80 mg/L.

Table 69. Comparison of six (6) years annual average for Total Suspended Solids (TSS)

Stations Locations Total Suspended Solids (TSS)

CY 2014 CY 2015 CY 2016 CY 2017 CY 2018 CY 2019

BIN – 1 CP Primicias - Binalonan 14 9 8 18 110 21

SIN – 1 Macalong – Urdaneta City 27 17 14 8 27 15

SIN – 2 Mabanogbog – Urdaneta City 15 13 13 11 24 -

SIN – 3 Caflorescan – Urdaneta City 19 13 25 17 22 21

PIN – 1 Pinmaludpod- Urdaneta City 4 21 25 17 23 -

VIL – 1 Villamil– Urdaneta City 7 22 37 22 38 23

SIN-1A Dilan-Paurido, Urdaneta City - - 14 19 43 19

SIN – 4 Banaoang – Sta. Barbara 9 34 36 44 152 25

SIN – 5 Maramba – Sta. Barbara 14 33 37 38 166 29

MAL – 1 Bogtong – Malasiqui 17 66 39 - 65 20

SC – 1 San Juan – San Carlos City 10 21 39 27 29 19

SC-2 Calomboyan-San Carlos City - - 8 8 13 11

CAL – 1 Dinalaoan - Calasiao 8 29 25 4 18 15

CAL – 2 San Vicente – Calasiao 18 40 31 36 142 -

DW – 1 Dawel – Dagupan City 12 42 9 8 15 14

DAG – 1 Calmay – Dagupan City 12 49 8 10 11 -

DAG – 2 Magsaysay – Dagupan City 23 30 28 6 35 15

DAG-3 Bayaoas-Dagupan City - - 10 3 5 9

BY – 1 Manat-Binmaley 14 49 15 4 9 14

BY – 2 Gayaman – Binmaley 16 37 6 10 5 -

BY – 3 Gumapos – Binmaley 17 47 11 4 43 20

MANG – 1 Paldakit – Mangaldan 14 38 7 3 12 11




B.1.10. Fecal Coliform

Table 70 presents the Fecal Coliform Monitoring Data for the CY 2019. All except stations DW-1 and BY-1 in January; station SC-2 in February, stations

SC-2, BY-1 and BY-3 in March; stations SC-2 and BY-1 in April and station SC-2 in June did not meet the DENR water quality guideline of 200 MPN/ 100

ml sample for the parameter Fecal Coliform.


Station

ID

Name of

Location

Fecal Coliform

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Min Max GEOME

AN

BIN – 1 CP Primicias

- Binalonan 16,000 3500 5400 3500 17000 24000 54000 35000 35000 24000 16000 16000 3500 35000 15382

SIN – 1

Macalong –

Urdaneta

City

92000 9200

0 35,000

160,00

0 92,000 16,000

160,00

0

160,00

0 92,000

160,00

0 35,000 35,000 35000 160000 75104

SIN – 3

Caflorescan

– Urdaneta

City

16000

0 3,500 35,000 35,000 92,000 24,000

160,00

0 92,000 92,000

160,00

0 54,000 54,000 3500 160000 56029

VIL – 1

Villamil–

Urdaneta

City

35000 24,00

0 35,000 9,200 - 12,000 4,600 24,000 35,000 5,400 3,500 3,500 3500 35000 12121

SIN-1A

Dilan-

Paurido,

Urdaneta

City

330 - 160,00

0 54,000

160,00

0 92,000 24,000 35,000 24,000

160,00

0

160,00

0

160,00

0 330 160000 48466


Sta. Barbara

16000

0 9,200 3,500 5,400 17,000 3,500 16,000 24,000 24,000 16,000 460 460 460 160000 7812


Sta. Barbara 35000 3,500 5,400 24,000 17,000 11,000 2,400 24,000 24,000 24,000 24,000 24,000 3500 35000 14001

MAL – 1 Bogtong –

Malasiqui 5400 5,400 1,300 1,300 - 5,400 54,000 24,000 35,000 9,200 - - 1300 35000 7833

SC – 1

San Juan –

San Carlos

City

3500 3,500 - 24,000 9,200 2,800 16,000 9,200 5,400 16,000 5,400 5,400 2800 16000 7227

SC-2 Calomboyan-

San Carlos

16000

0 2 23 46 280 79 24,000 28,000 3,500 3,500 5,400 5,400 2 160000 1041


City

CAL – 1 Dinalaoan -

Calasiao 24000

92,00

0 9,200 24,000 24,000 5,400 9,200 24,000 24,000 24,000 9,200 9,200 5400 92000 17221

DW – 1

Dawel –

Dagupan

City

79 1,300 230 3,500 5,400 2,400 4,600 14,000 16,000 92,000 17,000 17,000 79 92000 4191

DAG – 2

Magsaysay –

Dagupan

City

35000 24,00

0 2,400 24,000 92,000 160,000 17,000 54,000 16,000

160,00

0 9,200 9,200 2400 160000 26870

DAG-3

Bayaoas-

Dagupan

City

5400 790 2,400 3,500 9,200 3,500 5,400 11,000 5,400 24,000 4,600 4,600 790 24000 4892

BY – 1 Manat-

Binmaley 17 330 23 110 2,400 35,000 2,400 230 9,200 24,000 9,200 9,200 17 35000 1233


Binmaley 2400 230 130 490 2,100 5,400 3,500 24,000

160,00

0

160,00

0 5,400 5,400 130 160000 4135

MANG

– 1

Paldakit –

Mangaldan 9200 3,500 - 9,200 5,400 16,000 9,200 2,400 24,000 92,000 3,500 3,500 3500 92000 8430

DENR Water Quality



200


(---) Inaccessibility of monitoring station


Table 71 presents the comparison of six (6) years annual geometric mean for Fecal Coliform from CY 2014 to CY 2019. As gleaned from the Table, all

stations did not meet the DENR Water Quality Guideline of 200 MPN/ 100 ml sample. However, in comparing the Monitoring Data from CY 2014 to CY

2019, the results show significant improvement in water quality in several monitoring stations.

Table 71. Comparison of six (6) years annual geometric mean for Fecal Coliform (FC)

Stations Locations Fecal Coliform

CY 2014 CY 2015 CY 2016 CY 2017 CY 2018 CY 2019

BIN – 1 CP Primicias - Binalonan 221,057 1,893 4,753 20,897 6358 15382

SIN – 1 Macalong – Urdaneta City 26,225 3,056 4,036 13,885 12905 75104

SIN – 2 Mabanogbog – Urdaneta City 364,096 2,605 4,502 17,418 15402 -

SIN – 3 Caflorescan – Urdaneta City 105,519 535 2,918 15,968 33649 56029

PIN – 1 Pinmaludpod- Urdaneta City 72,932 1,206 1,853 9,291 12908 -

VIL – 1 Villamil– Urdaneta City 106,908 1,013 3,004 5,209 10125 12121

SIN-1A Dilan-Paurido, Urdaneta City - - 5,395 17,400 7869 48466

SIN – 4 Banaoang – Sta. Barbara 78,816 19,856 4,058 9,455 3939 7812

SIN – 5 Maramba – Sta. Barbara 42,092 1,357 2,847 11,221 5096 14001

MAL – 1 Bogtong – Malasiqui 73,931 2,268 1,703 45 5627 7833

SC – 1 San Juan – San Carlos City 61,655 1,104 1,870 12,041 2644 7227

SC-2 Calomboyan-San Carlos City - - 1,061 5,568 453 1041

CAL – 1 Dinalaoan - Calasiao 59,924 779 2,709 872 6585 17221

CAL – 2 San Vicente – Calasiao 118,809 1,927 3,238 12,045 5284 -

DW – 1 Dawel – Dagupan City 80,065 1,999 1,921 6,228 1580 4191

DAG – 1 Calmay – Dagupan City 257,357 1,784 3,813 12,140 7637 -

DAG – 2 Magsaysay – Dagupan City 86,033 3,060 4,456 7,315 11773 26870

DAG-3 Bayaoas-Dagupan City - - 813 12,888 1692 4892

BY – 1 Manat-Binmaley 1,069 1,395 1,964 17,784 636 1233

BY – 2 Gayaman – Binmaley 7,339 1,142 2,389 7,227 384 -

BY – 3 Gumapos – Binmaley 312,149 4,106 3,028 1,872 1231 4135

MANG – 1 Paldakit – Mangaldan 35,004 1,068 2,545 10,016 767 8430




ENVIRONMENT 2019 89

Table 72 shows the annual averages of the ten (10) primary parameters monitored for CY 2019. Most

of the averages are within the DENR Water Quality Guideline for C waters except for the Annual

Average of the parameter Chloride and the Geomean for the parameter Fecal Coliform.

Table 72. ANNUAL AVERAGES OF THE TEN PRIMARY PARAMETERS, CY 2019

B.1.11. Trace Metals

Table 44 and Table 45 shows the results of the heavy metal analysis on various sampling points of the

SDRS WQMA in CY 2018 and CY 2019, respectively.

a. Arsenic (As)

The results of monitoring in the nine (9) established monitoring stations are far below the water

quality guideline of 0.02 mg/l Arsenic with values of less than 0.01 mg/L.

Station ID NAME OF

STATION

PARAMETERS

Averages Geometric

Mean

pH DO BOD NO3-

N PO4 Cl

- Color Temp TSS (FC)

BIN – 1 CP

Primicias 7.86 7.8 2 10 0.05 10 5 29.70 21 15382

SIN – 1 Macalong 7.61 5.8 3 1 0.12 12 15 29.26 15 75104

SIN – 3 Caflorescan 7.70 5.8 5 1 0.16 14 14 28.60 21 56029

VIL – 1 Villamil 7.89 4.8 7 1 0.28 16480 22 28.77 23 12121

SIN-1A Dilan-

Paurido 7.79 6.6 3 1 0.15 11 13 29.03 19 48466

SIN – 4 Banaoang 8.06 7.1 2 1 0.08 13 9 29.55 25 7812

SIN – 5 Maramba 8.16 7.5 2 1 0.08 11 13 29.48 29 14001

MAL – 1 Bogtong 7.91 5.6 3 1 0.15 13 19 29.50 20 7833

SC – 1 San Juan 8.07 6.8 4 1 1.11 352 22 29.58 19 7227

SC-2 Calomboyan 7.65 5.4 4 1 1.01 109334 20 30.75 11 1041

CAL – 1 Dinalaoan 7.69 5.8 4 1 0.91 15 15 30.12 15 17221

DW – 1 Dawel 7.79 5.3 5 1 0.10 189017 10 28.69 14 4191

DAG – 2 Magsaysay 8.09 7.6 2 1 0.11 676 10 29.39 15 26870

BY – 1 Manat 7.88 5.9 5 1 0.16 40506 15 29.44 9 4892

BY – 3 Gumapos 7.90 5.5 5 1 0.96 98744 12 29.26 14 1233

MANG –

1 Paldakit 7.84 5.5 4 1 0.94 83358 12 30.46 20 4135

DENR Water Quality

Guideline set for Class

“C” Water

Classification

6.0-

9.0

5.0

mg/L

7.0

mg/L

7.0

mg/L

0.5

mg/L 350 mg/L

75

TCU

25-31

°C

80.0

mg/L

200 MPN/

100 ml


ENVIRONMENT 2019 90

b. Cadmium (Cd)

The potential sources of cadmium are from electroplating activities and batteries. The results of the

Heavy Metal Analysis for Cadmium recorded less than 0.006 mg/L which is higher the water quality

guideline of 0.005 mg/L.

c. Chromium (Cr)

Chromium compounds are primarily used in dyes and paints and in the tanning of leather. In the

automobile industry, hexavalent chromium is found in the primer paints for refinishing applications.

The nine (9) stations of the SDRS-WQMA that were tested for the presence of chromium obtained

results that are under the DENR water quality guideline standard of 0.05

d. Copper (Cu)

All five representative stations of the SDRS-WQMA attained a value of <0.01 mg/L. There is no

DENR water quality guideline for Copper.

e. Lead (Pb) Five stations that are representative of each LGUs were tested for Lead Concentration, all five stations

yielded values that are less than 0.05, the DENR Water Quality Guideline for Lead.

f. Mercury The representative stations all yielded <0.0001 mg/L mercury which is within the DENR water

quality guideline of 0.002 mg/L for Class C Water Classification.

g. Zinc(Zn)

The two (2) years monitoring data (CY 2018 and CY 2019) recorded <0.03 mg/L which is far below

the DENR Water Quality Guideline of 2 mg/L.


ENVIRONMENT 2019 91

Table 73. Heavy Metals Monitoring Data, CY 2018

Parameters STATIONS DENR

Water

Quality

Guideline

for Class

C Waters

(mg/L)

Paldakit CP

Primicias Macalong Maramba

San

Vicente San Juan Manat Dawel Calmay

Arsenic <0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

0.02

Cadmium <0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

0.01

Chromium <0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

0.05

Copper <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 0.02

Lead <0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

0.05

Zinc <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 2

Mercury <0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

0.002


ENVIRONMENT 2019 92

Table 74. Heavy Metals Monitoring Data, CY 2019


Water

Quality

Guideline

for Class

C Waters

(mg/L)

Paldakit CP

Primicias Macalong Maramba Dinalaoan San Juan Manat Dawel Bogtong

Arsenic <0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

0.02

Cadmium <0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

0.01

Chromium <0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

0.05

Copper <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 0.02

Lead <0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

0.05

Zinc <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 <0.03 2

Mercury <0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

0.002


ENVIRONMENT 2019 93

B.1.12. Inorganic Compounds

Table 75 and Table 76 shows the results of Inorganic Compounds Data for CY 2018 and CY 2019.

Improvement in the water quality for two stations exceeded in CY 2018. However, improvement in

water quality recorded that all the parameters met the water quality guideline values for Ammonia,

Cyanide Free, Nitrates and Phosphates.

Table 75. Inorganic Compounds Monitoring Data, CY 2018

Table 76. Inorganic Compounds Monitoring Data, CY 2019

Parameters MONITORING STATIONS DENR

Water

Quality

Guideline

for Class

C Waters

(mg/L)

Paldakit CP

Primicias Macalong Maramba

San

Vicente

San

Juan Manat Dawel Calmay

Ammonia 0.008 1.1 <0.003 0.04 0.04 0.008 1.3 <0.003 0.008 0.05

Cyanide,

Free <0.02 <0.02 <0.05 <0.02 <0.02 <0.02 <0.02 <0.05 <0.02 0.05

Nitrate 1.7 2.1 <0.0002 1.1 0.1 1.8 1.9 <0.0002 1.4 10.0

Phosphate 0.1 0.2 <0.007 0.09 0.07 0.1 0.1 <0.007 0.1 0.4

Parameters MONITORING STATIONS DENR

Water

Quality

Guideline

for Class

C Waters

(mg/L)

Paldakit CP

Primicias Macalong Maramba Dinalaoan

San

Juan Manat Dawel Bogtong

Ammonia <0.003 <0.003 <0.003 <0.003 <0.003 <0.003 <0.003 <0.003 <0.003 0.05

Cyanide,

Free <0.004 <0.004 <0.004 <0.004 <0.004 <0.004 <0.004 <0.004 <0.004 0.05

Nitrate 1.2 1.1 <0.0002 1.1 0.1 1.7 1.2 <0.0002 1.3 10.0

Phosphate 0.1 0.2 <0.007 0.08 0.06 0.1 0.1 <0.007 0.1 0.4


ENVIRONMENT 2019 94

B.1.13. OrganoChlorine Pesticides (OCPs)

Table 77 and 78 shows the OrganoChlorine Pesticide Monitoring Data for CY 2018 and CY 2019.

Results of baseline monitoring reflected very low concentrations (not detected); within the DENR

water quality guideline for Class C waterbody. Results do not pose risk to the environment.

Parameters

MONITORING STATIONS

DENR

Water

Quality

Guideline

for Class C

Waters

(µg/L)

Palda

kit

CP

Primici

as

Macalo

ng

Maram

ba

San

Vicente

San

Jua

n

Man

at

Daw

el

Calma

y

4,4’-DDD ND ND ND ND ND ND ND ND ND No

Guideline

4,4’-DDE ND ND ND ND ND ND ND ND ND No

Guideline

4,4’-DDT ND ND ND ND ND ND ND ND ND No

Guideline

Aldrin ND ND ND ND ND ND ND ND ND No

Guideline

Alpha-BHC ND ND ND ND ND ND ND ND ND No

Guideline

Alpha

Chlordane ND ND ND ND ND ND ND ND ND

No

Guideline

Beta-BHC ND ND ND ND ND ND ND ND ND No

Guideline

Chlordane

(tech) ND ND ND ND ND ND ND ND ND

No

Guideline

Delta-BHC ND ND ND ND ND ND ND ND ND No

Guideline

Dieldrin ND ND ND ND ND ND ND ND ND No

Guideline

Endosulfan I ND ND ND ND ND ND ND ND ND No

Guideline

Endosulfan

II ND ND ND ND ND ND ND ND ND

No

Guideline

Endosulfan

Sulfate ND ND ND ND ND ND ND ND ND

No

Guideline

Endrin ND ND ND ND ND ND ND ND ND No

Guideline

Endrin

Aldehyde ND ND ND ND ND ND ND ND ND

No

Guideline

Eldrin

Ketone ND ND ND ND ND ND ND ND ND

No

Guideline

Gamma- ND ND ND ND ND ND ND ND ND No


ENVIRONMENT 2019 95

Table 77. OrganoChlorine Pesticide Monitoring Data, CY 2018 (ND)- not detected

BHC

(Lindane)

Guideline

Heptachlor ND ND ND ND ND ND ND ND ND No

Guideline

Heptachlor

Epoxide ND ND ND ND ND ND ND ND ND

No

Guideline

Methoxychl

or ND ND ND ND ND ND ND ND ND

No

Guideline

Toxaphene ND ND ND ND ND ND ND ND ND No

Guideline

Parameters

MONITORING STATIONS

DENR

Water

Quality

Guideline

for Class C

Waters

(µg/L)

Palda

kit

CP

Primici

as

Macalo

ng

Maram

ba

Dinalao

an

San

Jua

n

Man

at

Daw

el

Bogton

g

4,4’-DDD ND ND ND ND ND ND ND ND ND No

Guideline

4,4’-DDE ND ND ND ND ND ND ND ND ND No

Guideline

4,4’-DDT ND ND ND ND ND ND ND ND ND No

Guideline

Aldrin ND ND ND ND ND ND ND ND ND No

Guideline

Alpha-BHC ND ND ND ND ND ND ND ND ND No

Guideline

Alpha

Chlordane ND ND ND ND ND ND ND ND ND

No

Guideline

Beta-BHC ND ND ND ND ND ND ND ND ND No

Guideline

Chlordane

(tech) ND ND ND ND ND ND ND ND ND

No

Guideline

Delta-BHC ND ND ND ND ND ND ND ND ND No

Guideline

Dieldrin ND ND ND ND ND ND ND ND ND No

Guideline

Endosulfan I ND ND ND ND ND ND ND ND ND No

Guideline

Endosulfan

II ND ND ND ND ND ND ND ND ND

No

Guideline

Endosulfan

Sulfate ND ND ND ND ND ND ND ND ND

No

Guideline

Endrin ND ND ND ND ND ND ND ND ND No


ENVIRONMENT 2019 96

Table 78. OrganoChlorine Pesticide Monitoring Data, CY 2019 (ND)- not detected

B.1.14. Organophosphorus Compounds (OPPs)

Guideline

Endrin

Aldehyde ND ND ND ND ND ND ND ND ND

No

Guideline

Eldrin

Ketone ND ND ND ND ND ND ND ND ND

No

Guideline

Gamma-

BHC

(Lindane)

ND ND ND ND ND ND ND ND ND No

Guideline

Heptachlor ND ND ND ND ND ND ND ND ND No

Guideline

Heptachlor

Epoxide ND ND ND ND ND ND ND ND ND

No

Guideline

Methoxychl

or ND ND ND ND ND ND ND ND ND

No

Guideline

Toxaphene ND ND ND ND ND ND ND ND ND No

Guideline


ENVIRONMENT 2019 97

Table 79 and 80 shows the OrganoPhosphorous Compounds Monitoring Data for CY 2018 and CY

2019. The Monitoring Data reflected very low concentrations (not detected), below the DENR water

quality guideline for Class C waterbody. Results do not pose risk to the environment.

Table 79. OrganoPhosphorus Compounds Monitoring Data, CY 2018 Parameters STATIONS DENR

Water

Quality

Guideline

for Class C

Waters

(µg/L)

Paldak

it

CP

Primici

as

Macalon

g

Maram

ba

Dinalaoa

n

San

Jua

n

Mana

t

Daw

el

Bogto

ng

Azinphosmeth

yl


Guideline

Bolstar ND ND ND ND ND ND ND ND ND No

Guideline

Chlorpyrifos ND ND ND ND ND ND ND ND ND No

Guideline

Coumaphos ND ND ND ND ND ND ND ND ND No

Guideline

Demeton-O ND ND ND ND ND ND ND ND ND No

Guideline

Diazinon ND ND ND ND ND ND ND ND ND No

Guideline

Dichlorvos ND ND ND ND ND ND ND ND ND No

Guideline

Disulfoton ND ND ND ND ND ND ND ND ND No

Guideline

Ethoprop ND ND ND ND ND ND ND ND ND No

Guideline

Fenchlorphos ND ND ND ND ND ND ND ND ND No

Guideline

Fensulfothion ND ND ND ND ND ND ND ND ND No

Guideline

Fenthion ND ND ND ND ND ND ND ND ND No

Guideline

Malathion ND ND ND ND ND ND ND ND ND No

Guideline

Merphos ND ND ND ND ND ND ND ND ND No

Guideline

Methyl

parathion


Guideline

Mervinphos ND ND ND ND ND ND ND ND ND No

Guideline

Phorate ND ND ND ND ND ND ND ND ND No

Guideline

Tetrachlorvin

phos


Guideline

Tokuthion ND ND ND ND ND ND ND ND ND No

Guideline

Trichloronate ND ND ND ND ND ND ND ND ND No

Guideline


ENVIRONMENT 2019 98


ENVIRONMENT 2019 99

Table 80. OrganoPhosphorus Compounds Monitoring Data, CY 2019


Water

Quality

Guideline

for Class C

Waters

(µg/L)

Paldak

it

CP

Primicias

Macalo

ng

Maram

ba

San

Vicen

te

San

Jua

n

Man

at

Daw

el

Calm

ay

Azinphosmet

hyl


Guideline

Bolstar ND ND ND ND ND ND ND ND ND No

Guideline

Chlorpyrifos ND ND ND ND ND ND ND ND ND No

Guideline

Coumaphos ND ND ND ND ND ND ND ND ND No

Guideline

Demeton-O ND ND ND ND ND ND ND ND ND No

Guideline

Diazinon ND ND ND ND ND ND ND ND ND No

Guideline

Dichlorvos ND ND ND ND ND ND ND ND ND No

Guideline

Disulfoton ND ND ND ND ND ND ND ND ND No

Guideline

Ethoprop ND ND ND ND ND ND ND ND ND No

Guideline

Fenchlorpho

s


Guideline

Fensulfothio

n


Guideline

Fenthion ND ND ND ND ND ND ND ND ND No

Guideline

Malathion ND ND ND ND ND ND ND ND ND No

Guideline

Merphos ND ND ND ND ND ND ND ND ND No

Guideline

Methyl

parathion


Guideline

Mervinphos ND ND ND ND ND ND ND ND ND No

Guideline

Phorate ND ND ND ND ND ND ND ND ND No

Guideline

Tetrachlorvi

nphos


Guideline

Tokuthion ND ND ND ND ND ND ND ND ND No

Guideline

Trichloronat

e


Guideline


ENVIRONMENT 2019 100

B.2. NAGUILIAN RIVER SYSTEM – WATER QUALITY MANAGEMENT AREA (NRS-

WQMA)

The Naguilian River System (NRS) Water Quality Management Area (WQMA) was officially

designated pursuant with DENR Administrative Order No. 18 series of 2016 dated June 21, 2016. The

Naguilian River System Water Quality Management Area (NRS-WQMA) covers the municipalities of

Bagulin, Bauang, Burgos and Naguilian and the City of San Fernando in the Province of La Union.

The Naguilian River System - Water Quality Management Area falls inside the geographical

coordinates of 16°38'7.91" and 16°28'14.18" north latitudes, and 120°18'20.84" and 120°32'56.07"

east longitudes. The whole WQMA has a total area of 26,856.81 hectares.

There are ninety-six (96) barangays within the NRS, with a total of 25,889 households and population

of 118,922 based on the 2014 Survey of the National Statistics Office.

Land-use in the proposed WQMA area can be classified generally into agricultural, residential, forest

and commercial areas. Aquaculture is very significant land use in Bauang.

The headwater of Naguilian River Sytem originates from one of the mountainous areas of Cordilleras.

Its upstream location is in Bagulin and Burgos in the north east and east, respectively, while the

downstream portion is in Bauang in the west in the province of La Union.



classification.

The CY 2019 annual averages and monthly monitoring data for the parameters Color, Nitrate,

Phosphate and Chloride revealed that all monitoring stations met their respective DENR Water

Quality Guideline for Class C water classification.

The comparison of the geometric mean for Fecal Coliform from all monitoring stations of the NRS


CY 2014 showed that all eleven (11) monitoring stations exceeded the DENR Water Quality

Guideline for Class C waters of 200 MPN/100ml. In CY 2015, the results of Fecal Coliform shows

that all monitoring stations did not meet the water quality guideline, although the annual geometric

mean of the monitoring displayed better results as compared to the results obtained in CY 2014, the

monitoring results in CY 2016 revealed that all monitoring stations still did not meet the DENR Water

Quality Guideline with ten (10) monitoring stations showing an increase in Fecal Coliform

concentration, with only NAG-4 station showing an improvement in water quality. The annual

Geometric mean for CY 2017, CY 2018 and CY 2019 recorded that all stations exceeded the DENR

Water Quality Guideline.

For the parameters Trace Metals, Inorganic Compounds, OrganoChlorine Pesticides and

OrganoPhosphorous Pesticides for CY 2018 and CY 2019, the monitoring data revealed that all

representative stations met their corresponding Water Quality Guideline.



MONITORING RESULTS OF THE NAGUILIAN RIVER SYSTEM

Eleven (11) stations were established for water quality monitoring of the river system. Nine out of the

eleven stations located in Bagulin, Bauang, Burgos and Naguilian had been continuously monitored

monthly since CY 2014. Two additional stations were added in November 2014.

The parameters monitored for CY 2014 as baseline are: potential of Hydrogen (pH), Dissolved

Oxygen (DO), five-day Biochemical Oxygen Demand (BOD5), Total Suspended Solids (TSS), Total

Coliform and Fecal Coliform. Samples from designated monitoring stations were analysed at EMB

Region 1 Laboratory.

In addition, baseline analysis for Organochlorine Pesticides and trace metals such as lead (Pb), copper

(Cu), zinc (Zn), cadmium (Cd), nickel (Ni) and total chromium were also undertaken for the dry

season. Likewise, five strategic sampling points were also monitored for the parameters phosphates,

nitrites and nitrate for the rainy season. The other parameters were analysed at CRL Environmental

Laboratories. The monitoring stations are presented in Table 81.

Table 81. Naguilian River System Monitoring Stations

Station

ID Location

City/

Municipality

Initial date of

sampling

GPS LOCATION

Latitude Longitude

NAG-1 Naguilian

Bridge Naguilian January 2014 16°31’48” E 120°23’15” N

NAG-2 Mamat-ing

Bridge Naguilian January 2014 16°34’44” E 120°24’41” N

NAG-3 Guesset Bridge Naguilian January 2014 16°30’11” E 120°24’35” N

NAG-4 Batan Bridge Naguilian January 2014 16°30’50” E 120°25’38” N

BAG-1 Bagulin Bridge Bagulin January 2014 16°36’13” E 120°26’01” N

BAG-2 Suyo Bridge Bagulin January 2014 16°36’28” E 120°26’26” N

BUR-1 Caoayan

Bridge Burgos January 2014 16°31’37” E 120°26’21” N

BUR-2 Bolikewkew

Bridge Burgos January 2014 16°32’24” E 120°27’57” N

BAU-1 Bauang Bauang January 2014 16°31’07” E 120°19’48” N

SF-1 Pao Sur San Fernando

City

November

2014 16°35’34” E 120°23’07” N

SF-1 Sacyud San Fernando

City

November

2014 16°34’06” E 120°23’25” N

The results of the water quality monitoring of the 11 monitoring stations in the Naguilian River

System Water Quality Management Area for 2019 are to wit:




Table 82 shows the pH Monitoring Data for CY 2019. The monitoring data for CY 2019 revealed that

all except NAG-4 station in April met the DENR Water Quality Guideline of 6.5-9.0 pH range.

Moreover, the annual average for all stations met the DENR Water Quality Guideline.



(--) Dried-up river bed


STATION

I.D NAME OF STATION


Jan Feb Mar Apr May Ju

n Jul Aug Sep Oct Nov Min Max Ave

BUR-2 Bolikewkew Bridge -

Burgos, La Union - 8.4 8.4 8.5 8.3 8.2 8 8.2 8.3 8.40 7.27 7.3 8.5 8.2

BUR-1 Caoayan Bridge - Burgos,

La Union

- 8.4 8.4 8.4 8.3 8.2 7.6 8 8.3 8.60 8.19 7.6 8.6 8.2

NAG-4 Batan Bridge - Naguilian,

La Union

- 8.9 8.9 9.2 8.3 8.2 7.6 7.7 8.2 7.10 8.19 7.1 9.2 8.2

NAG-3 Gueset Bridge - Naguilian,

La Union

- 8.2 8.3 8.6 8 8.3 7.6 7.5 8.1 8.50 7.94 7.5 8.6 8.1

BAG-2 Suyo Bridge - Bagulin, La

Union

- 8.8 9 8.8 8.2 8.3 8 8.3 8.4 8.50 8.29 8.0 9.0 8.5

BAG-1 Bagulin Bridge - Bagulin,

La Union

- 8.2 8.9 8.9 8.2 8.2 8.3 8.3 8.5 8.60 8.44 8.2 8.9 8.5

NAG-2 Mamat-Ing Bridge-

Naguilian, La Union

- 8.7 8.5 8.4 8.1 8.3 8 8.2 8.3 7.80 7.88 7.8 8.7 8.2

SF-2 PAO-SUR - City Of San

Fernando, La Union

- -- -- -- -- 7.5 8.3 8.3 8.5 8.40 7.95 8.0 8.5 8.3

SF-1 SACYUD - City Of San

Fernando, La Union

- -- -- -- -- 7.7 8.1 8.2 --- 8.30 8.01 8.0 8.3 8.2

NAG-1 Naguilian Bridge -

Naguilian, La Union

- 8.5 8.5 8.6 8 8.2 7.8 7.3 8.1 8.60 8.12 7.3 8.6 8.2

BAU-1 Bauang Bridge - Bauang,

La Union

- 8.3 8.2 8.2 7.4 8.1 7.7 7.2 7.9 8.50 8.40 7.2 8.5 8.0


for

Class " C " Water Classification

6.5-9.0



Table 83 shows the comparison of six (6) years annual average for Potential of Hydrogen (pH)

monitoring, it is reflected that the yearly averages from CY 2014 to CY 2019 are within the DENR

Water Quality Guideline for Class C water body of 6.5 to 9.0.

Table 83. Comparison of six (6) years annual average data for Potential of Hydrogen

Stations Locations


CY 2014 CY 2015 CY 2016 CY 2017 CY

2018

CY 2019

NAG-1 Naguilian Bridge 7.5 7.2 6.5 8.0 7.8 8.0

NAG-2 Mamat-ing Bridge 7.5 7.3 6.5 8.2 8.3 8.2

NAG-3 Gueset Bridge 7.5 7.1 6.5 8.2 8.0 8.1

NAG-4 Batan Bridge 7.6 7.5 6.5 8.5 8.0 8.2

BAG-1 Bagulin Bridge 7.4 7.3 6.4 8.4 8.5 8.5

BAG-2 Suyo Bridge 7.3 7.2 6.4 8.4 8.4 8.5

BUR-1 Caoayan Bridge 7.3 7.4 6.4 8.4 8.1 8.2

BUR-2 Bolikewkew Bridge 7.7 7.1 6.5 8.2 8.2 8.2

BAU-1 Bauang Bridge 7.5 7.4 6.5 8.0 8.0 8.2

SF-1 Pao Sur 7.8 7.5 7.2 8.0 8.2 8.3

SF-2 Sakyud 8.0 7.3 7.0 8.0 7.7 8.2

DENR Water Quality

Guideline for Class “C”


6.5-9.0



B.2.2. Dissolved Oxygen (DO)

Table 84 presents the Dissolved Oxygen Monitoring Data for CY 2019. As reflected from the table,

all stations met the DENR minimum requirement of 5 mg/L for Class C water classification.





STATION

I.D NAME OF STATION

Dissolved Oxygen (DO) (mg/L)

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Min Max Ave

BUR-2 Bolikewkew Bridge - Burgos,

La Union - 8.5 7.7 7.9 7.9 8.4 8.6 8.6 8.56 8.00 8.08 7.7 8.6 8.2

BUR-1 Caoayan Bridge - Burgos, La

Union - 10.8 8 7.8 7.8 8.3 8.4 8.8 8.56 8.10 8.74 7.8 10.8 8.6

NAG-4 Batan Bridge - Naguilian, La

Union - 11.6 8.5 11.3 8.6 7.8 8.9 8.1 8.91 8.60 8.46 8.1 11.6 9.2

NAG-3 Gueset Bridge - Naguilian, La

Union - 8.6 8.3 8.9 8.4 8.1 8.3 8.1 8.05 8.10 7.85 7.9 8.9 8.3


Union - 9.6 7.9 8.9 7.8 8.6 8.4 8.8 8.91 7.90 9.45 7.8 9.6 8.6

BAG-1 Bagulin Bridge - Bagulin, La

Union - 11 8.1 9.3 7.4 7.9 7.9 8.8 8.07 8.30 9.88 7.4 11.0 8.8

NAG-2 Mamat-Ing Bridge- Naguilian,

La Union - 9.3 7.9 7.9 7.4 8.6 8.2 8.4 8.56 8.50 8.83 7.4 9.3 8.3


Fernando, La Union - -- -- -- -- 5.7 7.8 8.2 7.89 7.60 7.79 7.6 8.2 7.9


Fernando, La Union - -- -- -- -- 7.3 7.1 7.4 --- 7.80 8.19 7.1 8.2 7.6

NAG-1 Naguilian Bridge - Naguilian,

La Union - 8.6 8.6 8 7.1 8.5 8.5 8.3 8.44 8.20 8.69 7.1 8.7 8.3

BAU-1 Bauang Bridge - Bauang, La

Union - 8.3 7.5 6.9 6.7 7.7 8 8.2 8.39 7.30 7.59 6.7 8.4 7.7


Class " C " Waters ≥5.0



Table 85 shows the comparison of six (6) years annual average for Dissolved Oxygen (DO)

monitoring in all stations of the NRS WQMA. The table shows that the water quality from CY 2014

to CY 2019 constantly meets the DENR minimum Water Quality Guideline of 5.0 mg/L.

Table 85. Comparison of six (6) years annual average data for Dissolved Oxygen

Stations Locations


CY

2014 CY 2015

CY

2016

CY

2017 CY 2018

CY 2019

NAG-1 Naguilian Bridge 9.6 7.9 8.3 8.7 7.2 8.3

NAG-2 Mamat-ing Bridge 9.5 8.2 7.9 8.3 8.2 8.3

NAG-3 Gueset Bridge 10 8.0 8.6 8.9 8.8 8.3

NAG-4 Batan Bridge 11.8 9.7 8.7 9.6 8.4 9.2

BAG-1 Bagulin Bridge 8.9 8.2 8.6 8.8 8.4 8.8

BAG-2 Suyo Bridge 9.1 8.6 8.3 8.5 8.3 8.6

BUR-1 Caoayan Bridge 8.7 8.7 8.7 8.2 8.2 8.6

BUR-2 Bolikewkew Bridge 8.5 7.5 8.0 8.1 8.4 8.2

BAU-1 Bauang Bridge 9.1 8.9 6.9 7.6 7.9 7.7

SF-1 Pao Sur 7.4 8.8 7.5 7.7 8.3 7.9

SF-2 Sakyud 8.6 7.4 8.3 8.4 8.4 7.6

DENR Water Quality Guideline for

Class “C” Water Classification ≥5.0



B.2.3. Biochemical Oxygen Demand (BOD)

Table 86 shows the monitoring data of Biochemical Oxygen Demand for CY 2019. All except station

BAG-1 in April met the DENR water quality guideline (BOD ≤7 mg/L) for Class C water

classification.

Table 86. Biochemical Oxygen Demand Monitoring Data, CY 2019




BOD incubator under maintenance

STATIO

N

I.D

NAME OF STATION


Jan Feb Ma

r Apr

Ma

y

Ju

n Jul Aug Sep Oct Nov Min

Ma

x Ave


Burgos, La Union - <1 <1 6 <1 2 2 2 <1 2 6 3


La Union - 2 <1 6 <1 2 <1 <1 <1 2 6 4


La Union - 2 <1 6 2 2 3 2 <1 2 6 3


La Union - <1 <1 5 1 3 2 3 <1 1 5 3


Union - 4 1 7 5 3 4 <1 <1 1 7 4


La Union - 2 1 8 4 2 <1 2 2 1 8 3


Naguilian, La Union - 2 <1 6 4 4 2 2 <1 2 6 3


Fernando, La Union - -- -- -- -- 2 1 2 2 1 2 2


Fernando, La Union - -- -- -- -- <1 2 2 --- 2 2 2


Naguilian, La Union - 2 <1 6 4 2 2 <1 <1 2 6 4

BAU-1 Bauang Bridge - Bauang,

La Union - 1 <1 7 5 2 4 3 <1 1 7 4


Value for

Class " C " Waters

≤7



Table 87 shows the comparison of six (6) years annual averages for Biochemical Oxygen Demand

(BOD) Monitoring. The annual average for Biochemical Oxygen Demand from CY 2014 to CY 2019

revealed that all monitoring stations met the DENR Water Quality Guideline of 7.0 mg/L for Class C

water classification.

Table 87. Comparison of six (6) years annual average for Biochemical Oxygen Demand

Stations Locations


CY 2014 CY 2015 CY 2016 CY 2017 CY 2018 CY 2019

NAG-1 Naguilian Bridge 3 3 3 2 2 4

NAG-2 Mamat-ing Bridge 4 3 2 2 3 3

NAG-3 Gueset Bridge 3 3 2 2 2 3

NAG-4 Batan Bridge 3 2 2 3 2 3

BAG-1 Bagulin Bridge 4 2 2 2 3 3

BAG-2 Suyo Bridge 4 3 3 2 3 4

BUR-1 Caoayan Bridge 3 2 2 2 2 4

BUR-2 Bolikewkew Bridge 3 2 2 3 2 3

BAU-1 Bauang Bridge 4 3 2 3 2 4

SF-1 Pao Sur 4 3 2 2 3 2

SF-2 Sakyud 3 6 3 3 <1 2

DENR Water Quality

Guideline for Class “C” Water

Classification

7



B.2.4. Color

Based on the tabulated monitoring data for CY 2019 in Table 88, all stations met the maximum Color

requirement of 75 TCU. The Color values range from 5 TCU to 15 TCU.





STATIO

N

I.D

NAME OF STATION

Color (TCU)




Burgos, La Union - <5 5 5 5 5 5 <5 5 5 <5 <5 5 5


La Union - 10 5 5 5 10 5 <5 5 5 <5 <5 10 6


Union - 5 5 10 10 15 5 <5 5 5 <5 <5 15 8


La Union - 5 5 10 10 15 10 <5 5 5 <5 <5 15 8


Union - 5 5 5 10 10 5 <5 5 5 <5 <5 10 6


Union - 5 5 5 5 10 5 <5 5 5 <5 <5 10 6


Naguilian, La Union - 5 5 5 10 15 5 <5 5 5 <5 <5 15 7


Fernando, La Union - -- -- -- -- 15 10 5 5 5 <5 <5 15 8


Fernando, La Union - -- -- -- -- 15 10 5 --- 5 <5 <5 15 9


Naguilian, La Union - 5 5 5 15 10 5 <5 5 5 <5 <5 15 7


Union - 5 5 5 10 10 10 <5 <5 5 <5 <5 10 7


for

Class " C " Waters

75



B.2.5. Temperature

Tables 89 shows the Temperature monitoring data for Class C Water Classification. Several


due to the high elevation of the stations causing the relatively cold ambient results for the said

parameter





Water Quality Checker under repair

STATIO

N

I.D

NAME OF STATION Temperature (°C)



La Union -

27.0

9

28.2

3

31.3

2

28.7

5

31.8

5

28.0

0

28.0

1

25.3

6

27.0

9

31.8

5 28.58


Union -

27.7

9

29.0

8

32.4

4

29.7

4

30.2

3

27.7

5

29.2

2

25.8

4

25.8

4

32.4

4 29.01


Union -

29.9

5

30.2

7

33.1

8

31.0

1

30.6

4

27.6

9

28.7

1

26.9

3

26.9

3

33.1

8 29.80


La Union -

27.7

3

30.2

7 33.2

32.0

4

32.4

9

27.8

4

29.0

1

27.1

0

27.1

0 33.2 29.96


Union -

27.4

3

29.6

5

34.5

7

27.4

3

28.9

5

28.5

4

29.4

1

25.8

2

25.8

2

34.5

7 28.98


Union -

28.5

6

30.4

7

34.3

4

27.5

4

29.3

9

28.7

1

30.1

0

27.0

1

27.0

1

34.3

4 29.52


Naguilian, La Union -

28.5

8

30.9

1 34.5

27.8

8

32.5

0

29.7

7

29.3

1

27.3

3

27.3

3 34.5 30.10


Fernando, La Union - -- -- -- --

32.2

0

31.4

4

29.5

1

29.7

0

29.5

1

32.2

0 30.71



28.7

5

33.7

8

29.1

0 ---

28.7

5

33.7

8 30.54


La Union - 28

29.9

4

33.0

4

26.9

9

31.4

1

26.6

7

29.7

3

26.4

4

26.4

4

33.0

4 29.03


Union - 26.4

28.3

2

31.6

2

26.9

8

30.1

5

26.1

8

29.8

4

26.0

4

26.0

4

31.6

2 28.19


for

Class " C " Waters

25-31°C



B.2.6. Nitrate

Table 90 shows the monitoring data for the monitoring stations of the Naguilian River System. As

gleaned from the table, the Nitrate results revealed that all monitoring station met the DENR Water

Quality Guideline of ≤7 mg/L for Class C water classification.





STATIO

N

I.D

NAME OF STATION

Nitrate (mg/L)




Burgos, La Union -

<0.0

5

<0.0

5

<0.0

5 0.19

0.2

1 0.07 0.15 0.09 0.27 0.08

<0.0

5 0.27 0.11


La Union -

<0.0

5

<0.0

5

<0.0

5 0.15

0.1

7 0.08 0.18 0.09 <0.05 0.06

<0.0

5 0.18 0.08


Union -

<0.0

5

<0.0

5

<0.0

5 0.17

0.1

9 0.1 0.19 0.09 <0.05 <.05

<0.0

5 0.19 0.08


La Union - 0.15

<0.0

5

<0.0

5 0.1

0.1

8 0.12 0.24 0.09 0.05 0.60

<0.0

5 0.60 0.16


Union - 1.23 0.63 0.61 1.38

0.8

4 0.45 0.78 0.72 0.83 1.20 0.45 1.38 0.87


Union - 1.22 0.62 0.54 1.39

0.8

3 0.47 0.84 0.76 0.82 1.17 0.54 1.39 0.87


Naguilian, La Union - 0.83 0.47 0.5 1.27

0.7

9 0.44 0.8 0.76 0.70 1.11 0.47 1.27 0.77



0.1

8 0.56 0.32 0.11 0.07 0.11 0.07 0.56 0.23



0.1

9 0.9 0.67 --- 0.07 0.14 0.07 0.9 0.39


Naguilian, La Union - 0.3 0.07 0.1 1.01

0.8

7 0.49 1.2 0.73 0.85 1.06 0.07 1.06 0.67


Union - 0.05

<0.0

5 0.06 1.19 0.7 0.42 0.82 0.69 0.87 0.76

<0.0

5 1.19 0.56


for

Class " C " Waters

≤7



B.2.7. Phosphate


Phosphate results revealed that all except station NAG-2 in April met the DENR Water Quality

Guideline of ≤0.5 mg/L for Class C water classification.

Table 91. Phosphate Monitoring Data for CY 2019




STATION

I.D NAME OF STATION

Phosphate (mg/L)



La Union - 0.07 0.05

<0.0

5 0.05 0.06 0.06 0.07 0.07 0.09 0.07 0.05 0.09 0.06


Union -

<0.0

5

<0.0

5

<0.0

5

<0.0

5 0.08 0.07 0.07 0.08 0.19 0.08

<0.0

5 0.19 0.07


Union -

<0.0

5

<0.0

5

<0.0

5

<0.0

5 0.09 0.07 0.07 0.07 0.07 0.08

<0.0

5 0.09 0.06

NAG-3 Gueset Bridge - Naguilian, La

Union - 0.11

<0.0

5

<0.0

5 0.06 0.07 0.07 0.07 0.06 0.11 0.08

<0.0

5 0.11 0.07


Union - 0.11 0.06 0.11 0.13 0.1

<0.0

5 0.07 0.09 0.16 0.14

<0.0

5 0.11 0.10


Union - 0.11 0.06 0.11 0.14 0.11 0.07 0.08 0.09 0.09 0.15 0.06 0.11 0.10

NAG-2 Mamat-Ing Bridge- Naguilian,

La Union - 0.08 0.06 0.9 0.19 0.1 0.07 0.07 0.08 0.14 0.13 0.06 0.19 0.18



<0.0

5

<0.0

5 0.06 0.07 <0.05 0.05 0.06 0.07 0.05


Fernando, La Union - -- -- -- -- 0.05 0.06 0.07 --- <0.05 0.06 0.05 0.07 0.06


La Union -

<0.0

5

<0.0

5

<0.0

5 0.32 0.12 0.09 0.08 0.08 0.13 0.12 0.08 0.13 0.11


Union -

<0.0

5

<0.0

5

<0.0

5 0.25 0.12 0.06 0.08 0.08 0.12 0.12 0.06 0.25 0.10


Class " C " Waters ≤0.5



B.2.8. Chloride

Table 92 shows the Chloride Monitoring Data for CY 2019. As gleaned from the Table, the Chloride

results revealed that all monitoring stations met the DENR Water Quality Guideline of ≤350 mg/L for

Class C water classification.

Table 92. Chloride Monitoring Data for CY 2019




STATIO

N

I.D

NAME OF STATION

Chloride (mg/L)

Jan Feb Mar Apr Ma

y

Ju


Ma

x Ave


Burgos, La Union - <10 <10 <10 <10

<1

0 <10 <10 <10 <10 <10 <10 <10 <10


La Union - <10 <10 <10 <10

<1

0 <10 <10 <10 <10 <10 <10 <10 <10


Union - <10 <10 <10 <10

<1

0 <10 <10 <10 <10 <10 <10 <10 <10


La Union - <10 <10 <10 <10

<1

0 <10 <10 <10 <10 <10 <10 <10 <10


Union - 29 40 29 <10

<1

0 <10 <10 <10 <10 <10 <10 40 14.7


La Union - 29 30 39 <10

<1

0 <10 <10 <10 <10 <10 <10 39 14.7


Naguilian, La Union - 29 30 29 <10

<1

0 <10 <10 <10 <10 <10 <10 30 13.7



<1

0 <10 <10 <10 <10 <10 <10 <10 <10



<1

0 <10 <10 --- <10 <10 <10 <10 <10


Naguilian, La Union - 29 20 29 <10

<1

0 <10 <10 <10 <10 <10 <10 29 12.7


Union - 20 20 20 <10

<1

0 <10 <10 <10 <10 <10 <10 20 10.9


for

Class " C " Waters

≤350



B.2.9. Total Suspended Solids (TSS)

Table 93 presents the Total Suspended Solids Monitoring Data for the CY 2019. All except stations

NAG-1, NAG-2 and BAU-1 met the DENR water quality guideline (TSS ≤80 mg/L) for the Total

Suspended Solids parameter. The high concentration was attributed by natural surface run-off during

the on-set of rainy seasons.





STATIO

N

I.D

NAME OF STATION

Total Suspended Solids (TSS) (mg/L)

Jan Feb Mar Apr Ma

y

Ju


Ma

x Ave


Burgos, La Union - 2 <2 15 2 11 7 5 <2 <2 3 2 15 6


La Union - 3 2 5 4 18 10 3 3 <2 2 2 10 4


La Union - <2 <2 3 4 38 14 8 <2 <2 3 3 14 6


La Union - 10 24 7 23 20 14 4 3 19 6 3 24 12


Union - 2 3 7 55 31 32 8 2 2 3 2 55 13


La Union - 2 4 10 43 25 40 3 <2 <2 5 2 43 15


Naguilian, La Union - 2 4 3 95 32 33 4 3 2 3 2 95 17


Fernando, La Union - -- -- -- -- 4 20 4 3 <2 4 3 20 8


Fernando, La Union - -- -- -- -- 15 16 11 --- 3 8 3 16 10


Naguilian, La Union - 9 10 4 125 19 54 10 5 4 4 4 125 25


Union - 2 7 2 101 35 72 20 6 5 5 2 101 24


for

Class " C " Waters

80







PARAMETER MIN MAX GEOMEAN

Fecal Coliform (FC)

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov

BUR-2 Bolikewkew Bridge 2400 1300 7000 35000 790 700 2400 2400 330 1400 1300 700 35000 1940

BUR-1 Caoayan 2400 330 140 16000 330 11000 2400 2200 490 9200 1100 140 16000 1594

NAG-4 Batan Bridge 230 330 130 24000 230 24000 24000 2400 490 3500 1300 130 24000 1593

NAG-3 Gueset Bridge 490 230 130 24000 3500 4600 16000 9200 9200 790 330 130 24000 1996

BAG-2 Suyo 230 790 280 9200 54000 14000 2400 9200 330 9200 1100 230 54000 2521

BAG-1 Bagulin 230 230 490 24000 160000 1700 2400 16000 2400 2400 330 230 160000 2355

NAG-2 Mamat-ing Bridge 230 490 490 24000 160000 4600 160000 35000 9200 5400 170 170 160000 4974

SF-2 PAO-SUR -- -- -- -- -- 160000 5400 9200 2400 9200 790 790 160000 7194

SF-1 SACYUD -- -- -- -- -- 54000 5400 5400 --- 5400 1700 1700 54000 6792

NAG-1 Naguilian Bridge 3500 330 460 9200 160000 92000 24000 24000 2400 2400 490 330 160000 5413

BAU-1 Bauang 2400 79 23 130 92000 24000 24000 35000 790 790 700 23 92000 1746


Class “C” Water Classification 200 MPN/100ml



Table 95 displays the comparison of six (6) years annual geometric mean for Fecal Coliform (FC).

The Geometric mean of the results of monitoring for CY 2014 showed that all eleven (11) monitoring

stations exceeded the DENR Water Quality Guideline for Class C waters of 200 MPN/100ml. In CY

2015, the results of Fecal Coliform shows that all monitoring stations did not meet the water quality

guideline, although the annual geometric mean of the monitoring displayed better results as compared

to the results obtained in CY 2014, the monitoring results in CY 2016 revealed that all monitoring

stations still did not meet the DENR Water Quality Guideline with ten (10) monitoring stations

showing an increase in Fecal Coliform concentration, with only NAG-4 station showing an

improvement in water quality. The annual Geometric mean for CY 2017, CY 2018 and CY 2019

recorded that all stations exceeded the DENR Water Quality Guideline.

Table 95. Comparison of six (6) years annual geometric mean for Fecal Coliform (FC)

Stations Locations Fecal Coliform (FC)

CY 2014 CY 2015 CY 2016 CY 2017 CY 2018 CY 2019

NAG-1 Naguilian Bridge 24384 357 1268 7023 3325 1940

NAG-2 Mamat-ing

Bridge 3136 347 1323 2373 894 1594

NAG-3 Gueset Bridge 14555 216 736 6121 1818 1593

NAG-4 Batan Bridge 6828 531 226 2683 1637 1996

BAG-1 Bagulin Bridge 10071 385 652 4150 940 2521

BAG-2 Suyo Bridge 10162 279 637 6179 2047 2355

BUR-1 Caoayan Bridge 4805 284 470 7729 3153 4974

BUR-2 Bolikewkew

Bridge 3561 17553 1225 2556 782 7194

BAU-1 Bauang Bridge 14992 533 1396 2775 1737 6792

SF-1 Pao Sur 5550 326 520 9233 7846 5413

SF-2 Sakyud 7000 2666 357 27753 2293 1746

DENR Water Quality

Guideline set for Class “C”

Waters

200 MPN/ 100 mL



Table 96 is the annual averages of the ten (10) primary parameters monitored for CY 2019. All the

averages are with the Water Quality Guideline for C waters except for the Geomean for Fecal

Coliform.

Table 96. ANNUAL AVERAGES OF THE PRIMARY PARAMETERS, CY 2019


Table 97 and Table 98 shows the results of the heavy metal analysis on various sampling points of the

NRS WQMA in CY 2018 and CY 2019, respectively.

a. Arsenic (As)

The results of monitoring in the five (5) established monitoring stations are far below the water

quality guideline of 0.02 mg/l Arsenic with values of less than 0.01 mg/L.

b. Cadmium (Cd)

The potential sources of cadmium are from electroplating activities and batteries. The results of the

Heavy Metal Analysis for Cadmium recorded less than 0.006 mg/L which is higher the water quality

guideline of 0.005 mg/L.

Station

ID

NAME OF

STATION

PARAMETERS

Averages Geometric

Mean

pH DO BOD NO3-N PO4 Cl- Color Temp TSS (FC)

BUR-2 Bolikewkew

Bridge 8.0 8.3 4 0.11 0.06 <10 5 28.58 6 1940

BUR-1 Caoayan

Bridge 8.2 8.3 3 0.08 0.07 <10 6 29.01 4 1594

NAG-4 Batan Bridge 8.1 8.3 3 0.08 0.06 <10 8 29.80 6 1593

NAG-3 Gueset

Bridge 8.2 9.2 3 0.16 0.07 <10 8 29.96 12 1996

BAG-2 Suyo Bridge 8.5 8.8 3 0.87 0.10 14.7 6 28.98 13 2521

BAG-1 Bagulin

Bridge 8.5 8.6 4 0.87 0.10 14.7 6 29.52 15 2355

NAG-2 Mamat-Ing

Bridge 8.2 8.6 4 0.77 0.18 13.7 7 30.10 17 4974

SF-2 PAO-SUR 8.2 8.2 3 0.23 0.05 <10 8 30.71 8 7194

SF-1 SACYUD 8.2 7.7 4 0.39 0.06 <10 9 30.54 10 6792

NAG-1 Naguilian

Bridge 8.3 7.9 2 0.67 0.11 12.7 7 29.03 25 5413

BAU-1 Bauang

Bridge 8.2 7.6 2 0.56 0.10 10.9 7 28.19 24 1746

DENR Water Quality

Guideline set for Class

“C” Water

Classification

6.0-

9.0

5.0

mg/L

7.0

mg/L

7.0

mg/L

0.5

mg/L

350

mg/L

75

TCU

25-31

°C

80.0

mg/L

200 MPN/

100 ml



c. Chromium (Cr)

Chromium compounds are primarily used in dyes and paints and in the tanning of leather. In the

automobile industry, hexavalent chromium is found in the primer paints for refinishing applications.

The five stations of the NRS WQMA that were tested for the presence of chromium obtained results

that are under the DENR water quality guideline standard of 0.05 mg/L.

d. Copper (Cu)

All five representative stations of the NRS-WQMA attained a value of <0.01μg/L. All are within the

DENR water quality guideline of 0.02 mg/L.

e. Lead (Pb) Five stations that are representative of each LGUs were tested for Lead Concentration, all five stations

yielded values that are less than 0.05 mg/L, the DENR set Guideline for Lead.

f. Mercury The representative stations all yielded <0.0001 values of mercury, they have met the DENR water

quality guideline of 0.002 mg/L.

g. Zinc (Zn)

The two (2) years monitoring data (CY 2018 and CY 2019) recorded <0.03 mg/L which are far below

the water quality guideline value of 2 mg/L.

Table 97. Heavy Metal Monitoring Data, CY 2018


Water

Quality

Guideline

for Class C

Waters

(mg/L)

NAG-1 BAG-1 BUR-1 BAU-1 SF-1

Arsenic <0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

0.02

Cadmium <0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

0.05

Chromium <0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

0.05

Copper <0.01 <0.01 <0.01 <0.01 <0.01 0.01

Lead <0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

0.05

Zinc <0.03 <0.03 <0.03 <0.03 <0.03 2

Mercury <0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

0.002





Table 99 shows the results of Inorganic Compounds Monitoring Data for CY 2018 and CY 2019.

Ammonia

The results of analysis for the presence of Ammonia exceedance were noted at stations NAG-1,

BAG-1 and BAN-1.

Cyanide, Free

The results of the analysis for the presence of free Cyanide reveals that the five (5) monitoring

stations met the DENR water quality guideline of 0.05 µg/L.

Nitrates

The results of the analysis for the presence of Nitrates show that the five (5) monitoring stations

met the DENR water quality guideline of 7.0 mg/L.

Phosphates

The results of the analysis for the presence of Phosphates showed that the five (5) monitoring

stations met the DENR water quality guideline of 0.5 mg/L.


Water

Quality

Guideline

for Class C

Waters

(mg/L)

NAG-1 BAG-1 BUR-1 BAU-1 SF-1

Arsenic <0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

0.02

Cadmium <0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

0.005

Chromium <0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

0.05

Copper <0.01 <0.01 <0.01 <0.01 <0.01 0.01

Lead <0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

0.05

Zinc <0.03 <0.03 <0.03 <0.03 <0.03 2

Mercury <0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

0.002



Table 99. Inorganic Compounds Monitoring Data, CY 2018 and CY 2019

Paramete

rs

MONITORING STATIONS DENR

Water

Quality

Guidelin

e for

Class C

Waters

(mg/L)

NAG-1 BAG-1 BUR-1 BAU-1 NAG-4

CY

2018

CY

2019

CY

2018

CY

2019

CY

2018

CY

2019

CY

201

8

CY

201

9

CY

2018

CY

2019

Ammonia 0.00

8

0.00

6 1.3 1.1 <0.003 <0.003 0.07 0.06 0.04 0.05 0.05

Cyanide,

Free

<0.0

2

<0.0

2

<0.0

2

<0.0

2 <0.05 <0.05 0.04 0.03

<0.0

2

<0.0

2 0.1

Nitrate 1.7 1.2 2.1 1.8 <0.000

2

<0.000

2 1.1 1.3 0.1 0.2 7.0

Phosphat

e 0.1 0.1 0.2 0.1 <0.007 <0.007 0.09 0.08 0.07 0.06 0.5







Table 100. OrganoChlorine Pesticide Monitoring Data, CY 2018

Parameters


Quality

Guideline for

Class C Waters

(µg/L)

Naguilian

Bridge

Bagulin

Bridge

Caoayan

Bridge

Bauang

Bridge

Sakyud

SFC






Alpha

Chlordane ND ND ND ND ND No Guideline


Chlordane

(tech) ND ND ND ND ND No Guideline





Endosulfan



Endrin

Aldehyde ND ND ND ND ND No Guideline


Gamma-BHC



Heptachlor




(ND)- not detected





Quality

Guideline for

Class C

Waters (µg/L)

Naguilian

Bridge

Bagulin

Bridge

Caoayan

Bridge

Bauang

Bridge

Batan

Bridge

4,4’-DDD ND ND ND ND ND

No Guideline

4,4’-DDE ND ND ND ND ND

No Guideline

4,4’-DDT ND ND ND ND ND

No Guideline

Aldrin ND ND ND ND ND

No Guideline


Alpha

Chlordane ND ND ND ND ND

No Guideline


Chlordane

(tech) ND ND ND ND ND

No Guideline


Dieldrin ND ND ND ND ND

No Guideline



Endosulfan

Sulfate ND ND ND ND ND

No Guideline


Endrin

Aldehyde ND ND ND ND ND

No Guideline


Gamma-BHC

(Lindane) ND ND ND ND ND

No Guideline


Heptachlor

Epoxide ND ND ND ND ND

No Guideline











Quality Guideline

for Class C

Waters (µg/L)

Naguilian

Bridge

Bagulin

Bridge

Caoayan

Bridge

Bauang

Bridge

Batan

Bridge























Quality Guideline

for Class C

Waters (µg/L)

Naguilian

Bridge

Bagulin

Bridge

Caoayan

Bridge

Bauang

Bridge

Batan

Bridge























B.3. LOWER AMBURAYAN RIVER SYSTEM – WATER QUALITY MANAGEMENT

AREA (LARS-WQMA)

The Lower Amburayan River System (LARS) Water Quality Management Area (WQMA) was

officially designated pursuant to DENR Administrative Order No. 03 series of 2018 dated January 26,

2018. The LARS-WQMA covers three municipalities in the province La Union and six municipalities

in the province of Ilocos Sur that are within and share the watershed of the Lower Amburayan River

System. These are the municipalities of Bangar, Santol & Sudipen in La Union and Alilem,

Cervantes, Sigay, Sugpon, Suyo & Tagudin in Ilocos Sur.

There are 76 barangays within the Lower Amburayan River System, with a total of 15,121 households

and a population of 73,730 as of 2015.

The Lower Amburayan River Water Quality Management Area falls inside the geographical

coordinates of 120º23’53.44” & 120º42’04.27” east longitudes and 16º37’07.06” & 17º04’43.94”

north latitudes. It is bounded in the north by the municipalities of Santa Cruz, Sigay and Del Pilar.

The eastern part is bounded by the municipalities of Cervantes, Bakun and Kibungan; on the south are

the municipalities of Kapangan and San Gabriel; and on its west, are the municipalities of Santol,

Sudipen and Tagudin.

The headwater of the Lower Amburayan River System originates from the province of Benguet. Its

upstream location is in Sigay, Cervantes, Sugpon, Suyo and Santol in the north east, while

downstream portions are in Bangar, Tagudin, Alilem and Sudipen in the north west.

The river has been officially classified as Class C water body in 1997.



classification.

The CY 2019 annual averages of the monitoring data for the parameters BOD, DO, pH, Color,

Nitrate, Phosphate and Chloride revealed that all monitoring stations met their respective DENR

Water Quality Guideline for Class C water classification.

The comparison of the geometric mean for Fecal Coliform from all monitoring stations of the LARS


CY 2015 showed that only SUG-1 station exceeded the DENR Water Quality Guideline for Class C

water classification of 200 MPN/100ml. In CY 2016, the results of Fecal Coliform shows that all

monitoring stations met the water quality guideline. The monitoring results in CY 2017 revealed that

all monitoring stations did not meet the DENR Water Quality Guideline showing an increase in Fecal

Coliform concentration. The annual Geometric mean for CY 2018 and CY 2019 recorded that all

stations exceeded the DENR Water Quality Guideline except ALI-1 station in CY 2018.

For the parameters Trace Metals, Inorganic Compounds, OrganoChlorine Pesticides and

OrganoPhosphorous Pesticides for CY 2018 and CY 2019, the monitoring data revealed that all

representative stations met their corresponding Water Quality Guideline. The OrganoChlorine

Pesticides and OrganoPhosphorous Pesticides recorded non-detection for traces of pesticides for the

two (2) consecutive years.

MONITORING RESULTS OF LOWER AMBURAYAN RIVER SYSTEM

Nine stations were established for the water quality monitoring of the river system. Three of the nine

stations are located in the Province of La Union and the remaining stations are located in the Province

of Ilocos Sur. Table 75 presents the monitoring stations of the Lower Amburayan River System

WQMA.



Since May 2015, monitoring was conducted and continued to be done during the first year after the

WQMA was officially designated. As per DAO-2016-08, water quality monitoring for the primary

parameters will be continuously monitored for the whole year.

The parameters monitored for CY 2015 as baseline are: potential of Hydrogen (pH), Dissolved

Oxygen (DO), five-day Biochemical Oxygen Demand (BOD5), Total Suspended Solids (TSS), Total

Coliform and Fecal Coliform. Samples from designated monitoring stations were analysed at EMB

Region 1 Laboratory. Other primary parameters such as Nitrate, Phosphate, Color, Temperature and

Chloride were also included starting January, CY 2019 in compliance with DAO 2016-08.

Table 104. The Monitoring stations of the Lower Amburayan River System WQMA

Station

ID Nos. Location Municipality

Initial Date

of sampling

GPS Locations

Latitude Longitude

SUY-1 Urzadan, Suyo Suyo,

Ilocos Sur May 2015 120°31’18.99” N 16°58’45.68” E

SUY-2 Poblacion, Suyo Suyo,

Ilocos Sur July 2015 120°30’29.89” N 16°58’48.08” E

ALI-3 Amilongan B,

Alilem

Alilem,

Ilocos Sur May 2015 120°34’53.84” N 16°51’06.26” E

ALI-4 Poblacion,

Alilem

Alilem,

Ilocos Sur Jan 2016 120°31’53.90” N 16°53’03.40” E

SUG-1 Balbalayang,

Sugpon

Sugpon,

Ilocos Sur May 2015 120°32’04.74” N 16°49’03.76” E

SUD-1 Duplas-Bulaan,

Sudipen

Sudipen,

La Union May 2015 120°29’54.32” N 16°49’49.67” E

ALI-1 Dalawa, Alilem Alilem,

Ilocos Sur May 2015 120°30’32.77” N 16°50’57.14” E

SUD-2

Doña Alicia

Memorial

Bridge, Sudipen

Sudipen,

La Union May 2015 120°27’43.97” N 16°54’48.34” E

BAN-2 Ma. Cristina

West, Bangar

Bangar,

La Union May 2015 120°25’45.54” N 16°54’01.27” E

The results of the water quality monitoring of the nine (9) monitoring stations in the Lower

Amburayan River System Water Quality Management Area for 2019 are to wit:




Table 105 shows the Potential of Hydrogen (pH) Monitoring Data for CY 2019. The monitoring data

revealed that all monitoring stations met the DENR Water Quality Guideline of 6.5-9.0 pH range.

Moroever, the annual average for all the monitoring stations met the DENR Water Quality Guideline.


(*) Dried-up river bed

(-) Inaccessibility of monitoring station

(--) Prescribed Frequency of Water Quality Monitoring (10 Months) as per DAO 2016-08 has already

been met

Table 106 shows the Comparison of five (5) year annual averages for Potential of Hydrogen (pH)

monitoring data. Tabulated data reflected that the yearly averages from CY 2016 to CY 2019 are

within the DENR guideline for Class C water classification of 6.5 to 9.0. Most stations recorded

exceedances in CY 2015. The pH recorded values showed improvements from CY 2016 to CY 2019.

Table 106. Comparison of five (5) year annual average for Potential of Hydrogen (pH)

Stations Locations Potential of Hydrogen (pH)

CY 2015 CY 2016 CY 2017 CY 2018 CY 2019

SUY-1 Urzadan, Suyo 5.63 7.1 8.4 8.2 8.1

SUY-2 Poblacion, Suyo 5.79 7.3 8.4 8.4 8.2

ALI-3 Amilongan B, Alilem 5.40 6.6 8.4 8.1 8.1

ALI-4 Poblacion, Alilem 5.57 6.8 8.4 8.3 8.2

SUG-1 Balbalayang, Sugpon 5.50 7.2 8.2 8.2 8.1

SUD-1 Duplas-Bulaan, Sudipen 5.94 6.9 8.1 8.3 8.3

ALI-1 Dalawa, Alilem 5.80 7.0 8.3 8.1 8.1

SUD-2 Doña Alicia Memorial Bridge, Sudipen 6.04 7.5 8.2 8.2 8.0

BAN-2 Ma. Cristina West, Bangar 5.66 7.1 8.3 8.3 8.0

DENR Water Quality Guideline for Class “C”

Water Classification 6.5-9.0

STATIO

N

I.D

NAME OF STATION


Jan Feb Ma

r Apr

Ma

y

Ju


Ma

x Ave

SUY-1 Urzadan, Suyo 8.6 7.9 8.1 8.4 8.9 - 8.0 7.7 7.7 8.0 7.5 7.5 8.9 8.1

SUY-2 Poblacion, Suyo 8.2 8.3 8.4 8.6 8.7 - 8.2 7.8 7.5 7.7 - - 7.5 8.7 8.2

ALI-3 Amilongan B, Alilem 8.8 8.6 8.7 8.6 8.6 8 7.9 7.4 7.2 7.5 - - 7.2 8.8 8.1

ALI-4 Poblacion, Alilem 8.6 8.9 8.4 8.7 8.8 8 8.0 7.2 7.2 7.9 - - 7.2 8.9 8.2

SUG-1 Balbalayang, Sugpon 8.4 8.6 8.4 8.5 8.7 7.8 8.4 7.0 7.5 7.3 - - 7 8.7 8.1

SUD-1 Duplas-Bulaan, Sudipen 8.7 10.1 * * 8.5 8.1 8.4 7.7 7.8 8.0 7.81 7.7 10.1 8.3

ALI-1 Dalawa, Alilem 8.2 8.4 8.3 8.4 8.7 8 8.2 7.0 7.4 7.9 - - 7 8.7 8.1

SUD-2 Doña Alicia Memorial Bridge, Sudipen 8.6 8.2 8.6 8.7 8.7 - 7.9 7.5 7.0 7.1 7.7 7 8.7 8.0

BAN-2 Ma. Cristina West, Bangar 8.3 8.4 7.8 8.0 8.4 7.3 8.4 7.1 7.8 8.0 - - 7.1 8.4 8.0


Class " C " Waters 6.5-9.0



B.3.2. Dissolved Oxygen (DO)

Table 107 presents the Dissolved Oxygen (DO) Monitoring Data for CY 2019. As reflected from the

table, all stations met the DENR water quality guideline of ≥5 mg/L for Class C water classification.

The annual averages of the DO showed that all of the monitoring stations met the DENR water quality

guideline of ≥5.0 mg/L to sustain aquatic life.





been met

Table 108 shows the comparison of five (5) years annual average for Dissolved Oxygen (DO)

monitoring in all nine (9) monitoring stations of the LARS-WQMA. The table shows that the water

quality from CY 2015 to CY 2019 constantly meets the DENR minimum Water Quality Guideline of

5.0 mg/L.

Table 108. Comparison of five (5) years annual average data for Dissolved Oxygen

Stations Locations

Dissolved Oxygen

CY 2015 CY 2016 CY

2017

CY 2018 CY 2019

SUY-1 Urzadan, Suyo 9.2 9.8 8.6 8.4 8.2

SUY-2 Poblacion, Suyo 8.2 10.4 9.9 8.7 8.3

ALI-3 Amilongan B, Alilem 9.4 14.5 8.7 8.5 8.8

ALI-4 Poblacion, Alilem 8.2 10.6 8.9 8.8 8.9

SUG-1 Balbalayang, Sugpon 8.5 13.5 8.4 8.5 8.4

SUD-1 Duplas-Bulaan, Sudipen 8.8 10.8 9.3 8.9 10.2

ALI-1 Dalawa, Alilem 9.9 12.2 9.0 8.2 8.5

SUD-2 Doña Alicia Memorial Bridge,

Sudipen 8.1 11.6 10.1 8.8 8.6

BAN-2 Ma. Cristina West, Bangar 9.3 15.4 9.3 8.3 8.2


“C” Water Classification ≥5.0 mg/L

STATIO

N

I.D

NAME OF STATION Dissolved Oxygen (DO) (mg/L)


SUY-1 Urzadan, Suyo 8.70 7.2 9.1 8.90 7.5 - 8.0 8.6 7.9 8.4 7.5 7.2 9.1 8.2

SUY-2 Poblacion, Suyo 8.70 8.5 8.2 8.40 8 - 7.7 8.6 8.1 8.8 - - 7.7 8.8 8.3

ALI-3 Amilongan B, Alilem 9.30 9.2 8.4 8.00 8.4 <10 8.8 8.6 8.6 8.9 - - 8 10 8.8

ALI-4 Poblacion, Alilem 9.10 10.4 8.4 8.60 8.1 <10 8.4 9.1 8.2 8.9 - - 8.1 10.4 8.9

SUG-1 Balbalayang, Sugpon 8.20 8.7 7.3 8.30 8.1 <10 8.3 8.2 8.0 9.1 - - 0 9.1 8.4

SUD-1 Duplas-Bulaan, Sudipen 12 20.6 * * 8.2 <10 7.8 7.9 7.5 8.7 8.9 7.5 20.6 10.2

ALI-1 Dalawa, Alilem 8.60 8.8 7.8 8.00 7.8 <10 8.4 8.9 8.2 8.5 - - 7.8 10 8.5

SUD-2 Doña Alicia Memorial Bridge,

Sudipen 9.10 8 9.2 9.90 8.1 - 8.0 8.9 8.3 8.6 7.7 7.7 9.9 8.6

BAN-2 Ma. Cristina West, Bangar 7.50 9.7 7 7.40 7.5 <10 8.2 8.6 7.7 8.7 - - 7 10 8.2


Class " C " Waters ≥5.0



B.3.3. Biochemical Oxygen Demand (BOD)

Table 109 shows the monitoring data of Biochemical Oxygen Demand (BOD for CY 2019. All nine

(9) monitoring stations met the DENR water quality guideline (BOD ≤7 mg/L) for Class C water

classification.





been met

STATIO

N

I.D

NAME OF

STATION

Biochemical Oxygen Demand (BOD) (mg/L)

Jan Feb Mar Apr Ma

y

Ju


Ma

x Ave

SUY-1 Urzadan, Suyo 3.00 <1 6 2.00 2 - <1 2 <1 <1 - 2 6 2

SUY-2 Poblacion, Suyo 3.00 <1 <1 3.00 2 - <1 <1 <1 1 - 1 3 2

ALI-3 Amilongan B,

Alilem 2.00 <1 2 2.00 5 2 <1 <1 <1 <1 - 2 5 2

ALI-4 Poblacion, Alilem 2.00 <1 2 <1 2 <1 <1 <1 <1 <1 - 2 2 1

SUG-1 Balbalayang,

Sugpon 3.00 3 2 2.00 5 2 <1 <1 <1 1 - 1 5 2


Sudipen 1.00 3 * * 2 4 <1 <1 <1 <1 - 1 4 2

ALI-1 Dalawa, Alilem 1.00 <1 2 2.00 2 3 <1 <1 <1 1 - 1 3 2

SUD-2

Doña Alicia

Memorial Bridge,

Sudipen

2.00 <1 3 2.00 5 - <1 <1 <1 <1 - 2 5 2

BAN-2 Ma. Cristina West,

Bangar 2.00 2 5 2.00 4 2 <1 <1 <1 1 - 1 5 2


Value for

Class " C " Waters

≤7.0



Table 110 shows the comparison of five (5) years annual average for Biochemical Oxygen Demand

(BOD) data. The annual average for Biochemical Oxygen Demand from CY 2015 to CY 2019

revealed that the nine (9) monitoring stations met the DENR Water Quality Guideline of ≤7.0mg/L

for Class C water classification.

Table 110. Comparison of five (5) years annual average for Biochemical Oxygen Demand

Station

ID Locations

Biochemical Oxygen Demand

CY

2015

CY

2016

CY

2017

CY

2018

CY

2019

SUY-1 Urzadan, Suyo 2 1 2 2 2

SUY-2 Poblacion, Suyo 2 2 2 2 2

ALI-3 Amilongan B, Alilem 1 1 1 2 2

ALI-4 Poblacion, Alilem 2 2 2 3 1

SUG-1 Balbalayang, Sugpon 2 2 2 2 2

SUD-1 Duplas-Bulaan, Sudipen 2 2 2 2 2

ALI-1 Dalawa, Alilem 1 2 2 3 2

SUD-2 Doña Alicia Memorial Bridge, Sudipen 2 1 2 2 2

BAN-2 Ma. Cristina West, Bangar 1 2 2 3 2

DENR Water Quality Guideline for Class “C”

Water Classification ≤7 mg/L

B.3.4. Color

Based on the tabulated monitoring data for CY 2019 in Table 111, all nine (9) stations met the

maximum Color requirement of 75 TCU. The Color values range from 5 TCU to 15 TCU. Figure 51

is the graphical presentation for Color monitoring for the CY 2019.





been met

STATIO

N

I.D

NAME OF STATION

Color (TCU)

Jan Feb Ma

r Apr

Ma

y

Ju


Ma

x Ave

SUY-1 Urzadan, Suyo 5 <5 <5 <5 15 - 10 5 5 <5 <5 5 15 7

SUY-2 Poblacion, Suyo 5 5 <5 5 15 - 5 5 5 <5 - - 5 15 6

ALI-3 Amilongan B, Alilem 5 5 <5 5 5 <5 10 <5 5 <5 - - 5 10 6

ALI-4 Poblacion, Alilem 5 5 <5 10 5 5 10 <5 5 <5 - - 5 10 6

SUG-1 Balbalayang, Sugpon 5 <5 <5 5 10 5 10 5 5 <5 - - 5 10 6

SUD-1 Duplas-Bulaan, Sudipen 5 15 * * 15 10 10 5 5 5 <5 5 15 8

ALI-1 Dalawa, Alilem 5 <5 <5 5 5 5 5 5 5 <5 - - 5 5 5

SUD-2 Doña Alicia Memorial

Bridge, Sudipen 5 5 <5 <5 15 - 10 5 5 <5 <5 5 15 7

BAN-2 Ma. Cristina West, Bangar 5 5 <5 <5 10 10 5 <5 <5 <5 - - 5 10 6


for Class " C " Waters ≤75 TCU



B.3.5. Temperature

Tables 112 shows the Temperature Monitoring Data for Class C Water Type. Several monitoring

stations did not meet the DENR Water Quality Guideline (25-31°C) for temperature.




(--) Defective Water Quality Checker

STATIO

N

I.D

NAME OF

STATION

Temperature (°C)

Jan Feb Ma

r Apr

Ma

y Jun Jul Aug Sep Oct Nov Min

Ma

x Ave

SUY-1 Urzadan, Suyo 31.0

4

29.5

8

31.3

2

33.9

6 28.5 -

26.1

4

27.3

6 24.33 -- --

24.3

3

33.9

6 29.03

SUY-2 Poblacion, Suyo 28.4

7

33.4

2

30.7

9

32.9

3

27.9

6 -

27.0

1

27.7

5 24.33 -- --

24.3

3

33.4

2 29.08

ALI-3 Amilongan B,

Alilem 29

29.8

1

27.7

2

29.3

8

31.0

5 --

24.1

3

23.4

6 22.03 -- --

22.0

3

31.0

5 27.07

ALI-4 Poblacion, Alilem 28.5

4

28.2

7

29.1

1

29.6

9 32.5 --

24.8

7

23.5

2 22.75 -- --

22.7

5 32.5 27.41

SUG-1 Balbalayang,

Sugpon 29.3

26.8

3

28.7

7

31.4

5

27.8

4

29.7

9

28.1

5

25.9

5 23.8 -- -- 23.8

31.4

5 27.99


Sudipen

26.8

9

26.8

8 * * 29.7

30.9

2

28.9

5 27.2 24.97 -- --

24.9

7

30.9

2 27.93

ALI-1 Dalawa, Alilem 28.9

5

25.6

8

29.8

2

31.1

4

30.5

2 --

25.7

9

26.0

7 23.89 -- --

23.8

9

31.1

4 27.73

SUD-2

Doña Alicia

Memorial Bridge,

Sudipen

29.8

5

28.5

3

31.6

7

33.9

4

30.1

8 -

26.6

3

25.5

1 24.52 -- --

24.5

2

33.9

4 28.85


Bangar

30.5

3 30.8

28.7

8

30.3

9

31.2

9

29.9

7

26.9

9

25.3

6 24.02 -- --

24.0

2

31.2

9 28.68

DENR Water Quality

Guideline Value for

Class " C " Waters

25-31°C



B.3.6. Nitrate

Table 113 shows the Nitrate Monitoring Data CY 2019 for the nine (9) established monitoring

stations of the Lower Amburayan River System. As gleaned from the table, the Nitrate results

revealed that all monitoring station met the DENR Water Quality Guideline of ≤7 mg/L for Class C






been met

STATIO

N

I.D

NAME OF

STATION

Nitrate (mg/L)



Ma

x Ave


6 0.08 0.06 <0.05 0.57 - <0.05 0.12

0.0

9 <0.05 <0.05 0.05 0.57 0.12


5 <0.05 0.05 <0.05 0.5 - 0.09 0.12 0.1 <0.05 - - 0.05 0.5 0.12

ALI-3 Amilongan B,

Alilem

0.3

6 0.19 <0.05 0.48 0.4

0.3

6 0.23 0.61

0.6

2 0.31 - - 0.05 0.62 0.36


0 <0.05 0.05 0.55 0.31 0.3 0.21 0.47 0.5 0.32 - - 0.05 0.55 0.30

SUG-1 Balbalayang,

Sugpon

0.2

2 0.11 0.09 0.17 0.38

0.4

7 0.39 0.63

0.6

6 0.45 - - 0.09 0.66 0.36


Sudipen

0.0

7 <0.05 * * 0.47

0.0

8 0.09 0.45

0.2

5 <0.05 0.07 0.05 0.47 0.18


2 0.11 0.09 0.22 0.33

0.3

3 0.25 0.46

0.5

6 0.39 - - 0.09 0.56 0.30

SUD-2

Doña Alicia

Memorial Bridge,

Sudipen

0.2

2 0.23 0.33 0.05 0.39 - 0.10 0.20

0.1

6 0.05 0.18 0.05 0.39 0.19

BAN-2 Ma. Cristina

West, Bangar

0.2

5 0.12 0.18 0.16 -

0.3

3 0.26 0.56

0.4

9 0.30 - - 0.12 0.56 0.29

DENR Water Quality

Guideline Value for Class "

C " Waters

≤7.0 mg/L



B.3.7. Phosphate

Table 114 shows the Phosphate Monitoring Data CY 2019 for the nine (9) established monitoring

stations of the Lower Amburayan River System. As gleaned from the table, the Phosphate data

revealed that all monitoring stations met the DENR Water Quality Guideline of ≤0.5 mg/L for Class C






been met

STATIO

N

I.D

NAME OF

STATION

Phosphate (mg/L)

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Min Ma

x Ave


5

<0.0

5

<0.0

5

<0.0

5

<0.0

5 -

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5 0.05 0.05 0.05


5

<0.0

5

<0.0

5

<0.0

5

<0.0

5 -

<0.0

5

<0.0

5

<0.0

5

<0.0

5 - - 0.05 0.05 0.05

ALI-3 Amilongan B,

Alilem

0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5 0.20

<0.0

5

<0.0

5 - - 0.05 0.2 0.07


5

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5 0.17

<0.0

5

<0.0

5 - - 0.05 0.17 0.06

SUG-1 Balbalayang,

Sugpon

0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5 0.43 0.05

<0.0

5 - - 0.05 0.43 0.09


Sudipen

0.0

5

<0.0

5 * * 0.08

<0.0

5

<0.0

5 0.17

<0.0

5

<0.0

5

<0.0

5 0.05 0.17 0.07


5

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5 0.19 0.06

<0.0

5 - - 0.05 0.19 0.07

SUD-2

Doña Alicia

Memorial Bridge,

Sudipen

0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5 -

<0.0

5 0.08

<0.0

5

<0.0

5

<0.0

5 0.05 0.08 0.05


Bangar

0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5

<0.0

5 0.32

<0.0

5

<0.0

5 - - 0.05 0.32 0.08

DENR Water Quality

Guideline Value for Class " C

" Waters

≤0.5 mg/L



B.3.8. Chloride

Table 115 shows the Chloride Monitoring Data CY 2019 for the nine (9) established monitoring

stations of the Lower Amburayan River System. As gleaned from the table, the Chloride results

revealed that all monitoring station met the DENR Water Quality Guideline of ≤350 mg/L for Class C






been met

STATIO

N

I.D

NAME OF

STATION

Chloride (mg/L)


x Ave

SUY-1 Urzadan, Suyo <10 <10 <10 <10 <10 - <10 <10 <10 <10 <10 10 10 10

SUY-2 Poblacion, Suyo <10 <10 <10 <10 <10 - <10 <10 <10 <10 - - 10 10 10

ALI-3 Amilongan B,

Alilem <10 <10 <10 <10 <10 <10 <10 <10 <10 <10 - - 10 10 10

ALI-4 Poblacion, Alilem <10 <10 <10 <10 <10 <10 <10 <10 <10 <10 - - 10 10 10

SUG-1 Balbalayang,

Sugpon <10 <10 <10 <10 <10 <10 <10 <10 <10 <10 - - 10 10 10


Sudipen <10 <10 * * <10 <10 <10 <10 <10 <10 <10 10 10 10

ALI-1 Dalawa, Alilem <10 <10 <10 20.0

0 <10 <10 <10 <10 <10 <10 - - 10 20 11

SUD-2

Doña Alicia

Memorial Bridge,

Sudipen

<10 <10 <10 <10 <10 - <10 <10 <10 <10 <10 10 10 10


Bangar <10 <10 <10 <10 <10 <10 <10 <10 <10 <10 - - 10 10 10

DENR Water Quality


" Waters

≤350 mg/L



B.3.9. Total Suspended Solids (TSS)

Table 116 presents the Total Suspended Solids Monitoring Data for CY 2019. All monitoring stations

except stations ALI-3, ALI-4, ALI-1, SUG-1 and BAN-2 in the month of August met the DENR

water quality guideline (TSS ≤80 mg/L) for the Total Suspended Solids parameter.





been met

B.3.10. Fecal Coliform

Results of the Fecal Coliform Monitoring data is presented in Table 117. The annual geometric mean

shows that all monitoring stations did not meet the DENR water quality guideline of 200 MPN/100

ml.

STATIO

N

I.D

NAME OF

STATION

Total Suspended Solids (mg/L)


x Ave

SUY-1 Urzadan, Suyo 2 3 3 <2 <2 - 8 25 2 3 3 2 25 5

SUY-2 Poblacion, Suyo 2 <2 54 3 14 - 8 22 4 <2 - - 2 54 12

ALI-3 Amilongan B,

Alilem 2 4 2 11 64 21 16 314 16 <2 - - 2 314 45

ALI-4 Poblacion, Alilem 2 2 2 16 22 6 31 245 3 3 - - 2 245 33

SUG-1 Balbalayang,

Sugpon 3 3 2 <2 25 10 9 776 40 15 - - 2 776 12


Sudipen 1 3 * * 24 4 16 7 9 <2 <2.0 1 24 8

ALI-1 Dalawa, Alilem 8 4 2 14 21 13 35 454 30 11 - - 2 454 59

SUD-2

Doña Alicia

Memorial Bridge,

Sudipen

2 5 7 4 <80 - 12 73 8 <2 <2.0 2 80 20


Bangar 12 21 11 7 20 22 19 713 17 6 - - 6 713 85

DENR Water Quality

Guideline

Value for Class " C " Waters

≤80 mg/L



Station

ID

NAME OF

STATION

PARAMETER

Min Max Geomean

Fecal Coliform (FC)

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

SUY-1 Urzadan,

Suyo 280 330 23 2400 54000 - 1300 21000 16000 1100 9200 5400 23 21000 2224

SUY-2 Poblacion,

Suyo 170 790 79 330 24000 - 790 160000 5400 3500 - - 79 160000 1802

ALI-3 Amilongan

B, Alilem 49 130 23 3500 35000 3500 490 320 94 2400 16000 16000 49 35000 954

ALI-4 Poblacion,

Alilem 230 490 110 3500 92000 170 1100 790 9200 490 2400 3500 110 92000 1295

SUG-1 Balbalayang,

Sugpon 79 46 23 230 24000 170 790 79 700 2400 2400 5400 46 24000 467

SUD-1

Duplas-

Bulaan,

Sudipen

790 110 * * >160000 2400 4600 9200 490 5400 230 - 110 160000 2118

ALI-1 Dalawa,

Alilem 23 79 280 2400 24000 790 2400 35000 790 2400 3500 35000 23 35000 1664

SUD-2

Doña Alicia

Memorial

Bridge,

Sudipen

790 70 33 22 35000 - 3500 43000 4600 2200 5400 5400 22 43000 1456

BAN-2

Ma. Cristina

West,

Bangar

24000 170 33 16000 >160000 460 490 330 2100 2200 1300 2400 33 160000 1637

DENR Water Quality

Guideline for Class

“C” Water

Classification

200 MPN/100ml



--) Prescribed Frequency of Water Quality Monitoring (10 Months) as per DAO 2016-08 has already been met



Table 118 displays the comparison of the five (5) years annual geometric mean for Fecal Coliform

(FC). The Geometric mean of the results of monitoring for CY 2015 showed that all nine (9)

monitoring stations except SUG-1 station met the DENR Water Quality Guideline for Class C waters

of 200 MPN/100mL. In CY 2016, the results of Fecal Coliform shows that some of the monitoring

stations displayed a slight increase but still met the DENR Water Quality Guideline for Class C water

classification as compared to the results obtained in CY 2015. The results in CY 2017 to CY 2019

revealed that all monitoring stations did not meet the DENR Water Quality Guideline. Alarming

values were recorded from CY 2017 to CY 2019 with increasing trend in concentrations.

Table 118. Comparison of five (5) years annual geometric mean for Fecal Coliform (FC)

Stations Locations

Fecal Coliform

CY

2015

CY

2016

CY

2017

CY

2018

CY

2019

% increase/ decrease

from CY 2018- CY 2019

SUY-1 Urzadan, Suyo 74 97 1767 342 2224 550.29 % inc.

SUY-2 Poblacion,

Suyo 61 78 1903 257 1802 601.17 % inc

ALI-3 Amilongan B,

Alilem 67 138 1663 391 954 143.99 % inc

ALI-4 Poblacion,

Alilem 70 222 1237 503 1295 157.45 % inc

SUG-1 Balbalayang,

Sugpon 371 97 2635 294 467 58.84 % inc

SUD-1

Duplas-

Bulaan,

Sudipen

117 86 2687 658 2118 221.88 % inc

ALI-1 Dalawa,

Alilem 170 84 1537 148 1664 1024.32 % inc

SUD-2

Doña Alicia

Memorial

Bridge,

Sudipen

109 122 841 938 1456 55.22% inc

BAN-2 Ma. Cristina

West, Bangar 127 79 1580 696 1637 135.20 % inc

DENR Water Quality



200 MPN/ 100 ml




averages are with the Water Quality Guideline for C waters except for the Geomean for Fecal

Coliform.


Station

ID

NAME OF

STATION

PARAMETERS

Averages Geometric

Mean

pH DO BOD NO3-

N PO4 Cl


SUY-1 Urzadan,

Suyo 8.1 8.2 2 0.12 0.05 10 7 29.03 5 2224

SUY-2 Poblacion,

Suyo 8.2 8.3 2 0.12 0.05 10 6 29.08 12 1802

ALI-3 Amilongan

B, Alilem 8.1 8.8 2 0.36 0.07 10 6 27.07 45 954

ALI-4 Poblacion,

Alilem 8.2 8.9 1 0.30 0.06 10 6 27.41 33 1295

SUG-1 Balbalayang,

Sugpon 8.1 8.4 2 0.36 0.09 10 6 27.99 12 467

SUD-1

Duplas-

Bulaan,

Sudipen

8.3 10.2 2 0.18 0.07 10 8 27.93 8 2118

ALI-1 Dalawa,

Alilem 8.1 8.5 2 0.30 0.07 11 5 27.73 59 1664

SUD-2

Doña Alicia

Memorial

Bridge,

Sudipen

8.0 8.6 2 0.19 0.05 10 7 28.85 20 1456

BAN-2

Ma. Cristina

West,

Bangar

8.0 8.2 2 0.29 0.08 10 6 28.68 85 1637

DENR Water Quality

Guideline for Class

“C” Water

Classification

6.0-

9.0

5.0

mg/L

7.0

mg/L

7.0

mg/L

0.5

mg/L

350

mg/L

75

TCU

25-31

°C

80.0

mg/L

200 MPN/

100


Table 120 and Table 121 shows the results of the heavy metal analysis on various sampling points of

the LARS WQMA in CY 2018 and CY 2019, respectively.

a. Arsenic (As)

The results of monitoring in the six (6) established monitoring stations are far below

the water quality guideline of 0.05 mg/l Arsenic with values of less than 0.01 mg/L.

b. Cadmium (Cd)

The results of the Heavy Metal Analysis for Cadmium recorded less than 0.006 mg/L which

is far below the water quality guideline of 0.005 mg/L.

c. Chromium (Cr)

The six stations of the LARS WQMA that were tested for the presence of chromium obtained

results that are under the DENR water quality guideline standard of 0.05 mg/L.

d. Copper(Cu)



All six representative stations of the LARS-WQMA attained a value of <0.01mg/L. All are

within the DENR water quality guideline of 0.02 mg/L

e. Lead (Pb)

Six stations that are representative of each LGUs were tested for Lead Concentration, all six

stations yielded values that are less than 0.05 mg/L, the DENR Guideline for Lead.

f. Mercury

The representative stations all yielded <0.0001 mg/L values of mercury, they have met the

DENR water quality guideline of 0.002 mg/L.

g. Zinc(Zn)

The two (2) years monitoring data (CY 2018 and CY 2019) recorded <0.03 mg/L which are

far below the DENR Water Quality Guideline value of 2 mg/L.


Parameter

s

STATIONS DENR

Water

Quality

Guidelin

e for

Class C

Waters

(mg/L)

Amilonga

n, Alilem

Dalawa,

Alilem

Balbalayan

g

Sugpon

Doña

Alicia

Memorial

Bridge,

Sudipen

Alzate,

Bangar

Poblacion

, Suyo

Arsenic

<0.01

(PASSED)

<0.01

(PASSED

)

<0.01

(PASSED)

<0.01

(PASSED

)

<0.01

(PASSED

)

<0.01

(PASSED

)

0.05

Cadmium

<0.006

(PASSED)

<0.006

(PASSED

)

<0.006

(PASSED)

<0.006

(PASSED

)

<0.006

(PASSED

)

<0.006

(PASSED

)

0.005

Chromium

<0.02

(PASSED)

<0.02

(PASSED

)

<0.02

(PASSED)

<0.02

(PASSED

)

<0.02

(PASSED

)

<0.02

(PASSED

)

0.05

Copper

<0.01

(PASSED)

<0.01

(PASSED

)

<0.01

(PASSED)

<0.01

(PASSED

)

<0.01

(PASSED

)

<0.01

(PASSED

)

0.01

Lead

<0.05

(PASSED)

<0.05

(PASSED

)

<0.05

(PASSED)

<0.05

(PASSED

)

<0.05

(PASSED

)

<0.05

(PASSED

)

0.05

Zinc

<0.03

(PASSED)

<0.03

(PASSED

)

<0.03

(PASSED)

<0.03

(PASSED

)

<0.03

(PASSED

)

<0.03

(PASSED

)

2

Mercury

<0.0001

(PASSED)

<0.0001

(PASSED

)

<0.0001

(PASSED)

<0.0001

(PASSED

)

<0.0001

(PASSED

)

<0.0001

(PASSED

)

0.002





Table 122 shows the results of Inorganic Compounds Monthly Data for CY 2018 and CY 2019.

Ammonia

Most of the established monitoring stations met the DENR water quality guideline value of 0.05

mg/L except staion SUD-2.

Cyanide, Free

The results of the analysis for the presence of free Cyanide reveals that the six (6) monitoring


Nitrates

The results of the analysis for the presence of Nitrates show that the six (6) monitoring stations

met the DENR water quality guideline of 7.0 mg/L.

Phosphates

The results of the analysis for the presence of Phosphates showed that the six (6) monitoring


Parameters

STATIONS DENR

Water

Quality

Guideline

for Class

C Waters

(mg/L)

Amilongan,

Alilem

Dalawa,

Alilem

Balbalayang

Sugpon

Doña

Alicia

Memorial

Bridge,

Sudipen

Ma.

Cristina

West,

Bangar

Urzadan,

Suyo

Arsenic <0.01

(PASSED) <0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED) 0.05

Cadmium <0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED) 0.005

Chromium <0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED) 0.05

Copper <0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED) 0.01

Lead <0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED) 0.05

Zinc <0.03

(PASSED)

<0.03

(PASSED)

<0.03

(PASSED)

<0.03

(PASSED)

<0.03

(PASSED)

<0.03

(PASSED) 2

Mercury <0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED) 0.002



Table 122. Inorganic Compounds Monitoring Data, CY 2018 and CY 2019

Paramete

rs

MONITORING STATIONS

DENR

Water

Quality

Guideline

for Class

C Waters

(mg/L)

ALI-3

Amilongan

,

Alilem

ALI-1

Dalawa,

Alilem

SUG-1

Balbalayang,

Sugpon

SUD-2

Doña

Alicia

Memorial

Bridge,

Sudipen

BAN-

1

Alzate,

Banga

r

BAN-

2

Ma.

Cristin

a

West,

Banga

r

SUY-2

Poblacio

n,

Suyo

SUY-1

Urzada

n,

Suyo

CY

2018

CY

2019

CY

2018

CY

2019

CY

2018

CY

2019

CY

2018

CY

2019

CY

2018

CY

2019

CY

2018

CY

2019

Ammonia 0.008 0.008 <0.00

3

<0.00

3 <0.003

<0.00

3 0.07 0.07 0.04 0.04 <0.003 <0.003 0.05

Cyanide,

Free

<0.0

2

<0.0

2 <0.02 <0.02 <0.05 <0.05 0.04 0.04 <0.02 <0.02 <0.05 <0.05 0.1

Nitrate 1.7 1.7 2.1 0.30 <0.000

2 0.36 1.1 0.19 0.1 0.29 <0.0002 0.12 7

Phosphate 0.1 0.1 0.2 0.07 <0.007 0.09 0.09 0.05 0.07 0.08 <0.007 0.05 0.5








Parameters


Quality

Guideline for

Class C Waters

(µg/L)

Amilongan,

Alilem

Dalawa,

Alilem

Balvbalayang,

Sugpon

Doña Alicia

Memorial

Bridge,

Sudipen

Alzate,

Bangar

Poblacion,

Suyo

4,4’-DDD ND ND ND ND ND ND No Guideline

4,4’-DDE ND ND ND ND ND ND No Guideline

4,4’-DDT ND ND ND ND ND ND No Guideline

Aldrin ND ND ND ND ND ND No Guideline

Alpha-BHC ND ND ND ND ND ND No Guideline

Alpha

Chlordane ND ND ND ND ND ND No Guideline

Beta-BHC ND ND ND ND ND ND No Guideline

Chlordane

(tech) ND ND ND ND ND ND No Guideline

Delta-BHC ND ND ND ND ND ND No Guideline

Dieldrin ND ND ND ND ND ND No Guideline

Endosulfan I ND ND ND ND ND ND No Guideline

Endosulfan II ND ND ND ND ND ND No Guideline

Endosulfan

Sulfate ND ND ND ND ND ND No Guideline

Endrin ND ND ND ND ND ND No Guideline

Endrin

Aldehyde ND ND ND ND ND ND No Guideline

Eldrin Ketone ND ND ND ND ND ND No Guideline

Gamma-BHC

(Lindane) ND ND ND ND ND ND No Guideline

Heptachlor ND ND ND ND ND ND No Guideline

Heptachlor

Epoxide ND ND ND ND ND ND No Guideline

Methoxychlor ND ND ND ND ND ND No Guideline

Toxaphene ND ND ND ND ND ND No Guideline








Parameters


Quality

Guideline for

Class C Waters

(µg/L)

Amilongan,

Alilem

Dalawa,

Alilem

Balbalayang,

Sugpon

Doña Alicia

Memorial

Bridge,

Sudipen

Ma.

Cristina

West,

Bangar

Urzadan,

Suyo

4,4’-DDD ND ND ND ND ND ND No Guideline

4,4’-DDE ND ND ND ND ND ND No Guideline

4,4’-DDT ND ND ND ND ND ND No Guideline

Aldrin ND ND ND ND ND ND No Guideline

Alpha-BHC ND ND ND ND ND ND No Guideline

Alpha

Chlordane ND ND ND ND ND ND No Guideline

Beta-BHC ND ND ND ND ND ND No Guideline

Chlordane

(tech) ND ND ND ND ND ND No Guideline

Delta-BHC ND ND ND ND ND ND No Guideline

Dieldrin ND ND ND ND ND ND No Guideline

Endosulfan I ND ND ND ND ND ND No Guideline

Endosulfan II ND ND ND ND ND ND No Guideline

Endosulfan

Sulfate ND ND ND ND ND ND No Guideline

Endrin ND ND ND ND ND ND No Guideline

Endrin

Aldehyde ND ND ND ND ND ND No Guideline

Eldrin Ketone ND ND ND ND ND ND No Guideline

Gamma-BHC

(Lindane) ND ND ND ND ND ND No Guideline

Heptachlor ND ND ND ND ND ND No Guideline

Heptachlor

Epoxide ND ND ND ND ND ND No Guideline

Methoxychlor ND ND ND ND ND ND No Guideline

Toxaphene ND ND ND ND ND ND No Guideline




Parameters


Quality

Guideline for

Class C Waters

(µg/L)

Amilongan,

Alilem

Dalawa,

Alilem

Balvbalayang,

Sugpon

Doña Alicia

Memorial

Bridge,

Sudipen

Alzate,

Bangar

Poblacion,

Suyo

Azinphosmethyl ND ND ND ND ND ND No Guideline

Bolstar ND ND ND ND ND ND No Guideline

Chlorpyrifos ND ND ND ND ND ND No Guideline

Coumaphos ND ND ND ND ND ND No Guideline

Demeton-O ND ND ND ND ND ND No Guideline

Diazinon ND ND ND ND ND ND No Guideline

Dichlorvos ND ND ND ND ND ND No Guideline

Disulfoton ND ND ND ND ND ND No Guideline

Ethoprop ND ND ND ND ND ND No Guideline

Fenchlorphos ND ND ND ND ND ND No Guideline

Fensulfothion ND ND ND ND ND ND No Guideline

Fenthion ND ND ND ND ND ND No Guideline

Malathion ND ND ND ND ND ND No Guideline

Merphos ND ND ND ND ND ND No Guideline

Methyl parathion ND ND ND ND ND ND No Guideline

Mervinphos ND ND ND ND ND ND No Guideline

Phorate ND ND ND ND ND ND No Guideline

Tetrachlorvinphos ND ND ND ND ND ND No Guideline

Tokuthion ND ND ND ND ND ND No Guideline

Trichloronate ND ND ND ND ND ND No Guideline


Parameters


Quality

Guideline for

Class C Waters

(µg/L)

Amilongan,

Alilem

Dalawa,

Alilem

Balbalayang,

Sugpon

Doña Alicia

Memorial

Bridge,

Sudipen

Ma.

Cristina

West,

Bangar

Urzadan,

Suyo

Azinphosmethyl ND ND ND ND ND ND No Guideline

Bolstar ND ND ND ND ND ND No Guideline

Chlorpyrifos ND ND ND ND ND ND No Guideline

Coumaphos ND ND ND ND ND ND No Guideline

Demeton-O ND ND ND ND ND ND No Guideline

Diazinon ND ND ND ND ND ND No Guideline

Dichlorvos ND ND ND ND ND ND No Guideline

Disulfoton ND ND ND ND ND ND No Guideline

Ethoprop ND ND ND ND ND ND No Guideline

Fenchlorphos ND ND ND ND ND ND No Guideline

Fensulfothion ND ND ND ND ND ND No Guideline

Fenthion ND ND ND ND ND ND No Guideline

Malathion ND ND ND ND ND ND No Guideline

Merphos ND ND ND ND ND ND No Guideline

Methyl parathion ND ND ND ND ND ND No Guideline

Mervinphos ND ND ND ND ND ND No Guideline

Phorate ND ND ND ND ND ND No Guideline

Tetrachlorvinphos ND ND ND ND ND ND No Guideline

Tokuthion ND ND ND ND ND ND No Guideline

Trichloronate ND ND ND ND ND ND No Guideline



C. BEACH ECO-WATCH MONITORING

Beach eco-watch monitoring was conducted on a monthly basis for the monitoring of Total

Coliform (TC) and Fecal Coliform (FC) which are the basic parameters to determine the water quality

of bathing beaches. Generally, the results of water quality monitoring for the annual geometric mean

values are within the set DENR water quality guideline of 1000 MPN/ 100ml sample for Total

Coliform (TC) in the four (4) provinces. Generally, improvement in water quality was recorded for

CY 2019.

On the otherhand, most of the results of Fecal Coliform (FC) recorded that the annual geometric

mean values are within the DENR water quality guideline value of 100 MPN/100 mL sample. While,

exceedances were noted in five (5) monitoring stations in La Union, three (3) stations in Pangasinan

and one (1) station in Ilocos Sur.

For this year, this region sustained forty-one (41) established monitoring stations for bathing

beaches in Region 1 which are often visited by foreign and local tourists. There are twelve (12)

sampling stations established along the coastal waters of La Union and Pangasinan, eleven (11)

sampling stations in Ilocos Norte and six (6) stations in Ilocos Sur. Table 136 presents the Beach

Ecowatch monitoring stations established in Region 1.

Table 127. Beach Ecowatch monitoring stations established in Region 1.

Station

Nos.

Station

I.D

Station

Identification/

Landmark

Location

Coordinates

Latitude Longitude

PROVINCE OF LA UNION

1 SFC-1 San Francisco Beach San Fernando City, L.U 16°36’9”N 120°18’12”E

2 SFC-2 Carlatan Beach San Fernando City, L.U 16°37’52.80”N 120°18’52.93”E

3 SFC-3 Pagudpud Beach San Fernando City, L.U 16°34’47.62”N 120°19’0.64”E

4 SJ-1 Urbiztondo Beach San Juan, La Union 16°39’08.84”N 120°19’10”E

5 SJ-2 Ili Norte Beach San Juan, La Union 16°90’45”N 120°20’11”E

6 BAU-1 Paringao Beach Bauang, La Union 16°33’31.00”N 120°19’11.00”E

7 BAU-2 Pugo Beach Bauang, La Union 16°31’44.29”N 120°18’92.87”E

8 LUN-1 Phil. Coast Guard Luna, L.U 16°49’15.13”N 120°20’6.4”E

9 ARI-1 Paradiso Beach

Resort Aringay, La Union 16°23’52.09”N 120°19’26.44”E

10 AGO-1 Agoo-Damortis

National Park Agoo, L.U 16°21’5.88”N 120°20’15.67”E

11 AGO-2 San Nicolas Agoo, La Union 16°18’53.08”N 120°20’22.03”E

12 AGO-3 San Manuel Agoo, La Union 16°17’27.99”N 120°20’42.74”E

PROVINCE OF PANGASINAN

13 SF-1 Nibaliw East Beach San Fabian, Pang. 16°08’03.59”N 120°23’59.38”E

14 SF-2 Narvate Beach San Fabian, Pang. 16°7’16.94”N 120°23’9.60”E

15 DC-1 Tondaligan Beach Dagupan City 16°05’06.96”N 120°20’50.88”E

16 LING-1 Lingayen Beach Lingayen, Pang. 16°31’7.75”N 120°23’44.17”E

17 ALA-1 Quezon Island Alaminos City, Pang. 16°13’22.5”N 120°02’45.3”E

18 ALA-2 Governor's Island Alaminos City, Pang. 16°12’16.5”N 120°02’21.0”E

19 ALA-3 Children Island Alaminos City, Pang. 16°12’48.3”N 120°02’29.0”E

20 AG-1 Agno Beach Agno, Pangasinan 16°08’05.95”N 119°46’25.43”E

21 BOL-1 Patar Beach Bolinao, Pangasinan 16°18’03.70”N 119°46’47.08”E

22 BOL-2 Ilog Malino (S1) Bolinao, Pangasinan 16°21’21.00”N 119°48’44.00”E

23 BOL-3 Ilog Malino (S2) Bolinao, Pangasinan 16°20’52.51”N 119°48’12.22”E

24 DA-1 Dasol Beach Dasol, Pangasinan 15°53’45.99”N 119°53’20.04”E



Station

Nos.

Station

I.D

Station

Identification/

Landmark

Location

Coordinates

Latitude Latitude

PROVINCE OF ILOCOS NORTE

25 PAG-1 Burayoc Station Pagudpud, I.N 18°34’60.00”N 120°47’6.00”E

26 PAG-2 Saud Station 1 Pagudpud, I.N 18°35’20.00”N 120°47’9.00”E

27 PAG-3 Balaoi Station 2 Pagudpud, I.N 18°37’51.00”N 120°51’35.00”E


29 PAG-5 Pansian Pagudpud, I.N 18°33’42.00”N 120°55’1.00”E

30 PAG-6 Pasaleng Pagudpud, I.N 18°33’32.00”N 120°57’14.00”E

31 PAG-7 Saud Station 2 Pagudpud, I.N 18°35’52.00”N 120°46’53.00”E


33 PAG-9 Poblacion 2 Pagudpud, I.N 18°34’3.00”N 120°47’12.00”E

34 PAG-10 Caparispisan S1 Pagudpud, I.N 18°38’3.00”N 120°48’32.00”E

35 PAG-11 Caparispisan S2 Pagudpud, I.N 18°36’29.00”N 120°46’41.00”E

PROVINCE OF ILOCOS SUR

36 MAG-1 Namalpalan Beach Magsingal, I.S 17°41’29.61”N 120°22’56.34”E

37 MAG-2 Pagsaanan Beach Magsingal, I.S 17°42’19.87”N 120°24’35.01”E

38 STD-1 Sived Beah Sto. Domingo, I.S 17°38’44”N 120°21’29”E

39 STD-2 Calay-ab Beach Sto. Domingo, I.S 17°38’44.00”N 120°21’29.00”E

40 SIN-1 Dadalaquiten

Beach Sinait, Ilocos Sur 17°59’8.37”N 120°26’39.28”E

41 SIN-2 Cabangtalan

Beach Sinait, Ilocos Sur 17°53’27.00”N 120°26’43.00”E

MONITORING RESULTS OF BEACH ECO-WATCH MONITORING

Beach ecowatch monitoring was conducted on a monthly basis for the monitoring of Potential

of Hydrogen (pH), Total Coliform (TC) and Fecal Coliform (FC) which are the basic parameters to

determine the water quality of bathing beaches.

Generally, the results of monitoring in the four (4) provinces reflected that the Annual average

for Potential of Hydrogen (pH) met the water quality guideline values of 7.0-8.5 set for Class SB

water.

On the otherhand, the annual geometric mean values for Total and Fecal Coliform are within

the water quality guideline value of 1,000 MPN/100 mL sample and 100 MPN/100 mL sample

respectively except at station SFC-3 in the province of La Union; station SF-1 in the province of

Pangasinan and stations PAG-4 and PAG-8 in the province of Ilocos Norte that exceeded the

maximum allowable limit of 200 MPN/100 mL sample FC.

C.1. PROVINCE OF LA UNION

Table 128 presents the annual average for the Potential of Hydrogen (pH) monitoring data in

the Province of La Union; Table 129 presents the Annual Total Coliform (TC) Monitoring Data and

Table 130 presents the Annual Fecal Coliform (FC) Monitoring Data.

Reflected on Table 129 and 130, the annual geometric mean for Total Coliform (TC) and

Fecal Coliform (FC) are still below the DENR water quality guideline value set for Class SB waters



of 1,000 MPN/100 mL sample and 100 MPN/100 mL sample respectively with the exception of just

one (1) station in the province of La Union for Fecal Coliform (FC).



Table 128. Potential of Hydrogen (pH) Monitoring Data, CY 2019

Station

I.D NAME OF BATHING/ BEACH STATION Potential of Hydrogen (pH)

Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec

Annual

Average


SFC-1 San Francisco Beach – San Fernando City 7.99 8.15 7.18 7.72 8.11 7.65 7.72 8.15 8.10 8.13 8.10 8.11 7.93

SFC-2 Carlatan Beach – San Fernando City 7.64 8.21 7.30 7.88 8.01 7.67 7.98 8.14 8.21 8.28 8.21 8.14 7.97

SFC-3 Pagudpud Beach – San Fernando City 7.92 8.07 7.13 7.73 8.03 7.72 7.96 8.15 8.39 8.01 8.19 8.20 7.96

SJ-1 Urbiztondo Beach – San Juan, La Union 7.72 8.14 7.10 7.64 8.08 7.80 8.21 8.05 8.19 8.05 8.07 8.36 7.95

SJ-2 Ili Norte Beach – San Juan, L.U 7.80 8.16 7.06 7.81 8.06 7.78 8.21 7.97 8.19 8.10 8.16 8.28 7.97

BAU-1 Paringao Beach – Bauang, La Union 7.47 8.20 7.03 7.90 7.99 7.81 8.07 8.04 8.71 7.96 8.14 8.14 7.96

BAU-2 Pugo Beach – Bauang, La Union 7.89 8.20 7.19 7.84 7.87 7.90 8.09 8.01 8.27 8.15 8.77 8.05 8.02

LUN-1 Phil. Coast Guard – Luna, La Union 7.79 8.17 7.42 7.86 7.84 7.87 7.99 8.07 8.37 8.27 8.71 8.32 8.06

ARI-1 Paradiso Beach Resort – Aringay, La Union 7.63 8.00 7.62 7.76 7.88 7.83 7.93 8.06 8.39 8.01 8.52 8.07 7.98

AGO-1 Agoo-Damortis National Park – Agoo, L.U 7.83 8.18 7.22 7.91 7.77 7.91 7.88 8.11 8.11 7.93 8.66 8.20 7.98

AGO-2 San Nicolas – Agoo, La Union 7.61 8.19 7.28 7.81 7.99 7.96 7.98 8.12 8.55 7.97 8.19 8.36 8.00

AGO-3 San Manuel – Agoo, La Union 7.54 8.16 7.25 7.61 7.96 7.81 8.01 8.17 8.61 8.07 8.20 8.22 7.97

DENR Water Quality Guideline Value 7.0-8.5

set for Class " SB " Waters



Table 129. Annual Total Coliform (TC) Monitoring Data, CY 2019

Station

I.D NAME OF BATHING/ BEACH STATION Total Coliform (TC), MPN/100 mL Sample


Annual

Geomean


SFC-1 San Francisco Beach – San Fernando City 63 3500 7.8 9200 16000 840 <1.8 6.8 2400 23 33 330 185

SFC-2 Carlatan Beach – San Fernando City 23 330 7.8 230 330 700 33 46 460 49 490 49 108

SFC-3 Pagudpud Beach – San Fernando City 490 170 9.3 2400 2400 16000 33 1100 24000 230 490 230 585

SJ-1 Urbiztondo Beach – San Juan, La Union 4.5 130 <1.8 110 330 <1.8 17 14 330 49 49 33 29

SJ-2 Ili Norte Beach – San Juan, L.U 7.8 23 2 49 130 4 4.5 23 230 4.5 49 49 19

BAU-1 Paringao Beach – Bauang, La Union <1.8 79 14 130 490 79 230 170 230 230 160000 110 163

BAU-2 Pugo Beach – Bauang, La Union 4.5 4.5 <1.8 220 490 1300 2.0 940 230 <1.8 23 33 45

LUN-1 Phil. Coast Guard – Luna, La Union 170 23 33 23 79 22 79 2400 24000 330 130 1300 182

ARI-1 Paradiso Beach Resort – Aringay, La Union 49 23 <1.8 <1.8 23 11 23 21 1700 <1.8 13 4.5 17

AGO-1 Agoo-Damortis National Park – Agoo, L.U 790 23 <1.8 3500 16000 490 4.5 110 2400 46 49 33 144

AGO-2 San Nicolas – Agoo, La Union 2400 33 490 130 790 230 130 33 330 1700 230 33 225

AGO-3 San Manuel – Agoo, La Union 790 23 7.8 79 2400 490 130 110 330 17 23 70 105

DENR Water Quality Guideline Value 1000


Exceeded water quality guideline.



Table 130. Annual Fecal Coliform (FC) Monitoring Data, CY 2019

Station

I.D NAME OF BATHING/ BEACH STATION Fecal Colifrom (FC), MPN/100 mL Sample


Annual

Geomean


SFC-1 San Francisco Beach – San Fernando City 63 3500 7.8 9200 16000 840 <1.8 6.8 2400 23 23 330 179

SFC-2 Carlatan Beach – San Fernando City 23 330 7.8 230 330 700 33 46 460 49 490 49 108

SFC-3 Pagudpud Beach – San Fernando City 490 170 9.3 2400 2400 16000 33 1100 24000 230 330 230 566

SJ-1 Urbiztondo Beach – San Juan, La Union 4.5 130 <1.8 110 330 <1.8 17 14 330 49 4.5 33 24

SJ-2 Ili Norte Beach – San Juan, L.U 7.8 23 2 49 130 4 4.5 23 230 4.5 14 49 17

BAU-1 Paringao Beach – Bauang, La Union <1.8 79 14 130 490 79 230 170 230 230 2400 110 115

BAU-2 Pugo Beach – Bauang, La Union 4.5 4.5 <1.8 220 490 1300 2.0 940 230 <1.8 <1.8 33 49

LUN-1 Phil. Coast Guard – Luna, La Union 170 23 33 23 79 22 79 2400 24000 330 130 1300 182

ARI-1 Paradiso Beach Resort – Aringay, La Union 49 23 <1.8 <1.8 23 11 23 21 1700 <1.8 <1.8 4.5 18

AGO-1 Agoo-Damortis National Park – Agoo, L.U 790 23 <1.8 3500 16000 490 4.5 110 2400 46 49 33 144

AGO-2 San Nicolas – Agoo, La Union 2400 33 490 130 790 230 130 33 330 1700 23 33 186

AGO-3 San Manuel – Agoo, La Union 790 23 7.8 79 2400 490 130 110 330 17 23 70 105


100/200

Maximum

allowable Limit set for Class " SB " Waters




COMPARISON OF MONITORING DATA FROM CY 2014 TO CY 2019

As gleaned from Table 131 the six (6) years monitoring in the province of La Union for the

Total Coliform (TC) reflected that the annual geometric mean are within the water quality guideline

value of 1,000 MPN/100 mL sample.

Table 131. Comparison of Six (6) Years monitoring for Total Coliform (TC)

Station

I.D

NAME OF BATHING/

BEACH STATION

Annual Geometric Mean

(MPN/100 mL sample)

CY

2014

CY

2015

CY

2016

CY

2017

CY

2018

CY

2019

SFC-1 San Francisco Beach –

San Fernando City, L.U 69 656 92 251 190 185

SFC-2 Carlatan Beach –

San Fernando City, L.U 73 108

SFC-3 Pagudpud Beach –


SJ-1 Urbiztondo Beach –

San Juan, La Union 42 525 121 70 34 29

SJ-2 Ili Norte Beach – San Juan,

L.U 20 19

BAU-1 Paringao Beach –

Bauang, La Union 108 886 65 448 39 163

BAU-2 Pugo Beach – Bauang, La

Union 37 45

LUN-1 Phil. Coast Guard –

Luna, La Union 103 195 182

ARI-1 Paradiso Beach Resort –

Aringay, La Union 7 17

AGO-1 Agoo-Damortis National

Park – Agoo, L.U 17 144

AGO-2 San Nicolas – Agoo, La

Union 350 225

AGO-3 San Manuel – Agoo, La

Union 208 105


Class SB waters 1,000

Revealed on Table 132 is the six (6) years recorded monitoring data for Fecal Coliform (FC).

Based on the results of yearly monitoring data recorded that station SFC-3 showed continuous

exceedance with alarming increasing trend from 265 MPN to 566 MPN from CY 2018 to CY 2019

respectively.

Table 132. Comparison of Six (6) Years monitoring for Fecal Coliform (FC)

Station

I.D

NAME OF BATHING/

BEACH STATION


(MPN/100 mL sample)

CY

2014

CY

2015

CY

2016

CY

2017

CY

2018

CY

2019

SFC-1 San Francisco Beach –

San Fernando City, L.U 18 107 18 50 106 179

SFC-2 Carlatan Beach –


SFC-3 Pagudpud Beach –




SJ-1 Urbiztondo Beach –

San Juan, La Union 11 49 33 38 14 24

SJ-2 Ili Norte Beach – San Juan,

L.U 9 17

BAU-1 Paringao Beach –

Bauang, La Union 30 133 16 170 21 115

BAU-2 Pugo Beach – Bauang, La

Union 22 49

LUN-1 Phil. Coast Guard –

Luna, La Union 153 182

ARI-1 Paradiso Beach Resort –

Aringay, La Union 7 18

AGO-1 Agoo-Damortis National

Park – Agoo, L.U 11 144

AGO-2 San Nicolas – Agoo, La

Union 177 186

AGO-3 San Manuel – Agoo, La

Union 165 105


Class SB waters 100 (200 Maximum Allowable Limit)


C.2. PROVINCE OF PANGASINAN

The recorded monitoring data in the province of Pangasinan are tabulated as Table 133 for the

Annual Potential of Hydrogen (ph); Table 134 for the Annual Total Coliform (TC) and Table 135 is

the Annual Fecal Coliform (FC) monitoring data.

The results of monitoring presented as Table 134 and Table 135 for the Total Coliform (TC)

and Fecal Coliform (FC) met the DENR water quality guideline set for Class SB waters of 1,000

MPN/100 mL sample and 100 MPN/100 mL sample respectively except at station SF-1 for Fecal

Coliform. The exceedance could be possibly attributed from the surface run-off that drains to the

coastal waters.




Station

I.D

NAME OF BATHING/ BEACH

STATION Total Coliform (TC), MPN/100 mL Sample

Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Annual

Average


SF-1 Nibaliw East Beach – San Fabian, Pang. 7.81 7.53 7.25 7.71 8.01 8.05 8.02 8.40 7.91 8.67 8.09 7.95

SF-2 Narvate Beach – San Fabian, Pang. 7.32 7.61 7.53 7.67 8.10 7.98 8.14 7.88 7.97 8.16 8.12 7.86

DC-1 Tondaligan Beach – Dagupan City 7.62 7.38 7.58 7.88 8.03 8.02 7.97 8.19 7.94 8.29 8.38 7.93

LING-1 Lingayen Beach – Lingayen, Pang. 7.83 7.50 7.63 7.92 8.01 8.22 7.27 8.11 8.43 8.24 8.34 7.95

ALA-1 Quezon Island – Alaminos, Pang. 7.18 7.61 7.33 7.97 7.99 8.08 7.12 8.65 8.18 7.22 - 7.73

ALA-2 Governor's Island – Alaminos, Pang. 7.22 7.33 7.37 7.83 7.97 8.05 7.39 8.06 8.36 8.32 - 7.79

ALA-3 Children Island – Alaminos, Pang. 7.13 7.28 7.27 7.86 7.89 8.04 7.47 8.11 8.14 7.67 - 7.69

AG-1 Agno Beach – Agno, Pang. 7.08 7.23 7.19 7.90 8.04 8.16 7.23 7.89 7.97 7.81 8.33 7.71

BOL-1 Patar Beach – Bolinao, Pang. 7.10 7.10 7.21 7.81 8.11 7.99 7.22 7.93 8.21 7.97 8.03 7.70

BOL-2 Ilog Malino (Station 1) – Bolinao, Pang. 7.01 7.18 7.33 7.86 8.16 8.17 7.20 7.63 8.10 8.06 8.11 7.71

BOL-3 Ilog Malino (Station 2) – Bolinao, Pang. 7.23 7.33 7.40 7.85 8.18 8.10 7.89 7.99 8.39 7.21 8.05 7.78

DA-1 Dasol Beach – Dasol, Pang. 7.33 7.28 7.37 7.89 8.13 8.04 7.59 8.01 8.29 8.19 8.15 7.84




-Water sampling was not conducted due to the occurrence of Typhoon Ramon during the scheduled sampling.




Station

I.D


STATION Total Coliform (TC), MPN/100 mL Sample

Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Annual

Geomean


SF-1 Nibaliw East Beach – San Fabian, Pang. 24000 330 1300 490 130 23 1700 1100 2400 130 330 588

SF-2 Narvate Beach – San Fabian, Pang. 24000 33 790 33 49 49 17 460 230 <1.8 110 105

DC-1 Tondaligan Beach – Dagupan City <1.8 49 79 170 49 <1.8 6.8 1700 230 17 23 35

LING-1 Lingayen Beach – Lingayen, Pang. 2 <1.8 14 110 49 <1.8 1300 9200 1300 230 110 70

ALA-1 Quezon Island – Alaminos, Pang. <1.8 2 110 46 <1.8 <1.8 <1.8 23 <1.8 <1.8 - 5

ALA-2 Governor's Island – Alaminos, Pang. <1.8 2 <1.8 2 2 <1.8 <1.8 23 <1.8 <1.8 - 2

ALA-3 Children Island – Alaminos, Pang. <1.8 4.5 <1.8 <1.8 <1.8 <1.8 <1.8 <1.8 <1.8 <1.8 - 2

AG-1 Agno Beach – Agno, Pang. <1.8 2 <1.8 2 2400 <1.8 <1.8 <1.8 23 <1.8 4.5 5

BOL-1 Patar Beach – Bolinao, Pang. 33 230 230 49 49 <1.8 <1.8 23 23 <1.8 17 20

BOL-2 Ilog Malino (Station 1) – Bolinao, Pang. <1.8 <1.8 <1.8 110 130 49 49 23 23 <1.8 4 12

BOL-3 Ilog Malino (Station 2) – Bolinao, Pang. <1.8 <1.8 <1.8 49 49 130 <1.8 23 5400 230 330 32

DA-1 Dasol Beach – Dasol, Pang. 1.8 23 <1.8 490 23 230 790 13 170 <1.8 230 36




-Water sampling was not conducted due to the occurrence of Typhoon Ramon during the scheduled sampling.




Station

I.D NAME OF BATHING/ BEACH STATION

Fecal Coliform (FC), MPN/100 mL Sample

Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov

Annual

Geomean


SF-1 Nibaliw East Beach – San Fabian, Pang. 24000 330 1300 490 130 23 1700 1100 2400 130 330 588

SF-2 Narvate Beach – San Fabian, Pang. 24000 33 790 33 49 49 14 460 230 <1.8 110 103

DC-1 Tondaligan Beach – Dagupan City <1.8 49 79 170 49 <1.8 6.8 1700 230 17 23 35

LING-1 Lingayen Beach – Lingayen, Pang. 2 <1.8 14 110 49 <1.8 790 5400 1300 230 110 64

ALA-1 Quezon Island – Alaminos, Pang. <1.8 2 110 46 <1.8 <1.8 <1.8 23 <1.8 <1.8 - 5

ALA-2 Governor's Island – Alaminos, Pang. <1.8 2 <1.8 2 2 <1.8 <1.8 23 <1.8 <1.8 - 2

ALA-3 Children Island – Alaminos, Pang. <1.8 4.5 <1.8 <1.8 <1.8 <1.8 <1.8 <1.8 <1.8 <1.8 - 2

AG-1 Agno Beach – Agno, Pang. <1.8 2 <1.8 2 2400 <1.8 <1.8 <1.8 23 <1.8 4.5 5

BOL-1 Patar Beach – Bolinao, Pang. 33 230 230 49 49 <1.8 <1.8 23 23 <1.8 17 20

BOL-2 Ilog Malino (Station 1) – Bolinao, Pang. <1.8 <1.8 <1.8 79 130 49 49 23 23 <1.8 <1.8 11

BO-3 Ilog Malino (Station 2) – Bolinao, Pang. <1.8 <1.8 <1.8 49 49 130 <1.8 23 5400 230 330 32

DA-1 Dasol Beach – Dasol, Pang. 1.8 23 <1.8 490 23 230 790 13 170 <1.8 230 36


100

100/200

Maximum

Allowable

Limit) set for Class " SB " Waters

Exceeded water quality guideline

- Water sampling was not conducted due to the occurrence of Typhoon Ramon during the scheduled sampling.




As gleaned from Table 136 the six (6) years monitoring in the province of Pangasinan for the

Total Coliform (TC) reflected that the annual geometric mean are within the water quality guideline

of 1,000 MPN/100 mL sample set for Class SB waters.


Station

I.D

NAME OF BATHING/

BEACH STATION


(MPN/100 mL sample)

CY

2014

CY

2015

CY

2016

CY

2017

CY

2018

CY

2019

SF-1 Nibaliw East Beach – San Fabian, Pang. 36 934 472 501 154 588

SF-2 Narvate Beach – San Fabian, Pang.

677 105

DC-1 Tondaligan Beach – Dagupan City 117 928 620 134 25 35

LING-1 Lingayen Beach – Lingayen, Pang. 37 305 399 417 180 70

ALA-1 Quezon Island – Alaminos, Pang. 60 394 194 113 5 5

ALA-2 Governor's Island – Alaminos, Pang. 105 339 145 59 5 2

ALA-3 Children Island – Alaminos, Pang. 70 211 306 52 8 2

AG-1 Agno Beach – Agno, Pang.

786 223 126 18 5

BOL-1 Patar Beach – Bolinao, Pang.

323 151 54 27 20

BOL-2 Ilog Malino (Station 1) – Bolinao, Pang.

573 200 100 36 12


53 32

DA-1 Dasol Beach – Dasol, Pang.

848 162 140 48 36

DENR Water Quality Guideline for Class SB waters 1,000

As gleaned from Table 137 the six (6) years monitoring data for the Fecal Coliform (FC)

reflected that most of the annual geometric mean met the water quality guideline of 100 MPN/100 mL

sample. Exceedances were noted in one (1) station for CY 2018 and CY 2019.


Station

I.D

NAME OF BATHING/

BEACH STATION


(MPN/100 mL sample)

CY

2014

CY

2015

CY

2016

CY

2017

CY

2018

CY

2019

SF-1 Nibaliw East Beach – San Fabian, Pang. 7 55 113 88 103 588

SF-2 Narvate Beach – San Fabian, Pang.

610 103

DC-1 Tondaligan Beach – Dagupan City 34 65 66 38 20 35

LING-1 Lingayen Beach – Lingayen, Pang. 13 55 112 80 117 64

ALA-1 Quezon Island – Alaminos, Pang. 11 62 47 35 5 5

ALA-2 Governor's Island – Alaminos, Pang. 30 45 34 41 4 2

ALA-3 Children Island – Alaminos, Pang. 36 153 52 26 6 2

AG-1 Agno Beach – Agno, Pang.

72 98 31 15 5

BOL-1 Patar Beach – Bolinao, Pang.

45 53 47 22 20


91 101 59 31 11


35 32

DA-1 Dasol Beach – Dasol, Pang.

97 83 52 31 36

DENR Water Quality Guideline for Class SB waters 100/200 Maximum Allowable Limit




C.3. PROVINCE OF ILOCOS NORTE

For this year, this region sustained eleven (11) established beach monitoring stations in the

province of Ilocos Norte. The results of water quality monitoring are presented as Table 138 for the

Potential of Hydrogen (pH); Table 139 and Table 140 for the Annual Total Coliform (TC) and Fecal

Coliform (FC) monitoring data.

As gleaned on Table 139 the annual geometric mean values for Total Coliform (TC) ranges

from 8 MPN to 487 MPN that met the water quality guideline value set for Class SB waters of 1,000

MPN/100 mL sample.

The summarized Fecal Coliform (FC) monitoring data in Table 140 reflected that the results

of monitoring for the annual geometric mean values ranges from 7 MPN to 351 MPN wherein nine

(9) out of twelve (12) monitoring stations met the water quality guideline value of 100 MPN/100 mL

sample set for Class SB waters. Stations PAG-4 and PAG-8 exceeded the maximum allowable limit

of 200 MPN/100 mL sample.




Station

I.D


STATION


Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Annual

Average


PAG-1 Burayoc Station – Pagudpud, I.N - 7.33 7.47 7.83 7.91 7.99 7.30 7.62 7.72 7.75 7.97 8.22 7.74

PAG-2 Saud Station 1 – Pagudpud, I.N - 7.21 7.39 7.86 7.97 7.83 7.18 7.79 7.90 7.86 8.10 8.46 7.78

PAG-3 Balaoi Station 2 – Pagudpud, I.N - 7.18 7.30 7.98 8.01 7.96 7.32 7.53 8.11 7.74 7.92 8.11 7.74


PAG-5 Pansian – Pagudpud, I.N - 7.43 7.40 7.72 8.05 8.01 7.21 7.51 7.47 7.56 7.97 7.97 7.66

PAG-6 Pasaleng – Pagudpud, I.N - 7.79 7.59 7.83 8.10 7.87 7.96 7.79 8.09 8.03 8.15 8.07 7.93

PAG-7 Saud Station 2 – Pagudpud, I.N - 7.23 7.39 7.84 8.13 8.09 7.78 7.67 8.24 7.69 8.07 8.15 7.84


PAG-9 Poblacion 2 – Pagudpud, I.N - 7.32 7.38 7.97 7.96 7.91 7.44 7.65 8.17 7.67 7.82 8.11 7.76

PAG-10 Caparispisan Station 1 – Pagudpud, I.N - 7.48 7.27 7.98 7.98 7.98 7.44 7.62 8.29 7.91 7.67 8.19 7.80

PAG-11 Caparispisan Station 2 – Pagudpud, I.N - 7.88 7.29 7.68 7.81 8.10 7.56 7.83 8.25 7.66 7.82 8.22 7.83






Station

I.D


STATION

Total Coliform (TC), MPN/100 mL Sample


Geomean


PAG-1 Burayoc Station – Pagudpud, I.N - 33 7.8 39 2400 <1.8 790 230 23 130 94 4.5 53

PAG-2 Saud Station 1 – Pagudpud, I.N - 330 230 2 3500 33 490 230 33 4.5 170 5400 135

PAG-3 Balaoi Station 2 – Pagudpud, I.N - 140 <1.8 4.5 700 23 70 17 <1.8 23 9.3 2 16

PAG-4 Balaoi Station 1 – Pagudpud, I.N - 23 230 330 16000 23 24000 230 1300 130 1300 470 487

PAG-5 Pansian – Pagudpud, I.N - 79 <1.8 <1.8 70 330 330 7.8 23 <1.8 490 490 36

PAG-6 Pasaleng – Pagudpud, I.N - 79 <1.8 <1.8 230 <1.8 4.5 4 2.0 2 <1.8 490 8

PAG-7 Saud Station 2 – Pagudpud, I.N - 230 <1.8 <1.8 3500 <1.8 330 79 110 7.8 2 230 33

PAG-8 Balaoi Station 3 – Pagudpud, I.N - 330 49 <1.8 9200 2400 790 230 79 230 490 790 280

PAG-9 Poblacion 2 – Pagudpud, I.N - 490 <1.8 11 1100 <1.8 230 230 33 <1.8 1100 13 43

PAG-10 Caparispisan Station 1 – Pagudpud, I.N - 1300 2 2 330 4.5 49 230 6.8 4.5 <1.8 79 21

PAG-11 Caparispisan Station 2 – Pagudpud, I.N - 1100 <1.8 33 3500 <1.8 11 230 <1.8 230 2 2 24



Exceeded Water Quality Guideline Value




Station

I.D


STATION



Geomean


PAG-1 Burayoc Station – Pagudpud, I.N - 33 <1.8 39 2400 <1.8 790 230 23 130 94 4.5 47

PAG-2 Saud Station 1 – Pagudpud, I.N - 330 <1.8 2 3500 33 490 230 33 4.5 170 5400 87

PAG-3 Balaoi Station 2 – Pagudpud, I.N - 140 <1.8 2 700 23 70 17 <1.8 23 9.3 2 15

PAG-4 Balaoi Station 1 – Pagudpud, I.N - <1.8 79 330 16000 23 24000 230 1300 130 1300 470 351

PAG-5 Pansian – Pagudpud, I.N - 79 <1.8 <1.8 70 330 330 7.8 23 <1.8 490 490 36

PAG-6 Pasaleng – Pagudpud, I.N - 79 <1.8 <1.8 230 <1.8 4.5 2.0 2.0 2 <1.8 490 7

PAG-7 Saud Station 2 – Pagudpud, I.N - 230 <1.8 <1.8 3500 <1.8 330 79 110 7.8 2 230 33

PAG-8 Balaoi Station 3 – Pagudpud, I.N - 330 <1.8 <1.8 9200 2400 790 230 79 230 490 790 207

PAG-9 Poblacion 2 – Pagudpud, I.N - 490 <1.8 11 1100 <1.8 230 230 33 <1.8 1100 13 43

PAG-10 Caparispisan Station 1 – Pagudpud, I.N - 1300 <1.8 2 330 4.5 49 230 6.8 4.5 <1.8 79 21

PAG-11 Caparispisan Station 2 – Pagudpud, I.N - 1100 <1.8 33 3500 <1.8 11 230 <1.8 230 <1.8 2 24


100

100/200

Maximum

Allowable

Limit set for Class " SB " Waters

Exceeded Water Quality Guideline Value

(-) Water sampling was not conducted due to continuous heavy rains.




As gleaned from Table 141 and 142 the six (6) years monitoring in the province of Ilocos

Norte for the Total Coliform (TC) and Fecal Coliform (FC) reflected that the annual geometric mean

values are within the water quality guideline of 1,000 MPN/100 mL TC and 100 MPN/100 mL FC set

for Class SB water. Exceedance was noted for Fecal Coliform (FC) at stations PAG-4 and PAG-8 for

CY 2019 that exceeded the 200 MPN maximum allowable limit.


Station

I.D

NAME OF BATHING/

BEACH STATION


(MPN/100 mL sample)

CY

2014

CY

2015

CY

2016

CY

2017

CY

2018

CY

2019

PAG-1 Burayoc Station - Pagudpud, IN 59 638 275 115 15 53

PAG-2 Saud Station 1 - Pagudpud, IN 111 589 352 232 72 135

PAG-3 Balaoi Station 2 - Pagudpud, IN 130 308 225 139 9 16


PAG-5 Pansian - Pagudpud, IN

565 269 39 27 36

PAG-6 Pasaleng - Pagudpud, IN

183 215 60 4 8

PAG-7 Saud Station 2 - Pagudpud, IN

539 167 134 30 33

PAG-8 Balaoi Station 3 - Pagudpud, IN

252 256 57 280

PAG-9 Poblacion 2 - Pagudpud, IN

242 149 23 43

PAG-10 Caparispisan Station 1 - Pagudpud, IN

201 97 16 21


272 69 8 24

DENR Water Quality Guideline for Class SB waters 1,000


Station

I.D NAME OF BATHING/ BEACH STATION


(MPN/100 mL sample)

CY

2014

CY

2015

CY

2016

CY

2017

CY

2018

CY

2019

PAG-1 Burayoc Station - Pagudpud, IN 28 81 73 42 9 47

PAG-2 Saud Station 1 - Pagudpud, IN 73 95 97 69 36 87



PAG-5 Pansian - Pagudpud, IN

76 66 32 20 36

PAG-6 Pasaleng - Pagudpud, IN

29 106 40 3 7

PAG-7 Saud Station 2 - Pagudpud, IN

50 64 40 16 33

PAG-8 Balaoi Station 3 - Pagudpud, IN

80 89 28 207

PAG-9 Poblacion 2 - Pagudpud, IN

86 41 13 43


70 44 10 21


77 35 4 24

Water Quality Guideline for Class SB waters 100 (200 Maximum Allowable Limit)




C.4 PROVINCE OF ILOCOS SUR

This region sustained six (6) established monitoring stations in the province of Ilocos Sur.

Two (2) stations were established in each municipality of Magsingal, Sto. Domingo and Sinait.

Table 143 presents the Annual Total Coliform (TC) monitoring data in the Province of Ilocos

Sur; Table 144 presents the Annual Total Coliform (TC) monitoring data and Table 145 presents the

Annual Fecal Coliform (FC) monitoring data.

As gleaned on Table 142 is the Total Coliform monitoring data showed that the annual

geometric mean values ranges from 11 MPN to 46 MPN are within the water quality guideline value

of 1,000 MPN/100 mL sample.

The results of monitoring presented as Table 143 for the Fecal Coliform (FC) monitoring met

the water quality guideline set for Class SB waters of 100 MPN/100 mL sample.




Station I.D NAME OF BATHING/ BEACH

STATION



Average


MAG-1 Namalpalan Beach – Magsingal, I.S - 7.33 7.28 7.72 7.81 7.88 7.97 8.11 8.51 7.97 7.83 7.91 7.85

MAG-2 Pagsaanan Beach – Magsingal, I.S - 7.41 7.16 7.77 8.01 8.09 8.10 8.03 8.21 7.83 7.42 7.44 7.77

STD-1 Sived Beach – Sto. Domingo, I.S - 7.38 7.38 7.67 8.03 8.02 7.97 8.21 8.14 7.77 7.66 7.61 7.80

STD-2 Calay-ab Beach – Sto. Domingo, I.S - 7.48 7.37 7.81 7.99 7.76 7.95 8.15 8.90 7.81 7.81 7.77 7.89

SIN-1 Dadalaquiten Beach – Sinait, I.S - 7.44 7.49 7.73 7.80 7.92 8.00 8.13 8.20 7.91 7.22 7.81 7.79

SIN-2 Cabangtalan Beach – Sinait, I.S - 7.78 7.88 7.84 7.41 8.03 8.23 8.14 8.19 7.58 7.97 7.90 7.90


7.0-8.5 set for Class " SB " Waters




Station I.D NAME OF BATHING/ BEACH

STATION

Total Coliform (TC), MPN/100 mL Sample


Geomean


MAG-1 Namalpalan Beach – Magsingal, I.S - 4.5 <1.8 2 23 2 <1.8 <1.8 790 2400 23 <1.8 11

MAG-2 Pagsaanan Beach – Magsingal, I.S - 4.5 <1.8 <1.8 330 2 4.5 27 24000 330 230 <1.8 26

STD-1 Sived Beach – Sto. Domingo, I.S - 2 33 7.8 23 <1.8 <1.8 <1.8 230 3500 230 2 17

STD-2 Calay-ab Beach – Sto. Domingo, I.S - 4.5 11 4.5 49 <1.8 <1.8 4.5 230 230 230 22 17

SIN-1 Dadalaquiten Beach – Sinait, I.S - 7.8 4.5 9.3 230 17 <1.8 49 490 24000 79 17 46

SIN-2 Cabangtalan Beach – Sinait, I.S - 4.5 49 <1.8 490 790 2.0 4.5 330 460 230 2 35


set for Class SB Waters




Station

I.D


STATION



Geomean


MAG-1 Namalpalan Beach – Magsingal, I.S - 4.5 <1.8 2 23 2 <1.8 <1.8 790 2400 23 <1.8 11

MAG-2 Pagsaanan Beach – Magsingal, I.S - 4.5 <1.8 <1.8 330 2 4.5 27 24000 330 230 <1.8 26

STD-1 Sived Beach – Sto. Domingo, I.S - 2 33 7.8 23 <1.8 <1.8 <1.8 230 3500 230 <1.8 16

STD-2 Calay-ab Beach – Sto. Domingo, I.S - 4.5 11 4.5 49 <1.8 <1.8 4.5 230 230 230 22 17

SIN-1 Dadalaquiten Beach – Sinait, I.S - 7.8 4.5 9.3 230 17 <1.8 49 490 24000 79 17 46

SIN-2 Cabangtalan Beach – Sinait, I.S - 4.5 49 <1.8 490 790 2.0 4.5 330 460 230 2 35


100/200

Maximum

Allowable

Limit set for Class " SB " Waters


(-) Water sampling was not conducted due to continuous heavy rains.




As gleaned from Table 146 and 147 the four (4) years monitoring in the province of Ilocos

Sur for the Total Coliform (TC) and Fecal Coliform (FC) reflected that the annual geometric mean are

within the water quality guideline value of 1,000 MPN/100 mL sample TC and 100 MPN/100 mL

sample FC set for Class SB water. However, exceedance was noted for Fecal Coliform (FC) at station

SIN-1 for CY 2018 that exceeded the 200 MPN maximum allowable limit. However, improvement in

the water quality was noted for CY 2019.

Table 146. Comparison of Four (4) Years monitoring for Total Coliform (TC)

Station

I.D


STATION


(MPN/100 mL sample)

CY

2016

CY

2017

CY

2018 CY 2019


MAG-1 Namalpalan Beach – Magsingal, I.S 373 152 33 11

MAG-2 Pagsaanan Beach – Magsingal, I.S 20 26

STD-1 Sived Beach – Sto. Domingo, I.S 183 81 17

STD-2 Calay-ab Beach – Sto. Domingo, I.S 97 17

SIN-1 Dadalaquiten Beach – Sinait, I.S 158 623 46

SIN-2 Cabangtalan Beach – Sinait, I.S 18 35


set for Class " SB " Waters 1,000

Table 147. Comparison of Four (4) Years monitoring for Fecal Coliform (FC)

Station

I.D


STATION


(MPN/100 mL sample)

CY

2016

CY

2017

CY

2018

CY

2019


MAG-1 Namalpalan Beach – Magsingal, I.S 97 106 21 11

MAG-2 Pagsaanan Beach – Magsingal, I.S 14 26

STD-1 Sived Beach – Sto. Domingo, I.S 87 34 16

STD-2 Calay-ab Beach – Sto. Domingo, I.S 32 17

SIN-1 Dadalaquiten Beach – Sinait, I.S 102 203 46

SIN-2 Cabangtalan Beach – Sinait, I.S 12 35


set for Class " SB " Waters 100/200 Maximum Allowable Limit




D. PRIORITY RIVER- GOVANTES-MESTIZO RIVER SYSTEM

The Govantes-Mestizo River is a river system located in the Municipality of Santa, Municipality of

Bantay and the City of Vigan in the Province of Ilocos Sur. With the towns and city being located

very close to one another, the entire stretch of the Govantes-Mestizo River has similar hydrological,

hydrogeological, meteorological and geographical conditions that affect the physiochemical,

biological and bacteriological reactions and diffusions of pollutants, specifically to the end of the river

that the main channel of the river eventually drains to the West Philippine Sea.

The river shares defined common and similar water quality-related development programs, prospects,

or problems and have the prospect and potential of economic and social development. Land-use in the

Govantes-Mestizo River can be classified generally into agricultural, residential and commercial

areas.

The headwater of the Govantes-Mestizo River originates from the Abra River in the Municipality of

Santa, Ilocos Sur. The established upstream monitoring station of the Govantes River is in Barangay 3

and the downstream monitoring station is in Barangay Fatima in Vigan City while the upstream

monitoring station of the Mestizo River is in Barangay Capampangan while the established

downstream monitoring station is in Tamag also in Vigan City.

The Govantes and Mestizo River are part of the Adopt-an-estero/waterbody Program of EMB I; the

Govantes River was adopted by Jollibee Bantay while the Mestizo River was adopted by Jollibee

Vigan, the three-year Memorandum of Agreement (MOA) for both the Govantes and Mestizo River

were signed on May 24, 2016. Due to growing concern on the further deterioration of the Govantes-

Mestizo River, the said river system was listed as a priority river to be constantly monitored by EMB I

and organize concerned entities to adequately address the issues on sanitary and water quality issues.

The two (2) rivers are downstream tributary of Abra river.

EMB 1 coordinated with LGU Vigan City to conduct water quality monitoring and establish

additional monitoring stations of the Govantes-Mestizo River. Measurement of baseline on-site data,

obtaining the GPS coordinates of the monitoring stations and collection of water samples to be

analyzed at the EMB Regional laboratory for physiochemical parameters (BOD, Chloride, Color, DO,

Nitrate, pH, Phosphate, Temperature and TSS) and bacteriological parameters (FC). Likewise, the

conduct of the water quality monitoring shall be continuous monthly to closely observe the status of

the water quality of Govantes-Mestizo River and to prevent its further deterioration.

In CY 2018, there were nine (9) monitoring stations established but due to the increase in the

frequency of sampling from quarterly to monthly and increase in the number of parameters monitored

with the inclusion of other primary parameters such as nitrate, phosphate, ph, color, chloride and

temperature, the monitoring stations were reduced to seven (7) for CY 2019. During the Second

Govantes-Mestizo River Stakeholders’ Forum held on June 20-21, 2019, it was agreed that a

monitoring station will be established at San Mariano, Bantay in the Province of Ilocos Sur. Water

Quality Monitoring of the San Mariano monitoring station was started on July, CY 2019 but due to

inaccessibility of the monitoring station, no data were recorded in the succeeding months except in

November and December of CY 2019. Therefore, a total of eight (8) monitoring stations were

established along Govantes-Mestizo River System.



MONITORING RESULTS OF GOVANTES-MESTIZO RIVER

The results of the water quality monitoring of the nine (9) monitoring stations in the Govantes-

Mestizo River System for 2019 are to wit:

D.1. Potential of Hydrogen (pH)

Table 148 shows the pH Monitoring Data for CY 2019. All monitoring stations met the DENR Water

Quality Guideline of 6.5-9.0.


Station

ID

NAME OF

STATION

PARAMETER


Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec MIN MAX AVE

SAN-1 Quirino

Bridge 8.8 8.8 8.7 8.6 7.9 7.9 8 * 6.9 1 --- 1.0 8.8 7.4

VIG-1 Brgy. 4 7.6 8.8 8.1 - - - 7.2 7.2 7.1 6.9 6.9 6.9 8.8 7.5

VIG-2

Brgy. 6/

Hanging

Bridge

* 8.3 8.3 8.3 - - 7.7 -- - 7.08 7.1 7.1 8.3 7.8

VIG -3

Brgy.

Pagpartian/

Cabangtalan

8 8.3 8.0 7.4 7.4 7.4 7.2 7 7.1 --- --- 7.0 8.3 7.5

VIG-4 Brgy.

Capangpangan 7.5 7.6 7.5 7.5 7.3 7.2 7.3 6.9 7 --- --- 6.9 7.6 7.3

VIG-5 Brgy.

Beddeng 8.2 9 9 8 7.3 7.3 7.1 * 7.2 7.1 9.0 7.9

VIG-6 Brgy. Tamag 8.1 8.7 8.7 8.0 7.2 7.4 7 * 7.2 7.0 8.7 7.8

BAN-1 San Mariano * * * * * -- -- -- - 7.8 7.8 7.8 7.8 7.8

DENR Water Quality

Guideline for Class

“C” Water

Classification

6.5 – 9.0

(*) No On-Site Data

(-) Stagnancy of the river

(--) Inaccessibility of monitoring station



Table 149 shows the Comparison of two (2) years annual average for Potential of Hydrogen (pH)

monitoring, it is reflected that the yearly averages from CY 2018 to CY 2019 are within the DENR

guideline for Class C water classification of 6.5 to 9.0.

Table 149. Comparison of two (2) year annual average for Potential of Hydrogen (pH)

Stations Locations Potential of Hydrogen (pH)

CY 2018 CY 2019

SAN-1 Quirino Bridge 7.4 7.4

VIG-1 Brgy. 4 7.4 7.5

VIG-2 Brgy. 6/ Hanging Bridge 7.8 7.8

VIG -3 Brgy. Pagpartian/

Cabangtalan 7.9 7.5

VIG-4 Brgy. Capangpangan 7.8 7.3

VIG-5 Brgy. Beddeng 7.6 7.9

VIG-6 Brgy. Tamag 7.4 7.8

BAN-1 San Mariano - 7.8


Class “C” Water Classification 6.5-9.0

D.2. Dissolved Oxygen (DO)

Table 150 presents the Dissolved Oxygen (DO) Monitoring Data for CY 2019. As reflected from the

table, most stations did not meet the DENR water quality guideline of ≥5 mg/L for Class C water

classification in the months of May to October. Only SAN-1 station sustained its water quality

throughout the year. The annual averages of the DO showed that all of the monitoring stations except

VIG-2 station met the DENR water quality guideline of ≥5.0 mg/L to sustain aquatic life.


(*) No Data



STATIO

N

I.D

NAME OF STATION


Feb Ma

r Apr

Ma

y

Ju

n Jul Aug Sep Oct Nov Dec Min

Ma

x Ave

SAN-1 Quirino Bridge 8.8 8.8 9.4 7.4 6.8 8.2 7.8 7.9 8.2 --- --- 6.8 9.4 8.1

VIG-1 Brgy. 4 6.5 15.9 13.4 - - - 2.4 4.7 0.8 0.37 0.4 0.4 15.9 5.6

VIG-2 Brgy. 6/ Hanging Bridge * 6 7.2 5.4 - - 5.7 -- - 1.72 1.7 1.7 7.2 4.6


Cabangtalan 12.8 12 9.5 0.8 2.3 4.7 3.4 4.9 3.7 --- --- 0.8 12.8 6.0

VIG-4 Brgy. Capangpangan 7 6.8 4.5 3.7 3.4 2..9 4.2 6 5.4 --- --- 3.4 7.0 5.1

VIG-5 Brgy. Beddeng 12.2 15 18.4 7.4 3.3 7.1 4.1 5.3 3.9 --- --- 3.3 18.4 8.5

VIG-6 Brgy. Tamag 11.5 13.2 13.6 6.6 3.2 4.8 3.4 4.1 3.9 --- --- 3.2 13.6 7.1

BAN-1 San Mariano * * * * * -- -- -- -- 6.28 6.3 6.3 6.3 6.3


for

Class " C " Waters

≥5.0



Table 151 shows the comparison of two (2) years annual averages for Dissolved Oxygen (DO)

monitoring in all eight (8) monitoring stations of the Govantes-Mestizo River System. The table

shows an improvement in the water quality from CY 2018 to CY 2019 except at station VIG-2.

Almost all of the stations meet the DENR minimum Water Quality Guideline of 5.0 mg/L.

Table 151. Comparison of two (2) year annual average for Dissolved Oxygen (DO)

Stations Locations Dissolved Oxygen (DO)

CY 2018 CY 2019

SAN-1 Quirino Bridge 6.3 8.1

VIG-1 Brgy. 4 4.6 5.6

VIG-2 Brgy. 6/ Hanging Bridge 5.7 4.6


Cabangtalan 7.3 6.0

VIG-4 Brgy. Capangpangan 8.4 5.1

VIG-5 Brgy. Beddeng 8.5 8.5

VIG-6 Brgy. Tamag 4.1 7.1

BAN-1 San Mariano - 6.3


“C” Water Classification ≥5 mg/L



D.3. Biochemical Oxygen Demand (BOD)

Table 152 shows the monitoring data of Biochemical Oxygen Demand (BOD for CY 2019. Most of

the monitoring stations did not meet the DENR water quality guideline (BOD ≤7 mg/L) for Class C

water classification in several months. The annual averages of the BOD showed that only SAN-1 and

VIG-4 met the DENR water quality guideline of .0 ≤7 mg/L.


(*) No Data



Table 153 shows the comparison of two (2) years annual average for Biochemical Oxygen Demand

(BOD) Monitoring Data. The annual averages for Biochemical Oxygen Demand from CY 2018 to CY

2019 revealed that 71% (5 out of 7) monitoring stations did not meet the Water Quality Guideline of

≤7.0mg/L for Class C water classification.

Table 153. Comparison of two (2) year annual average for Biochemical Oxygen Demand

Stations Locations BOD

CY 2018 CY 2019

SAN-1 Quirino Bridge 4 3

VIG-1 Brgy. 4 12 14

VIG-2 Brgy. 6/ Hanging Bridge 6 10


Cabangtalan 5 27

VIG-4 Brgy. Capangpangan 8 7

VIG-5 Brgy. Beddeng 7 9

VIG-6 Brgy. Tamag 20 9

BAN-1 San Mariano - N/A

DENR Water Quality Guideline for Class “C” Water

Classification ≤7 mg/L

STATIO

N

I.D

NAME OF STATION


Feb Ma

r Apr

Ma

y

Ju


Ma

x Ave

SAN-1 Quirino Bridge 3 2 2 7 <1 <1 4 3 <1 --- --- 1 7 3

VIG-1 Brgy. 4 12 13 * - - - 16 6 23 * * 6 23 14

VIG-2 Brgy. 6/ Hanging Bridge * 6 7 21 - - 6 -- - * * 6 21 10


Cabangtalan 5 9 13 177 10 10 11 5 4 --- --- 4 177 27

VIG-4 Brgy. Capangpangan 2 5 9 22 3 13 2 4 2 --- --- 2 22 7

VIG-5 Brgy. Beddeng 8 11 - 19 4 11 7 4 6 --- --- 4 19 9

VIG-6 Brgy. Tamag 5 7 12 23 13 8 3 3 8 --- --- 3 23 9

BAN-1 San Mariano * * * * * -- -- -- -- * * N/A N/A N/A


for

Class " C " Waters

≤7



D.4. Color

Based on the tabulated monitoring data for CY 2019 in Table 154, all stations met the maximum

Color requirement of 75 TCU. The Color values range from 5 TCU to 20 TCU.


(*) No Data



D.5. Temperature

Tables 155 shows the Temperature Monitoring Data for Class C Water Type. Several monitoring

stations did not meet the DENR Water Quality Guideline (25-31°C) for temperature.


(*) No Data



STATION

I.D NAME OF STATION

Color (TCU)

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Min Max Ave

SAN-1 Quirino Bridge 5 5 5 5 20 10 10 <5 10 --- --- 5 20 8

VIG-1 Brgy. 4 10 10 10 - - - 15 5 15 10 10 5 15 11

VIG-2 Brgy. 6/ Hanging Bridge * 20 20 20 - - 20 -- - 20 20 20 20 20


Cabangtalan 5 10 10 15 25 15 15 10 10 --- --- 5 25 13

VIG-4 Brgy. Capangpangan 5 5 5 5 20 15 15 5 10 --- --- 5 20 9

VIG-5 Brgy. Beddeng 10 10 15 15 20 15 10 5 10 --- --- 5 20 12

VIG-6 Brgy. Tamag 5 15 15 10 15 15 10 5 10 --- --- 5 15 11

BAN-1 San Mariano * * * * * -- -- -- -- <5.0 <5 5 5 5


For Class " C " Waters 75

STATION

I.D NAME OF STATION

Temperature (°C)


SAN-1 Quirino Bridge --- 31.25 33.58 - - 31.15 26.5 29.91 30.1 - - 26.50 33.58 30.42

VIG-1 Brgy. 4 --- 30.51 30.97 - - - 24.93 30.79 30.21 --- --- 24.93 30.97 29.48

VIG-2 Brgy. 6/ Hanging Bridge --- 29.17 34.34 33.52 - - 29.86 -- - --- --- 29.17 34.34 31.72


Cabangtalan --- 31.15 34.58 32.75 --- 32.15 37.21 30.12 29.81 - - 29.81 37.21 32.54

VIG-4 Brgy. Capangpangan --- 30.18 29.38 30.63 --- 30.36 28.54 29.83 29.01 - - 28.54 30.63 29.70

VIG-5 Brgy. Beddeng --- 30.76 31.97 33.48 --- 33.84 28.53 31.51 30.5 - - 28.53 33.84 31.51

VIG-6 Brgy. Tamag --- 31.21 34.77 35.08 --- 31.18 28.57 30.25 30.15 - - 28.57 35.08 31.60

San Mariano * * * * * -- -- -- -- --- --- N/A N/A N/A


for Class " C " Waters 25-31°C



D.6. Nitrate

Table 156 shows the monitoring data for the monitoring stations of the Govantes-Mestizo River

System. As gleaned from the table, the Nitrate results revealed that all monitoring station met the

DENR Water Quality Guideline of ≤7 mg/L for Class C water classification.


(*) No Data



STATIO

N

I.D

NAME OF STATION

Nitrate (mg/L)

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Min Ma

x Ave

SAN-1 Quirino Bridge <0.05 0.06 <0.05 <0.05 0.5 0.2

1 0.1 0.19 0.17 --- --- 0.05 0.50 0.15

VIG-1 Brgy. 4 0.76 0.73 0.3 - - - 0.2 1.58 <0.0

5 0.5 0.5 0.05 1.58 0.58

VIG-2 Brgy. 6/ Hanging

Bridge * <0.05 <0.05 <0.05 - - <0.05 -- - 0.13 0.13 0.05 0.13 0.08


Cabangtalan 0.78 0.47 0.3 0.1 0.5

0.4

1 0.59 0.93 0.93 --- --- 0.10 0.93 0.56

VIG-4 Brgy. Capangpangan 1.1 1.2 1.1 0.9 0.7 0.4

4 0.66 1.02 1.15 --- --- 0.44 1.20 0.92

VIG-5 Brgy. Beddeng 0.53 0.29 0.2 0.1 0.7 0.5 0.69 1.02 1.15 --- --- 0.10 1.15 0.58

VIG-6 Brgy. Tamag 0.58 0.32 0.2 0.1 0.7 0.2

3 0.64 0.98 1.2 --- --- 0.10 1.20 0.55

BAN-1 San Mariano * * * * * -- -- -- -- 0.06 0.06 0.06 0.06 0.06


Value for Class " C " Waters ≤7.0 mg/L



D. 7. Phosphate

Table 157 shows the Phosphate Monitoring Data for CY 2019 of the eight (8) established monitoring

stations of the Govantes-Mestizo River System. As gleaned from the table, the Phosphate data

revealed that all monitoring stations except VIG-1 in the months of November and December met the

DENR Water Quality Guideline of ≤0.5 mg/L for Class C water classification.


STATIO

N

I.D

NAME OF

STATION

Phosphate (mg/L)

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Min Ma

x Ave

SAN-1 Quirino Bridge <0.05 <0.05 <0.05 <0.05 <0.0

5 0.08

<0.0

5

<0.0

5

<0.0

5 --- --- 0.05 0.08 0.05

VIG-1 Brgy. 4 0.32 <0.05 0.20 - - - 0.19 0.17 0.34 0.56 0.56 0.05 0.56 0.30


Bridge * 0.11 0.15 0.05 - - 0.07 -- - 0.35 0.35 0.05 0.35 0.18


Cabangtalan 0.08 0.14 0.18 0.43 0.25 0.22 0.2 0.12 0.23 --- --- 0.08 0.43 0.21

VIG-4 Brgy.

Capangpangan 0.07 <0.05 0.10 0.10 0.16 0.21 0.12 0.07 0.11 --- --- 0.05 0.21 0.11

VIG-5 Brgy. Beddeng 0.20 0.05 0.22 0.41 0.17 0.18 0.14 0.07 0.16 --- --- 0.05 0.41 0.18

VIG-6 Brgy. Tamag 0.11 0.08 0.24 0.35 0.25 0.25 0.17 0.11 0.18 --- --- 0.08 0.35 0.19

BAN-1 San Mariano * * * * * -- -- -- -- <0.0

5

<0.0

5 0.05 0.05 0.05

DENR Water Quality


" Waters

≤0.5 mg/L

(*) No Data





D.8. Chloride

Table 158 shows the Chloride Monitoring Data for CY 2019. As gleaned from the table, the Chloride

results revealed that all monitoring stations except SAN-1 and BAN-1 stations did not meet the

DENR Water Quality Guideline of ≤350 mg/L for Class C water classification. The table also showed

that saline water reaches the monitoring stations in some of the monitoring periods.


(*) No Data



(---) Prescribed Frequency of Water Quality Monitoring (10 Months) as per DAO 2016-08 has

already been met

STATIO

N

I.D

NAME OF STATION

Chloride (mg/L)


SAN-1 Quirino Bridge <10 <10 <10 <10 <10 <10 <10 <10 <10 --- --- 10 10 10

VIG-1 Brgy. 4 159 157 177 - - - 1886

2 310

235

9 635 1240 157

1886

2 2987


Bridge * 181 147 147 - -

2204

6 -- -

1374

6 9437 147

2204

6 7617


Cabangtalan

214

1 2316 1394 3653 447

407

9

1126

8 <10 435 260 --- 10

1126

8 2600

VIG-4 Brgy. Capangpangan 69 132 79 231 514 535

8

1224

8 20 170 320 --- 20

1224

8 1914

VIG-5 Brgy. Beddeng 368

7

1177

5 3633

1595

7 351

372

9 4076 <10 320 210 --- 10

1595

7 4375

VIG-6 Brgy. Tamag 483

7

1545

5

1313

4

1890

3 231

373

9 3900 30 465 240 --- 30

1890

3 6093

BAN-1 San Mariano * * * * * -- -- -- -- <10 <10 10 10 10


Value for

Class " C " Waters

≤350 mg/L



D.9. Total Suspended Solids (TSS)


except SAN-1 station in the months of June, August and October met the DENR water quality

guideline (TSS ≤80 mg/L) for the Total Suspended Solids parameter.

The high recorded values were noted during the occurrence of rainfall before or on the day of the

sampling period.

Table 159. Total Suspended Solids Quarterly Monitoring Data, CY 2019

(*) No Data



D.10. Fecal Coliform

Results of the Fecal Coliform Monitoring data is presented in Table 160. The annual geometric mean

shows that all monitoring stations except SAN-1 station did not meet the DENR water quality

guideline of 200 MPN/100 ml. Alarming Fecal Coliform values were noted all year round.

STATION

I.D NAME OF STATION


Feb Mar Apr Ma

y Jun Jul Aug Sep Oct Nov Dec Min

Ma

x Ave

SAN-1 Quirino Bridge 15 9 18 5 169 52 236 79 626 --- --- 5 626 134

VIG-1 Brgy. 4 26 62 7 - - - 5 19 22 12 12 5 62 21


Bridge * 9 <2 6 - - 11 -- - 13 13 2 13 9


Cabangtalan 13 20 11 17 7 10 8 32 32 --- --- 7 32 17

VIG-4 Brgy. Capangpangan 11 19 <2 3 8 7 5 28 22 --- --- 2 28 12

VIG-5 Brgy. Beddeng 24 43 7 17 3 14 6 23 33 --- --- 3 43 19

VIG-6 Brgy. Tamag 25 27 10 15 9 7 4 14 12 --- --- 4 27 14

BAN-1 San Mariano * * * * * -- -- -- -- 5 5 5 5 5


Value for Class " C " Waters ≤80 mg/L



Station

ID

NAME OF

STATION

PARAMETER

Min Max Geomean Fecal Coliform (FC)

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

SAN-1 Quirino

Bridge 230 <1.8 8 23 130 2200 9200 790 9400 79 79 2 9400 186

VIG-1 Brgy. 4 2400 >160000 24000 - - - 2400 >160000 160000 160000 * 2400 160000 36754

VIG-2

Brgy. 6/

Hanging

Bridge

* 79 2400 140 - - 2400 -- - 2400 * 79 2400 687

VIG -3

Brgy.

Pagpartian/

Cabangtalan

9200 23 24000 >160000 >160000 92000 24000 35000 >160000 54000 54000 23 160000 26585

VIG-4

Brgy.

Capangpanga

n

5400 >160000 24000 2000 22000 92000 9200 54000 24000 24000 24000 2000 160000 21973

VIG-5 Brgy.

Beddeng 5400 330 330 6629 160000 >160000 16000 35000 92000 160000

16000

0 330 160000 19212

VIG-6 Brgy. Tamag 2400 >160000 24000 2200 >160000 54000 5400 160000 54000 35000 35000 2200 160000 28483

BAN-1 San Mariano * * * * * -- -- -- -- 220 * 220 220 N/A

DENR Water Quality

Guideline for Class

“C” Water

Classification

200 MPN/100ml

(*) No Data





Table 161 displays the comparison of the two (2) years annual geometric mean for Fecal Coliform

(FC). The Geometric mean of the results of monitoring for CY 2018 and CY 2019 showed that all

seven (7) monitoring stations did not meet the DENR Water Quality Guideline for Class C water

classification of 200 MPN/100mL except at station SAN-1 in CY 2019. However, decrease of 98.07%

was noted for CY 2019 at Station SAN-1.

Table 161. Comparison of two (2) year annual geometric mean for Fecal Coliform (FC)

Stations Locations

Fecal Coliform

CY

2018

CY

2019

% increase/ decrease

from CY 2018- CY 2019

SAN-1 Quirino Bridge 9625 186 98.07% decrease

VIG-1 Brgy. 4 453 36754 8013.47% increase


Bridge 204 687 236.76% increase


Cabangtalan 349 26585 7517.48% increase

VIG-4 Brgy.

Capangpangan 7327 21973 199.89% increase

VIG-5 Brgy. Beddeng 2428 19212 691.27% increase

VIG-6 Brgy. Tamag 5519 28483 416.09% increase

BAN-1 San Mariano - N/A N/A

DENR Water Quality



200 MPN/ 100 ml



averages are within the Water Quality Guideline for C waters except some of the monitoring stations

for the parameters Dissolved Oxygen, Biochemical Oxygen Demand, Chloride, Temperature, Total

Suspended Solids and geomean for Fecal Coliform.


Station

ID

NAME OF

STATION

PARAMETERS

Averages Geometric

Mean

pH DO BOD NO3-

N PO4 Cl


SAN-1 Quirino

Bridge 7.4 8.1 3 0.15 0.05 10 8 30.42 134 186

VIG-1 Brgy. 4 7.5 5.6 14 0.58 0.30 2987 11 29.48 21 36754

VIG-2

Brgy. 6/

Hanging

Bridge

7.8 4.6 10 0.08 0.18 7617 20 31.72 9 687

VIG -3

Brgy.

Pagpartian/

Cabangtalan

7.5 6.0 27 0.56 0.21 2600 13 32.54 17 26585

VIG-4 Brgy.

Capangpangan 7.3 5.1 7 0.92 0.11 1914 9 29.70 12 21973

VIG-5 Brgy.

Beddeng 7.9 8.5 9 0.58 0.18 4375 12 31.51 19 19212

VIG-6 Brgy. Tamag 7.8 7.1 9 0.55 0.19 6093 11 31.60 14 28483

BAN-1 San Mariano 7.8 6.3 N/A 0.06 0.05 10 5 N/A 5 N/A

DENR Water Quality

Guideline for Class

“C” Water

Classification

6.0-

9.0

5.0

mg/L

7.0

mg/L

7.0

mg/L

0.5

mg/L

350

mg/L

75

TCU

25-31

°C

80.0

mg/L

200 MPN/

100

D.11. Trace Metals

Table 163 and Table 164 shows the results of the heavy metal analysis on various sampling points of

the Govantes-Mestizo in CY 2018 and CY 2019, respectively.

a. Arsenic (As)

The results of monitoring in CY 2018 of the five (5) established monitoring stations are

far below the water quality guideline of 0.05 mg/L Arsenic with values of less than 0.01

mg/L.

b. Cadmium (Cd)

The results of the Heavy Metal Analysis in CY 2019 for Cadmium recorded less than

0.001 mg/L which is far below the water quality guideline of 0.005 mg/L.

c. Chromium (Cr)

The five stations of the Govantes-Mestizo River System that were tested for the presence

of chromium in CY 2018 obtained results that are below the DENR water quality

guideline standard of 0.05 mg/L.


d. Copper (Cu)

All five representative stations of the Govantes-Mestizo River System attained a value of

<0.01mg/L in CY 2018. All are within the DENR water quality guideline of 0.02 mg/L

e. Lead (Pb) Four stations were tested for Lead Concentration in CY 2019, all four stations yielded

values that are less than 0.05 mg/L, the DENR Guideline for Lead.

f. Mercury The representative stations all yielded <0.0002 mg/L values of mercury, they have met

the DENR water quality guideline of 0.002 mg/L.

g. Zinc (Zn)

All of the representative stations have met the DENR water quality guideline of less than

2 mg/L.



Parameters

STATIONS DENR

Water

Quality

Guideline

for Class

C Waters

(mg/L)

Barangay

4

Barangay

Pantay

Daya

Barangay

Pantay

Fatima

Barangay

6

Barangay

Tamag

Arsenic <0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED) 0.05

Cadmium <0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED)

<0.006

(PASSED) 0.005

Chromium <0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED)

<0.02

(PASSED) 0.05

Copper <0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED)

<0.01

(PASSED) 0.02

Lead <0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED)

<0.05

(PASSED) 0.05

Zinc <0.03

(PASSED)

<0.03

(PASSED)

<0.03

(PASSED)

<0.03

(PASSED)

<0.03

(PASSED) 2

Mercury <0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED)

<0.0001

(PASSED) 0.002

Parameters

STATIONS DENR Water Quality

Guideline for Class C

Waters (mg/L) Barangay 4 Barangay

Beddeng

Barangay

Tamag

Quirino

Bridge

Cadmium <0.001

(PASSED)

<0.001

(PASSED)

<0.001

(PASSED)

<0.001

(PASSED) 0.005

Lead <0.005

(PASSED)

<0.005

(PASSED)

<0.005

(PASSED)

<0.005

(PASSED) 0.05

Zinc 0.03

(PASSED)

<0.02

(PASSED)

<0.03

(PASSED)

<0.05

(PASSED) 2

Mercury <0.0002

(PASSED)

<0.0002

(PASSED)

<0.0002

(PASSED)

<0.0002

(PASSED) 0.002


D.12. Inorganic Compounds

An inorganic compound is typically a chemical compound that lacks carbon–hydrogen bonds, that is,

a compound that is not an organic compound. [14]

Table 166 shows the Inorganic Compounds

Monitoring Data for CY 2018 and CY 2019.

a. Ammonia

The monitoring data for CY 2019 in the four (4) established monitoring stations met the

guideline value of 0.05 mg/L for ammonia, 0.1 mg/L for Cyanide Free, 275 mg/L Sulfate, 7

mg/L Nitrate and 0.05mg/L and Phosphate.

Table 166. Inorganic Compounds Analysis for CY 2018 and CY 2019

Parameter

s


Quality

Guideline for

Class C Waters

(mg/L)

VIG-7

Barangay

Pantay

Daya

VIG-4

Baranga

y

Pantay

Fatima

VIG-3

Barangay

6

VIG-6

Barangay

4

VIG-5

Barangay

Tamag

VIG-2

Baranga

y

Beddeng

SAN-1

Quirino

Bridge

CY

2018

CY

2018

CY

2018

CY

2018

CY

2019

CY

2018

CY

2019

CY

2019

CY

2019

Ammonia 1.3 <0.003 0.07 0.008 0.05 0.04 0.02 0.5 0.01 0.05

Cyanide,

Free <0.02 <0.05 0.04 <0.02 <0.004

<0.0

2 <0.004 <0.004 <0.004 0.1

Sulfate - - - 187 - - 91 100 22 275

Nitrate 2.1 <0.0002 1.1 1.7 0.58 0.1 0.55 0.58 0.15 7

Phosphate 0.2 <0.007 0.09 0.1 0.30 0.07 0.19 0.18 0.05 0.5

D.13. OrganoChlorine Pesticides (OCPs)






Parameters


Quality

Guideline for

Class C Waters

(µg/L)

Barangay 4

Barangay

Pantay

Daya

Barangay Pantay

Fatima Barangay 6

Barangay

Tamag






Alpha Chlordane ND ND ND ND ND No Guideline


Chlordane (tech) ND ND ND ND ND No Guideline





Endosulfan



Endrin Aldehyde ND ND ND ND ND No Guideline


Gamma-BHC



Heptachlor




(ND)- not detected



Parameters


Quality Guideline

for Class C

Waters (µg/L)

Barangay

4

Barangay

Beddeng

Barangay

Tamag

Quirino

Bridge

4,4’-DDD ND ND ND ND No Guideline

4,4’-DDE ND ND ND ND No Guideline

4,4’-DDT ND ND ND ND No Guideline

Aldrin ND ND ND ND No Guideline

Alpha-BHC ND ND ND ND No Guideline

Alpha Chlordane ND ND ND ND No Guideline

Beta-BHC ND ND ND ND No Guideline

Chlordane (tech) ND ND ND ND No Guideline

Delta-BHC ND ND ND ND No Guideline

Dieldrin ND ND ND ND No Guideline

Endosulfan I ND ND ND ND No Guideline

Endosulfan II ND ND ND ND No Guideline

Endosulfan

Sulfate ND ND ND ND No Guideline

Endrin ND ND ND ND No Guideline

Endrin Aldehyde ND ND ND ND No Guideline

Eldrin Ketone ND ND ND ND No Guideline

Gamma-BHC

(Lindane) ND ND ND ND No Guideline

Heptachlor ND ND ND ND No Guideline

Heptachlor

Epoxide ND ND ND ND No Guideline

Methoxychlor ND ND ND ND No Guideline

Toxaphene ND ND ND ND No Guideline

(ND)- not detected

D.14. OrganoPhosphorus Compounds (OPPs)





Table 169. Organophosphorus Compounds Analysis for CY 2018

Parameters


Quality Guideline

for Class C Waters

(µg/L)

Barangay

4

Barangay

Pantay Daya

Barangay

Pantay Fatima

Barangay

6

Barangay

Tamag






















Parameters


Quality Guideline

for Class C Waters

(µg/L)

Barangay

4

Barangay

Pantay Daya

Barangay

Pantay Fatima

Barangay

6

Barangay

Tamag






















E. MONITORING OF THE AGNO RIVER SYSTEM

As identified in the Agno River Basin Master Plan, the water quality status of the Agno River System

shall be monitored regularly by the EMB and will be reported on a regular basis.

EMB coordinated with CENRO Urdaneta City and CENRO Dagupan City to establish water quality

monitoring stations and profiled the Agno River System. Measurement of baseline on-site data,

obtaining the GPS coordinates of the monitoring stations and collection of water samples. The water

samples were analyzed at EMB laboratory for the primary parameters namely Potential of Hydrogen

(pH), Dissolve Oxygen (DO), Biochemical Oxygen Demand (BOD), Total Suspended Solids (TSS)

and Fecal Coliform.

Three (3) monitoring stations were established in three (3) strategic locations. The upstream station

was located at San Manuel bridge, in the municipality of San Manuel; the midstream station at Don

Teofilo Sison Bridge in the municipality of Rosales and the downstream station at Domalandan bridge

in the municipality of Lingayen. Table 171 presents the established monitoring stations of the Agno

River System and their respective geographic coordinates.

Table 171. Monitoring Stations of the Agno River System

Station

ID Monitoring Stations

Municipality/

City

GPS Coordinates

Latitude Longitude

MAN-1 San Manuel Bridge San Manuel 16°7'53"N 120°41'5"E

ROS-1 Don Teofilo Sison Bridge Rosales 15°53’15” N 120°35’47” E

LIN-2 Domalandan Bridge Lingayen 15°59’13” N 120°13’27” E

RESULTS OF MONITORING

The results of the monthly water quality monitoring of the three (3) monitoring stations in the Agno

River System for 2019 are to wit:

E.1 Potential of Hydrogen (pH)

Table 172 shows the Potential of Hydrogen (pH) Monitoring Data for CY 2019. The monitoring data

revealed that all monitoring stations met the DENR Water Quality Guideline of 6.5-9.0 pH range.

Moroever, the annual average for all the monitoring stations met the DENR Water Quality Guideline.


STATIO

N

I.D

NAME OF STATION



n Jul Aug Sep Oct Nov Dec Min Max Ave

MAN-1 San Manuel Bridge 7.9 8.1 7.8 7.8 7.9 7.4 7.3 7.0 7.3 6.9 7.13 6.70 6.7 8.1 7.4

ROS-1 Don Teofilo Sison

Bridge 8.3 8.2 8.2 8.2 8.5 7.9 8.1 7.1 7.2 7.4 7.56 6.70 6.7 8.5 7.8

LIN-2 Domalandan Bridge 8.2 8.6 8.2 8.4 8.8 8.0 8.1 7.3 7.2 7.5 7.04 7.20 7.04 8.8 7.9


Value for Class " C " Waters 6.5-9.0


E.2 Dissolved Oxygen (DO)

Table 173 presents the Dissolved Oxygen Monitoring Data for CY 2019. As reflected from the table,

all monitoring stations except LIN-2 station in the month of December met the DENR minimum

requirement of 5 mg/L for Class C water classification. The annual average of the DO results also

showed that all of the monitoring stations met the DENR water quality guideline of 5.0 mg/L to

sustain aquatic life.


E.3 Biochemical Oxygen Demand (BOD)

Table 174 shows the monitoring data of Biochemical Oxygen Demand (BOD for CY 2019. All three

(3) monitoring stations met the DENR water quality guideline (BOD ≤7 mg/L) for Class C water

classification except LIN-2 station in the month of March, CY 2019.

Table 174. Biochemical Oxygen Demand (BOD) Monthly Monitoring Data, CY 2019

(-) Prescribed Frequency of Water Quality Monitoring (10 Months) as per DAO 2016-08 has already been met

STATIO

N

I.D

NAME OF

STATION


Nov

CY

2018

CY 2019

Jan Feb Ma

r Apr

Ma

y

Ju


Ma

x Ave

MAN-

1 San Manuel Bridge 7.8 7.6 6.9 6.7 5.9 6.9 7.8 5.4 6.7 7.7 7.9 7.77 7.00 5.4 7.9 7.0


Bridge 8.5 8.5 8.0 7.9 7.1 7.7 7.9 8.2 7.6 7.8 8.2 7.52 5.90 5.9 8.5 7.7

LIN-2 Domalandan

Bridge 9.4 8.2 10.1 7.3 8.0 7.1 7.5 7.5 7.0 7 7.4 6.46 3.60 3.6 10.1 7.3

DENR Water Quality


" Waters

≥5.0

STATION

I.D NAME OF STATION


Nov

CY

2018

CY 2019


MAN-1 San Manuel Bridge 2 4 2 4 2 6 5 1 <1 <1 <1 - 1 6 3

ROS-1 Don Teofilo Sison Bridge 3 4 3 4 2 4 5 2 <1 1 <1 - 1 5 3

LIN-2 Domalandan Bridge 3 4 5 9 2 7 5 <1 <1 1 1 - 1 9 4


for Class " C " Waters ≤7.0


E.4 Color

Based on the tabulated monitoring data for CY 2019 in Table 175, all stations met the maximum

Color requirement of 75 TCU. The Color values range from 5 TCU to 15 TCU. Figure 83 is the

graphical presentation for Color monitoring for the CY 2019.


STATION

I.D NAME OF STATION

Color (TCU)

May Jun Jul Aug Sep Oct Nov Dec Min Max Ave

MAN-1 San Manuel Bridge 5 <5 - 5 - <5 <5 <5 5 5 5


Bridge 5 <5 - 10 - <5 5 <5 5 10 6

LIN-2 Domalandan Bridge 10 5 - 15 - 10 10 <5 5 15 9


Value for Class " C " Waters ≤75 TCU

(-) No sample collected

E.5 Nitrate

Table 176 shows the monitoring data for the monitoring stations of the Agno River System. As

gleaned from the table, the Nitrate results revealed that all monitoring station met the DENR Water

Quality Guideline of ≤7 mg/L for Class C water classification.


STATION

I.D NAME OF STATION

Nitrate (mg/L)


MAN-1 San Manuel Bridge <0.05 0.08 - 0.28 - 0.57 0.54 0.45 0.05 0.57 0.33


Bridge <0.05 0.1 - 0.57 - 0.44 0.49 0.46 0.05 0.57 0.35

LIN-2 Domalandan Bridge <0.05 <0.05 - 0.27 - 0.28 0.40 0.29 0.05 0.40 0.22





E.6 Phosphate


Phosphate results revealed that all stations met the DENR Water Quality Guideline of ≤0.5 mg/L for

Class C water classification.

Table 177. Phosphate Monitoring Data for CY 2019

STATION

I.D NAME OF STATION

Phosphate (mg/L)


MAN-1 San Manuel Bridge <.05 <0.05 - <0.05 - <0.05 <0.05 0.06 0.05 0.06 0.05

ROS-1 Don Teofilo Sison Bridge 0.37 <0.05 - <0.05 - <0.05 0.06 <0.05 0.05 0.37 0.11

LIN-2 Domalandan Bridge <0.05 <0.05 - <0.05 - 0.09 0.11 0.05 0.05 0.11 0.07




E.7 Chloride

Table 178 shows the Chloride Monitoring Data for CY 2019. As gleaned from the table, the Chloride

results revealed that all monitoring stations except LIN-2 in the months of May, June, November and

December met the DENR Water Quality Guideline of ≤350 mg/L for Class C water classification.


STATION

I.D NAME OF STATION

Chloride (mg/L)


MAN-1 San Manuel Bridge <10 <10 - <10 - <10 <10 <10 10 10 10

ROS-1 Don Teofilo Sison Bridge <10 <10 - <10 - <10 <10 <10 10 10 10

LIN-2 Domalandan Bridge 436 9553 - 20 - <10 790 1190 10 9553 2000


for Class " C " Waters ≤350 mg/L



E.8 Total Suspended Solids (TSS)


except LIN-2 in the month of September met the DENR water quality guideline (TSS ≤80 mg/L) for

the Total Suspended Solids parameter.


STATIO

N

I.D

NAME OF STATION


Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Min Ma

x Ave

MAN-1 San Manuel Bridge 2 4 3 <2 <2 2 7 3 5 3 2 <2 2 7 3

ROS-1 Don Teofilo Sison Bridge 8 16 12 <2 9 16 9 49 47 15 43 5 2 49 19

LIN-2 Domalandan Bridge 8 3 3 8 44 10 58 48 96 29 27 25 3 96 30


Value for Class " C " Waters ≤80 mg/L


E.8 Fecal Coliform

Results of the Fecal Coliform Monitoring data is presented in Table 180. The annual geometric mean shows that all monitoring stations except MAN-1 station

did not meet the DENR water quality guideline of 200 MPN/100 ml.


Station

ID

NAME OF

STATION

Fecal Coliform (FC)

Nov.

CY

2018

CY 2019

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec MIN MAX GEOMEAN

MAN-1 San Manuel

Bridge 23 24000 230 230 <1.8 700 <1.8 54010 790 23 79 130 <1.8 1.8 54010 139

ROS-1 Don Teofilo

Sison Bridge 5400 24000 230 790 39 330 790 2400 790 4000 5400 0.06 220 0.06 24000 412

LIN-2 Domalandan

Bridge 790 24000 24000 490 49 490 1300 9200 2400 3500 3500 0.11 49 0.11 24000 696

DENR Water Quality



≤200 MPN/100 mL



F. ADOPT-AN-ESTERO/ WATERBODY PROGRAM

Rivers are essential to human well-being. However, rapid population growth, urbanization and

demand for increased and cheaper food production have damaged natural river systems, causing

many problems such as water pollution, increased flood risk, loss of biodiversity and soil erosion.

Other factor that contribute to river degradation are the poor waste disposal, sewage, garbage and

liquid waste coming from household’s activities, agricultural lands and factories that are directly

discharged into esteros/creeks and rivers. These liquid wastes contain harmful chemicals and toxins,

which make the water poisonous for aquatic animals, plants and including humans.

Indeed, the Adopt-an-Estero Waterbody Program is a collaborative undertaking between and among

the Estero Community, Donor-Partner, Local Government Unit/s and the Department of Environment

and Natural Resources to achieve a cleaner, safer and healthier environment. The main objective of

the Adopt-an-Estero/Waterbody is to clean up canals and creeks of wastes, debris and silt through

community mobilization and information, education and communication programs, the support of the

various organizations, Local Government Units and private sector was enhanced to increase the

coverage of the program.

Since the program was launched, EMB Region I has been convening partners from all over the region

to continuously engage them in the clean-up and rehabilitation particularly segment of an estero and

river tributary they adopted. Activities under the program may include community mobilization,

dredging of the creeks, regular clean-up drive and other livelihood programs.

For this year, the Program achieved another milestone through forged partnerships with existing

Donor Partners (Rotary Club of Uptown Dagupan 2000) who committed to clean-up and rehabilitate

the Santiago Creek located in Dagupan City which is a tributary of Dagupan River which is an

important body of water that runs through the several communities in the City.

To date, this region has a total of forty-seven (47) signed Memorandum of Agreement (MOA)

consisting of forty-six (46) existing MOA that will expire on CY 2020, 2021 and 2023 and one (1)

renewed MOA that will expire on CY 2024 signed by the various organizations from Academe Sector

(2), Hospital (1), NGOs (23), NGAs (2), LGUs (5) and business/industry sectors (15).

The eight (8) years (CY 2011-CY 2019) implementation of the Adopt-an-Estero/Waterbody Program

along the designated Sinocalan-Dagupan River System Water Quality Management Area (SDRS-

WQMA) tremendously recorded 75%-95% decrease in the concentration of coliform in the twenty-

two (22) established water quality monitoring stations in the SDRS-WQMA.

The program was validated through water quality monitoring on the adopted areas for the parameters:

Potential of Hydrogen (pH), Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD) and Total

Suspended Solids (TSS) to determine its compliance with the DENR Administrative Order 2018-06 or

known as the “Water Quality Guideline and General Effluent Standards of 2016”. This is done to

assess the effectiveness of the program’s activities to the quality of the waterbody.

This region sustained and monitored twenty-three (23) adopted waterbodies consisting of ten (10)

rivers with twelve (12) monitoring stations and thirteen (13) creeks. Quarterly water quality

monitoring was undertaken in the adopted waterbodies.

Generally, the annual average monitoring data for the adopted creeks recorded that the pH, DO, BOD

and TSS met the DENR Water Quality Guideline Value set for Class C waters except in the four (4)

stations for Dissolved Oxygen, six (6) stations for Biochemical Oxygen Demand (BOD) and one (1)

station for Total Suspended Solids (TSS).

On the otherhand, the annual average monitoring data for the adopted rivers reflected that the pH, DO,

BOD and TSS met the DENR Water Quality Guideline Value set for Class C waters except at the

seven (7) stations for DO and six (6) stations for BOD.



In line with the operationalization of Adopt-an-Estero/Waterbody Program and as an strategy to clean

and protect our creeks/esteros and waterbodies pursuant to the IRR of RA 9275 of 2004, this Region

has an on-going assessment of four (4) adopted esteros namely: Arellano Creek, Herrero Creek,

Mariposa Creek and Jose Calimlim Creek which are located within the Central Business District of

Dagupan City. These creeks finally drain into Dagupan River, which is downstream of the Sinocalan

Dagupan River System Water Quality Management Area.

Among the water bodies that have been adopted by donor/partners and cared for by the host

communities themselves are the Bagutan Creek, Turod Creek, Sagunto Creek and Abenoleng River

in Sison, Pangasinan; Macalong River and Burobor Creek in Urdaneta City; Mayombo Creek and

Arellano Creek in Dagupan City; Parongking River in Calasiao, Pangasinan; San Vicente River in

Lingayen, Pangasinan; Sinocalan River in Sta. Barbara, Pangasinan.

MONITORING RESULTS OF THE ADOPT-AN-ESTERO/ WATERBODY PROGRAM

For CY 2019, there were nineteen (19) monitoring stations conducted for water quality monitoring.

There were three (3) from the province of La Union, ten (10) from the province of Pangasinan and six

(6) monitoring stations from the province of Ilocos Norte. Quarterly water quality monitoring and

sampling was undertaken.

POTENTIAL OF HYDROGEN (pH)

All monitoring stations for the adopted creeks with values recorded pH values ranging from 7.1 to

8.2 met the water quality guideline value of 6.0 to 9.0 set for Class D waterbody. Some of the

monitoring stations were not sampled due to stagnancy/drying out of river and the occurrence of

heavy rains during the scheduled of sampling.



F.1. ADOPTED CREEK/ESTEROs

For this year, this region conducted regular water quality monitoring of twenty-three (23) selected

adopted waterbodies consisting of thirteen (13) creeks and ten (10) rivers with twelve (12)

monitoring stations. The physical-chemical parameters monitored are Potential of Hydrogen (pH),

Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD) and Total Suspended Solids (TSS).

F.1.1. POTENTIAL OF HYDROGEN (pH)

Generally, all the monitoring stations for the adopted creeks recorded pH values ranging from 7.1 to

9.0 met the water quality guideline value of 6.0 to 9.0 set for Class C waterbody. Some of the

monitoring stations were not sampled due to stagnancy and drying out of river during the scheduled

sampling. Table 181 shows the Potential of Hydrogen (pH) monitoring data for CY 2019.


Name of Estero/Creek pH Concentration

1st 2nd 3rd 4th Average

Carlatan Creek - City of San Fernando, L.U 8.4 8.4 7.2 7.2 7.8

Rabon Creek - Rosario,La Union 7.3 9.0 7.8 -- 8.0

Arellano Creek-Dagupan City 7.6 7.6 7.7 7.2 7.5

Herrero Creek-Dagupan City 7.7 7.7 7.8 7.1 7.6

Mariposa Creek-Dagupan City 7.6 - 7.9 7.3 7.6

Jose Calimlim Creek 8.0 7.8 7.9 7.2 7.7

Burobor Creek-Urdaneta City 7.7 7.6 7.1 7.3 7.4

Turod Creek-Sison, Pang. 7.8 7.7 7.7 7.7 7.7

Old Mangaldan Creek-Mangaldan, Pang. 6.4 - 7.1 -- 6.7

Balaoi Creek - Pagudpud, Ilocos Norte 8.1 7.8 7.6 7.9 7.9

Balaoi Creek 2 - SitioBaniaran, Pagudpud, I.N - -- -- 7.6 7.6

Laoag Creek - Laoag City, Ilocos Norte 7.7 7.7 7.4 6.6 7.3

Tupec Creek - Laoag City, Ilocos Norte 8.0 - 7.6 7.4 7.6

Water Quality Guideline Value 6.5-9.0

set for Class "C" Waters

- Water sampling was not conducted due to stagnant water

--Water sampling was not conducted due to drying out of river bed



F.1.2. DISSOLVED OXYGEN (DO)

The results of annual average for Dissolved Oxygen (DO) recorded that four (4) out of the

thirteen (13) monitoring stations did not meet the annual average water quality guideline value of 5.0

mg/L DO for Class C waterbody. Table 182 shows the Dissolved Oxygen (DO) monitoring data for

CY 2019.


NAME OF ESTERO Dissolved Oxygen (DO), mg/L

1st 2nd 3rd 4th Ave

Carlatan Creek - City of San Fernando, L.U 7.2 6.9 5.3 *3.9 5.8

Rabon Creek - Rosario,La Union 8.1 12.3 7.7 -- 9.3

Arellano Creek-Dagupan City *0 *0 *1.4 *0 *1.4

Herrero Creek-Dagupan City *0 *3.6 5.7 *0 *4.7

Mariposa Creek-Dagupan City *0 - 6.0 *0 6.0

Jose Calimlim Creek 6.9 5.6 6.6 *2.5 5.4

Burobor Creek-Urdaneta City 6.3 5.4 6.5 6.0 6.0

Turod Creek-Sison, Pang. 8.0 8.1 8.2 7.5 7.9

Old Mangaldan Creek-Mangaldan, Pang. *0 - *2.8 -- *2.8

Balaoi Creek - Pagudpud, Ilocos Norte 6.6 7.2 6.0 7.6 6.9

Balaoi Creek 2 - Sitio Baniaran, Pagudpud, I.N - -- -- 6.8 6.8

Laoag Creek - Laoag City, Ilocos Norte *0 *0 *0.6 *0.5 *0.6

Tupec Creek - Laoag City, Ilocos Norte 6.1 - *3.6 6.1 5.3

Water Quality Guideline Value 5.0


*Below water quality guideline value



F.1.3. BIOCHEMICAL OXYGEN DEMAND (BOD)

The annual average for BOD recorded that six (6) out of the thirteen (13) monitoring stations met the

Biochemical Oxygen Demand water quality guideline value of 7.0 mg/L for Class C waterbody. The

rest of the monitoring stations exceeded the water quality guidelines with BOD values ranging from

14 mg/L to 179 mg/L. The high concentration were attributed by high organic loading due to

stagnation of the creeks and run off from nearby residential areas. Table 183 shows the Biochemical

Oxygen Demand (BOD) monitoring data, CY 2019.


NAME OF ESTERO Biochemical Oxygen Demand (BOD),

mg/L

1st 2nd 3rd 4th Ave

Carlatan Creek - City of San Fernando, L.U 1 2 2 *** 2

Rabon Creek - Rosario,La Union **14 **25 4 -- **14

Arellano Creek-Dagupan City **125 **98 **50 *** **91

Herrero Creek-Dagupan City **44 **30 2 *** **25

Mariposa Creek-Dagupan City **102 - 1 *** **52

Jose Calimlim Creek **9 5 2 *** 5

Burobor Creek-Urdaneta City 2 3 <1 *** 2

Turod Creek-Sison, Pang. <1 2 <1 *** 1

Old Mangaldan Creek-Mangaldan, Pang. **357 - <1 -- **179

Balaoi Creek - Pagudpud, Ilocos Norte 5 **9 4 *** 6

Balaoi Creek 2 - SitioBaniaran, Pagudpud, I.N - -- -- ***



Laoag Creek - Laoag City, Ilocos Norte **37 **73 **49 **27 **47

Tupec Creek - Laoag City, Ilocos Norte 3 - 4 2 3



**Exceeded water quality guideline value

-Water sampling was not conducted due to stagnant water

-- Water sampling was not conducted due to drying out of river bed

*** No BOD data during the 4th quarter due to breakdown of BOD incubator as of October 2019

F.1.4. TOTAL SUSPENDED SOLIDS (TSS)

The annual averages for the recorded TSS data shows that almost all monitoring stations met

the water quality guideline value of 80 mg/L for Class C waterbody except at station Balaoi Creek-

Station 1. Table 184 shows the monitoring data for Total Suspended Solids (TSS), CY 2019.


NAME OF ESTERO Total Suspended Solids (TSS),

mg/L

1st 2nd 3rd 4th Ave

Carlatan Creek - City of San Fernando, L.U 5 37 11 11 16

Rabon Creek - Rosario,La Union 24 42 26 -- 31

Arellano Creek-Dagupan City 16 24 43 16 25

Herrero Creek-Dagupan City 25 14 15 9 16

Mariposa Creek-Dagupan City 20 - 30 9 20

Jose Calimlim Creek 32 17 31 6 22

Burobor Creek-Urdaneta City 15 5 21 19 15

Turod Creek-Sison, Pang. 14 3 6 6 7

Old Mangaldan Creek-Mangaldan, Pang. 9 - - -- 9

Balaoi Creek - Pagudpud, Ilocos Norte 40 42 **265 20 **92

Balaoi Creek 2 - SitioBaniaran, Pagudpud, I.N - -- -- 26 26

Laoag Creek - Laoag City, Ilocos Norte 9 <2 18 6 9

Tupec Creek - Laoag City, Ilocos Norte 26 - 17 19 21

Water Quality Guideline Value 80





F.2. ADOPTED RIVERS

For CY 2019, there were ten (10) adopted rivers with twelve (12) monitoring stations

conducted for water quality monitoring. There were two (2) monitoring stations in the province of La

Union, nine (9) stations in the province of Pangasinan and one (1) station in the province of Ilocos

Sur.

F.2.1. POTENTIALS OF HYDROGEN (pH)

In general, all monitoring stations met the water quality criteria of Potential Hydrogen (pH)

for Class C waterbody. The Parongking River was stagnant due to the presence of massive water lilies

and kangkong. Table 185 shows the monitoring data for Potential of Hydrogen (pH).




NAME OF RIVER Potential of Hydrogen (pH)

1st 2nd 3rd 4th Ave

Alipang River 7.1 - 7.7 7.2 7.3

Palina River 7.7 8.7 7.9 8.2 8.1

Tambac River-Dagupan City 7.9 7.8 7.6 7.1 7.6

Dawel River-Dagupan City 7.7 8.1 7.6 6.6 7.5

Tanap River-Dagupan City 7.2 7.9 7.8 7.4 7.6

Macalong River-Urdaneta City 7.7 7.6 7.5 7.5 7.6

Parongking River – Upstream-Calasiao, Pang. 7.6 -- 7.2 7.6 7.5

Parongking River – Downstream-Calasiao, Pang. 7.8 -- 7.4 7.6 7.6

Abenoleng River (Upstream)-Sison, Pang. 7.7 8.1 7.9 7.5 7.8

Abenoleng River (Downstream)-Sison, Pang. 7.8 7.7 8.0 7.7 7.8

San Vicente River-Lingayen, Pang. 7.9 7.7 7.4 7.9 7.7

Soccoc River - Suksukit, Sto. Domingo 7.5 7.6 7.6 7.4 7.5

Water Quality Guideline Value 6.5-9.0


(-) Water sampling was not conducted due to stagnant water


F.2.2. Dissolved Oxygen (DO)

Annual Average for Dissolved Oxygen (DO) recorded that seven (7) out of twelve (12) monitoring

stations recorded below the minimum requirement of 5mg/L Dissolved Oxygen (DO) set for Class C

waterbody. The rest met the water quality guideline value of 5.0mg/L. Table 186 shows the

monitoring data for DO.


NAME OF RIVER Dissolved Oxygen (DO), mg/L

1st 2nd 3rd 4th Ave

Alipang River 6.3 - 7.8 6.5 6.9

Palina River 9.0 7.0 8.4 8.9 8.3

Tambac River-Dagupan City *1.1 *4.0 5.2 *4.6 3.7

Dawel River-Dagupan City 5.5 5.0 5.0 *3.9 4.7

Tanap River-Dagupan City *0.8 *4.7 5.6 *4.0 3.8

Macalong River-Urdaneta City 6.3 5.0 6.0 5.8 5.8

Parongking River – Upstream-Calasiao, Pang. *0 -- *3.0 *3.4 3.2

Parongking River – Downstream-Calasiao, Pang. *4.1 -- *2.7 *0.3 2.4

Abenoleng River (Upstream)-Sison, Pang. 8.0 8.2 10.8 7.8 8.7

Abenoleng River (Downstream)-Sison, Pang. 7.8 7.6 9.2 7.9 8.1

San Vicente River-Lingayen, Pang. *1.4 *4.6 *2.4 7.5 4.0

Soccoc River - Suksukit, Sto. Domingo *0 *4.4 *4.4 5.2 4.7



*Below water quality guideline value





F.2.3. BIOCHEMICAL OXYGEN DEMAND (BOD)

Tabulated monitoring data revealed that almost half (6/12) of the monitoring stations exceeded the

water quality guideline value of 7.0 mg/L BOD set for class C waterbody for the annual average.

Table 187 show the monitoring data for BOD.


NAME OF RIVER Biochemical Oxygen Demand

(BOD), mg/L

1st 2nd 3rd 4th Ave

Alipang River **10 - <1 *** 6

Palina River 4 5 1 *** 3

Tambac River-Dagupan City **15 **13 2 *** **10

Dawel River-Dagupan City 4 8 3 *** 5

Tanap River-Dagupan City **12 **10 2 *** **8

Macalong River-Urdaneta City 2 6 3 *** 4

Parongking River – Upstream-Calasiao, Pang. **67 -- 4 *** **36

Parongking River – Downstream-Calasiao, Pang. **13 -- **23 *** **18

Abenoleng River (Upstream)-Sison, Pang. 2 2 4 *** 3

Abenoleng River (Downstream)-Sison, Pang. <1 3 <1 *** 2

San Vicente River-Lingayen, Pang. **15 3 **9 *** **9

Soccoc River - Suksukit, Sto. Domingo **45 3 7 6 **15



-Water sampling was not conducted due to stagnant water



*** No BOD data during the 4th quarter due to breakdown of BOD incubator as of October 2019

F.2.4. TOTAL SUSPENDED SOLDS (TSS)

The annual average for Total Suspended Solids (TSS) recorded that all the monitoring stations

monitored met the water quality guideline value of 80 mg/L TSS. Table 188 shows the monitoring

data of Total Suspended Solids (TSS).


NAME OF RIVER Total Suspended Solids (TSS), mg/L

1st 2nd 3rd 4th Ave

Alipang River 8 - 36 4 16

Palina River <2 3 7 3 4

Tambac River-Dagupan City 17 30 23 14 21

Dawel River-Dagupan City 10 23 12 7 13

Tanap River-Dagupan City 14 20 24 16 19

Macalong River-Urdaneta City 17 26 15 12 18

Parongking River – Upstream-Calasiao, Pang. 7 -- - 9 8

Parongking River – Downstream-Calasiao, Pang. 11 -- 7.0 8 9

Abenoleng River (Upstream)-Sison, Pang. 5 <2 12 3 6

Abenoleng River (Downstream)-Sison, Pang. 10 24 5 5 11

San Vicente River-Lingayen, Pang. 33 11 12 16 18

Soccoc River - Suksukit, Sto. Domingo 8 11 8 21 12





*Exceeded water quality guideline value

(-) Water sampling was not conducted due to stagnant water


Comparison Of Monitoring Data For Dissolved Oxygen (Do) and Biochemical Oxygen Demand

(BOD), CY 2012-CY 2019

Table 189. Dissolved Oxygen (Do) Monitoring Data of Adopted Creeks/Esteros, CY 2012-CY

2019

NAME OF

CREEK

PARAMETER

REMARKS DISSOLVED OXYGEN

2012 2013 2014 2015 2016 2017 2018 2019

Carlatan Creek 8.0 5.4 5.5 4.8 5.8 With

Improvement

Rabon Creek 6.0 7.3 6.0 6.5 5.9 3.9 4.3 9.3 With

Improvement

Arellano Creek 0 0 0 7.8 0.2 0.6 0.2 1.4 With

Improvement

Herrero Creek 2.0 2.7 6.2 7.2 1.0 1.8 1.0 4.7 With

Improvement

Mariposa Creek 0 0 0 7.2 0 0.7 0.4 6.0 With

Improvement

Jose Calimlim

Creek

3.0 3.3 4.1 6.4 4.0 5.4 With

Improvement

Burobor Creek 6.0 6.0 Passed

Turod Creek 7.3 7.7 8.9 8.1 8.1 8.4 7.9 Passed

Old Mangaldan

Creek

2.2 1.1 2.5 2.8 With

Improvement

Balaoi Creek 8.0 5.6 7.5 6.9 Passed

Balaoi Creek -2 6.1 7.7 6.8 Passed

Laoag Creek 7.3 5.0 0.6 Decreasing

Tupec Creek 4 4.7 5.3 With

Improvement

Water Quality

Guideline Value

set for Class C

waters

5.0

Below water quality guideline value



Table 190. Dissolved Oxygen (Do) Monitoring Data of Adopted Rivers,

CY 2012-CY 2019

NAME OF RIVERS

PARAMETER

REMARKS DISSOLVED OXYGEN

2012 2013 2014 2015 2016 2017 2018 2019

Alipang River

(Upstream)

8.0 7.2 5.9 7.3 7.4 6.7 6.2 6.9 Passed

Palina River 8.4 9.2 8.3 Passed

Tambac River 5.0 2.8 4.0 5.6 4.2 5.2 3.7 Decreasing

Dawel River 5.1 4.0 5.0 2.6 5.4 5.5 4.7 Decreasing

Tanap River 5.3 4.7 3.8 Decreasing

Macalong River 6.0 5.9 5.8 6.7 5.5 5 6.2 5.8 Passed

Parongking River –

Upstream

5.0 5.3 8.3 4.5 2.8 3.3 4.0 3.2 No Improvement


Downstream

6.0 6.5 5.2 6.2 5.8 3.5 0.5 2.4 With

Improvement

Abenoleng River

(Upstream)

6.7 7.3 7.9 8.3 8 9.3 8.7 Passed

Abenoleng River

(Downstream)

7.7 7.8 8.8 9.5 9.2 9.7 8.1 Passed

San Vicente River 7.9 4.4 5.8 5.9 4.0 Decreasing

Soccoc River 4.8 5.4 4.7 Decreasing

Water Quality

Guideline Value set

for Class C waters

5.0

Below water quality guideline value



Table 191. Biochemical Oxygen Demand (Bod) Monitoring Data of Adopted Creeks/ Esteros, CY 2012-

CY 2019

NAME OF CREEK

PARAMETER

REMARKS BIOCHEMICAL OXYGEN DEMAND

20

12

20

13

20

14 2015 2016

201

7 2018 2019

Carlatan Creek

9 7 3 6 2 Decreasing

Rabon Creek 6 5

*2

7 5 *26

*13

2 *86

*14 With

Improvement

Arellano Creek 12 12

*4

9 *37 *85 *70 *80

*91

Increasing

Herrero Creek 10 9

*4

2 *21 *72 *26 *74

*25 With

Improvement

Mariposa Creek

*3

5

*1

9

*6

3 *33 *36 *51 *84

*52 With

Improvement

Jose Calimlim Creek

*1

6 8

6 3 11

5 With

Improvement

Burobor Creek 6 2

With

Improvement

Turod Creek 1 2 2 3 3 3

1 With

Improvement

Old Mangaldan Creek

*40 *56 *39 *179 Alarming

Balaoi Creek

3 6 3 6 Passed

Balaoi Creek -2

2 3 **

Laoag Creek *27 *43 *47

No

Improvement

Tupec Creek *30 10 3

With

Improvement

Water Quality

Guideline Value set

for Class C waters

7


** No data due to breakdown of BOD incubator



Table 192. Biochemical Oxygen Demand (BOD) Monitoring Data of Adopted Rivers, CY 2012-

CY2019

NAME OF RIVER

PARAMETER

REMARKS BIOCHEMICAL OXYGEN DEMAND

20

12

20

13

201

4

201

5

201

6

20

17 2018 2019

Alipang River

(Upstream) 7 2 6 2 6 4 4 6

Passed

Palina River 2 3 3 Passed

Tambac River 5 *8 *42 *10 6 6 *8

*10 No

Improvement

Dawel River

6 4 4 *9 7 5 5 Passed

Tanap River 4 7 *8 Increasing

Macalong River 6 5 4 7 4 *9 4 4 Passed


Upstream 3 4 *38 *33 *16

*1

7 *21

*36 No

Improvement


Downstream 3 3 *14 6 *12

*3

8 *46

*18 No

Improvement

Abenoleng River

(Upstream) 3 4 3 3 3 3

3

Passed

Abenoleng River

(Downstream) 2 *25 2 1 2 2

2

Passed

San Vicente River 5 *18 2 5 *9 Increasing

SoccocRiver

*1

1 4 *15

Increasing

Water Quality

Guideline Value set

for Class C waters

7



ENVIRONMENTAL IMPACT ASSESSMENT

Overview of Legal Basis

The Presidential Decree (PD) No. 1586 or also known as the Philippine

Environmental Impact Statement (EIS) System was enacted and implemented in June 11,

1978 to establish and institutionalize a system that balances environmental protection and

socio-economic development. It was established to enhance the Environmental Impact

Statement as stated in the laws issued by the former President Ferdinand Marcos in June 6,

1977: the Philippine Environmental Policy or PD 1151 and the Philippine Environment Code

or PD 1152. These two Presidential Decrees were enacted in order to continue the policy of

the State (PD 1151, s. 1977):

a) To create, develop, maintain and improve conditions under which man and nature

can thrive in productive and enjoyable harmony with each other;

b) To fulfill the social, economic and other requirements of present and future

generations of Filipinos; and

c) To insure the attainment of an environmental quality that is conducive to a life of

dignity and well-being.

Reiterating the policy statement under PD 1151, the Philippine EIS System had been

established which specifically states “There is hereby established an EIS system founded and

based on the EIS required, under Section 4 of PD 1151, of all agencies and instrumentalities

of the National Government including Government Owned Companies and Corporations

(GOCCs) as well as private corporations, firms and entities, for every proposed project and

undertaking which significantly affect the quality of the environment. This law focuses in the

assessment of direct and indirect impacts of a project on the biophysical and human

environment and ensuring implementation of appropriate environmental protection and

enhancement measures. Further, it was through the issuance of Proclamations 2146 and 803

that defined the main categories of environmentally critical projects (ECP) and

environmentally critical areas (ECA). Updates and streamlining of guidelines to strengthen

the implementation of the Philippine EIS System have been provided by the issuances of

several administrative orders and memorandum circulars such as the DENR Memorandum

Circular 2010-14 that provided “standardization of requirements in the implementation of

EIS System;” and EMB Memorandum Circular No. 2007-002 which on the other hand,

described the screening coverage and other application requirements under the said law.

Amendment and/or update on these guidelines in consideration of EMB’s experience/history

of processing led to the issuance of the EMB Memorandum Circular No. 2014-005:

Revised Guidelines for Coverage Screening and Standardized Requirements, defining the

four (4) main categories of environmentally critical projects (ECPs), and the twelve (12)

categories of environmentally critical areas (ECAs) that require an Environmental

Compliance Certificate (ECC) prior implementation, and streamlining the basic requirements

to be submitted for every type/status/category of the proposed project/undertaking. The

National Environmental Protection Council (NEPC) which is now, Environmental

Management Bureau under the DENR, is the implementing agency for issuance of

administrative regulations and guidelines concerning the effective planning, management and

regulation to address the environmental problems in the country.

Through the years, the PD 1586 has been enhanced and polished through issuances of

Department Orders, Presidential Proclamation, Executive Orders and Implementing Rules


and Regulations (IRR) which defined the procedural activities and applicability of such laws

on various projects as detailed in the Department of Environment and Natural Resources

(DENR) Administrative Order No. 30, series of 2003 or the Revised Procedural Manual.

Further, updates on the provisions and guidelines under PD1586 were executed and

established through the following DAOs:

a) EMB Memorandum Circular No. 2001-01: Guidance of the Implementation of

DAO 2000-05 regarding Scope of the EIS Programmatic Compliance Policy

b) EMB Memorandum Circular No. 2002-002: Guidelines for the Implementation

of AO No. 99-37 re: Environmental Revolving Fund

c) EMB Memorandum Circular No. 2004-001: Non-Requirement of Barangay

and/or Local Government Unit Endorsements and Locational Clearances for CNC

Applications

d) EMB Memorandum Circular No. 2007-001 : Environmental Impact

Assessment (EIA) Review Manual

e) EMB Memorandum Circular No. 2007-002: Revised Procedural Manual for

DENR Administrative Order No. 30, Series of 2003 (DAO 2003-30

f) EMB Memorandum Circular No. 2010-002: Clarification to DENR MC 2010-

14 and other EIS System Policy Issuances

g) EMB Memorandum Circular No. 2010-004: Guidelines for use of Screening

and Environmentally Critical Area (ECA) Map Systems

h) EMB Memorandum Circular No. 2011-002: Renewable Energy Projects to be

covered by the EIS System

i) EMB Memorandum Circular No. 2011-005: Incorporating Disaster Risk

Reduction (DRR) and Climate Change Adaptation (CCA) concerns in the

Philippine EIS System

j) EMB Memorandum Circular No. 2013-003: Establishment of Registry System

for Environmental Impact Assessment Practitioners

k) EMB Memorandum Circular No. 2014-004: Declaring Class 1 and 2 caves as

Environmentally Critical Areas (ECAs)

l) EMB Memorandum Circular No. 2014-005: Guidelines for Coverage Screening

and Standardized Requirements under PEISS amending relevant portion of MC

2007-002

m) EMB Memorandum Circular No. 2014-08: Inclusion of Mt. Hamiguitan Range

and Wildlife Sanctuary in ECA

n) EMB Memorandum Circular No. 2015-003: Implementation of Online

Processing of CNC applications for Category D Projects under the PEISS

o) EMB Memorandum Circular No. 2015–008: Implementation of Online

Processing of ECC Applications for Category B Projects requiring IEE Checklist

Report Forms under the PEISS

p) EMB Memorandum Circular No. 2015-009: Processing and Issuance of ECC

for Category B Projects

q) EMB Memorandum Circular No. 2016-001: Requiring Online Submission of

CMR under PEISS

r) EMB Memorandum Circular No. 2016-006: ECC Applicants for Mining

Projects including Sand and Gravel Quarry projects

s) EMB Memorandum Circular No. 2018-002: Adjustment of Documentary

Stamp Fee for CNC and ECC Online applications

t) EMB Memorandum Circular No. 2018-004: Amending Section 1 of

Memorandum Circular No. 2016-001 Requiring Online Submission of


Compliance Monitoring Report under the Philippine Environmental Impact

Statement to include non-Environmentally Critical Projects (non ECPs)

u) DENR AO 2017-14: Online Transmission of Data from Continuous Emission

Monitoring System (CEMS) and Closed Circuit Television (CCTV) of Major

Industries;

v) DENR AO 2017-15: Guidelines on Public Participation under the Philippine

Environmental Impact Statement (EIS) System;

w) EMB Memorandum on NIPAS Act of 1992 (RA 11038) dated August 9, 2018

x) DENR AO 2018-14: Guidelines on the Issuance of Area Clearance for

Reclamation Projects and Proclamation/ Special Patents over Reclaimed Lands

y) DENR AO 2018-18: Establishing a Centralized Management and Coordinative

Mechanism at the Regional Offices of DENR, MGB and EMB and Designating

the DENR Regional Executive Director Providing Overall Command of Regional

Operations;

z) EMB Memorandum Circular 2019-003: Updated Guidelines in the processing

and issuance of ECC for Category B Projects

Identification and mitigation of any adverse or significant environmental impacts of

proposed and existing projects/undertakings are determined through the conduct of various

EIA studies in order to formulate sound Environmental Management and Monitoring Plans

which are required in the EIA Application Process, which will be validated throughout

project implementation by EMB Region 1. Participation and coordination with the various

stakeholders in the region including the local government units (LGUs), national government

agencies (NGA)s, academe, non-governmental organizations (NGOs), religious groups,

cultural groups, and other relevant stakeholders of the projects within the region are being

maintained and strengthened to achieve a common goal: “to ensure a rational balance

between environmental protection and socio-economic development.”

I. Issuance of Environmental Compliance Certificate (ECC) and Certificate of

Non-Coverage (CNC)

Pursuant to the EMB Memorandum Circular No. 005, series of 2014 of the “Revised

Guidelines for Coverage Screening and Standardized Requirements under the Philippine

Environmental Impact Statement System (PEISS),” issued on July 7, 2014, amending

relevant portions of MC 2007-002, projects or undertakings are classified into four (4)

categories namely:

Category A (Environmentally Critical Projects or ECPs);

Category B (Non-ECPs in Environmentally Critical Area);

Category C (enhancement projects); and

Category D (not covered projects).

Moreover, the screening and standardization of requirements covering the additional

activities or undertakings as deemed relevant based on the EMB’s experience include the

various types of EIA Report to be required for every project category as well as the

processing and deciding authority based on the category, type and status of implementation of

the project. EMB Memorandum Circular No. 009, series of 2015 (dated August 4, 2015)

mandated that ECC applications for new and single projects under Category B requiring an

Initial Environmental Examination (IEE) Checklist shall be processed and issued online,


while all other proposed projects requiring an EIS and IEE for multiple projects and projects

with modification shall be filed and processed manually. Likewise, processing and issuance

of CNCs under Category D projects are implemented through an online system following the

EMB MC No. 003, series of 2015 issued on January 20, 2015. The EMB Online System is

part of the Bureau’s compliance with the Republic Act No. 9485 otherwise known as the

Anti-Red Tape Act of 2007 on the “No Contact Policy” of the government. Processing

timeframe for ECC and CNC are still twenty (20) working days and seven (7) working days,

respectively, as prescribed in EMB MC No. 14, series of 2010.

Due to the directive of the present administration to expedite processing of permits

and clearances for purposes of eliminating graft and corruption, the Republic Act No. 11032

otherwise known as “An Act Promoting Ease of Doing Business and Efficient Delivery of

Government Services amendment for the purpose Republic Act No. 9485 otherwise known as

the Anti-Red Tape Act of 2007, and for other Purposes,” the Bureau had issued the updated

guidelines in the processing and issuance of ECC for All Category B projects under the EMB

Memorandum Circular No. 003, series of 2019 dated March 26, 2019. In compliance with the

RA 11032 vis-à-vis continuing effort of the Bureau in improving the EIS system, ALL

applications for ECC for Category B projects shall now be processed and issued through the

EMB Online System. Further, the application requirements for online processing shall

include the revised Initial Environmental Examination (IEE) Checklist, and the following

documentary requirements:

a) Geotagged photographs of project site (taken for last 30 days);

b) Topographic Map of impact/affected areas (at least 1km from the project

boundaries) Certification from LGU on the compatibility of proposed project with

existing land use plan (e.g. Certificate of Viability or Zoning

Certification/Clearance);

c) Site Development and/or Vicinity map signed by registered professionals

d) Project/Plant layout signed by registered professionals; and

e) Proof of authority over the project site (land title, lease contract, deed of absolute

sale, etc.)

Section 5 of the same MC states “All ECC applications for Category B projects shall

be processed and approved, if complete within seven (7) days from receipt online in

accordance with Section 2 of the same Memorandum Circular. Otherwise, they shall be

automatically approved and shall, as a consequence thereof, be issued the corresponding

ECC. Furthermore, projects under Category B-Environmental Impact Statement (EIS)-

threshold shall be reviewed by the EMB Regional Office without the assistance of Third

party reviewer, hence review fund shall no longer be imposed.

However, recent Memorandum from the EMB Director dated November 14, 2019

with the subject: “Harmonization on the Implementation of EMB MC No. 2019-003,”

wherein MC 2019-003 is “held in abeyance pending revision of the EMB Citizen’s Charter,

pursuant to RA No. 11032.” Thus, processing of ECC applications for Category B-EIS-

threshold projects are reverted to manual submission of EIA Report and documentary

requirements prescribed in the previous guidelines under EMB 2014-005 and shall be

subjected to undergo the three-level scoping activities and substantive review by external EIA

reviewers in accordance with the approved Work and Financial Plan (WFP) following the

guidelines on review fund under DENR Administrative Order No. 2003-30 (Revised

Procedural Manual for PD 1586). Likewise, processing of minor amendment applications for


ECC shall be reverted to manual processing; while major amendment ECC applications shall

be processed though the EMB online system.

Figure 1. Summary Flowchart of the EIA Process (DAO 2003-30)

A detailed procedural flow of the PEISS-based projects is described in the Revised

Procedural Manual of DAO 2003-30. The overview of the EIA application process is as

follows:

1) Scoping – this first step will mandate the proponent to submit requirements for

application outside the EIA process. The scope includes:

a) Social Preparation or Information, Education, and Communication (IEC) of

various stakeholders - The information will be used as basis for identification

of stakeholders and issues in preparation for Public Scoping.

b) Request for Scoping with Environmental Management Bureau (EMB)- The

proponent will submit a list of requirements per DAO 2017-15 which are; 1)

Request for public scoping to the EMB RO within three (3) months from the

conduct of social preparation; 2) Proof of conduct of IEC 3) Initial Perception

Survey Results; 5) Project Description Report for Scoping; 6) Proposed list of

invitees for the public scoping; 7) Draft invitation letter (to be signed by


EMB) and IEC materials in preparation of the scoping; and 8) Draft

presentation of the project during the public scoping.

c) Review Team Formation, Scheduling of Three-Level Scoping Activity. EMB

will form the prospective Review Team (RT) within five (5) working days

from receiving the request.

d) Conduct of Three-Level Scoping Activity: 1) Project Briefing, proponent

presents a project overview with the RT. 2) Public Scoping, community

sectors will raise their issues with project stakeholders. 3) Technical Scoping

with RT/EIA Preparer/s and the Proponent have already reviewed, finalized

and signed the project overview. 4) Final Approval of Scoping Checklist,

EMB CPD Chief & EIA Section Chief reviews and approves the EIA SPSC.

2) EIA Study and Report Preparation – this second step requires public involvement.

DENR-EMB personnel may clarify procedural and technical matters on the EIA

process but is not allowed to take part in the preparation of the report. Preparation

of forms (outline of EIA Reports for PEIS, EIS, PEPRMP and EPRMP) for: a)

Impacts Management Plan (IMP), b) Social Development Plan (SDP) Framework,

c) Information, Education and Communication (IEC) d) Framework and

Environmental Monitoring Plan (EMoP) are included.

3) EIA Report Review and Evaluation – another proponent driven step.

a) Procedural Screening of EIA Report. Proponent will submit a copy of EIA

Report (filled-out Procedural Screening portion of the SPSC) within three (3)

days from receiving.

b) Payment of filing fee/ Set up Review Fund. Proponent with the DENR-EMB

Fund Manager enters into a MOA for the estimated Review Fund.

c) Submission of Procedurally-accepted Application Documents: 1)

Programmatic EIS - 10 Hard copies + 1 CD, 2) EIS - 7Hard copies + 1 CD, 3)

Programmatic EPRMP - 5Hard copies+ 1 CD, and 4) EPRMP - 5Hard copies

+ 1 CD

4) Substantive Review – DENR-EMB driven or controlled process

a) Reconvening of Review Team (RT) and Distribution of EIA Report copies to

RT members. EMB convenes the EIA Review Committee and Resource

Person through a formal invitation/contract. EIARC individually reviews EIA

Report and fills up the Pro-forma Additional Information (AI) Request (Annex

2-24) for submission before or during the 1st RT Meeting.

b) Review Proper by Review Team (EMB CH, EIARC, RP). Review Proper

duration is inclusive of a maximum of two (2) Additional Information (AIs)

(except for EMB RO AIs, responses for which are outside the EMB review

timeline).

c) 1st Review Team Meeting. EIARC members submit their AI Forms for internal

discussion among EIARC members, then with the Proponent and subsequent

consolidation by the EIARC Chair for submission to the EMB within 5 days

from the meeting day. EMB or EIARC members will be responsible for the

selection of EIARC Chair.


d) Site Visit (SV), Public Consultation (PC) or Public Hearing (PH). 1) PEIS – a

must for SV and PH, 2) EIS – a must for SV, PH, and PC (if public hearing is

waved), 3) PEPRMP – an option for SV. 4) EPRMP – an option for SV.

e) 2nd/ 3rd Review Team (RT) Meeting. Number of workdays for submission of

response by proponent for every AI has a minimum of seven (7) days for

EPRMP and a maximum of twenty (20) days for PEIS.

f) Submission of EIARC Report by EIARC Chair. EIARC Chair at the latest shall

submit the EIARC Report within five (5) days from the last EIARC meeting.

g) Submission of Review Process Report (RPR)/ Recommendation by EMB Case

Handler. The RPR and its approval as well as clearance on Decision

Document for release to Endorsing Authority are included in the Review

Proper duration.

5) Endorsement of Recommendation. Endorsing Authority is either the EMB Chief

or EMB Director and the estimated workdays in endorsing the recommendation

will have a minimum of five (5) days for EPRMP and a maximum of thirty (30)

days for PEIS/PEPRMP/EIS.

6) Sign-off/ Issuance of Decision Document. Proponent will sign the Sworn

Statement of Full Responsibility on ECC Conditions prior to the official release of

the ECC.

7) Transmittal of ECC to Concerned GAs/LGUs. Using Annex 2-30b, the EMB will

transmit the ECC to incorporate recommendations into the decision-making

process.

The documented procedures for the manual and online processing of applications for

ECCs and CNCs are being followed by this regional office in accordance with the latest

guidelines set under the above-cited DAOs, and memoranda. (Refer to Annex G for the

Citizen’s Charter for processing of ECC, CNC and other certifications under PD 1586)


Table 193. Summary of ECCs Issued in Every Province per Specific Type of Project

Project Types/ Province PANGASINAN LA UNION ILOCOS

SUR

ILOCOS

NORTE

A Agriculture, Food and

Related Industries 13

Rice mill 5

2 1

Dressing Plant 1

Feed mill

1

Ice plant 1

Agricultural/Food

Warehouse 1

Agricultural/Food

Manufacturing 1

B Building, Housing,

Storage Facilities and

Other Structures

27

Commercial 1

Condominium 2

1

Hospital 1 2 2

Laboratory (with PCL) 1

Memorial Park 2

Subdivision 8 1

Warehouse 1

1

Hotel

1

Mall

1

Office

2

C Fishery Projects 4

4

D Forestry Projects

1

Wildlife Farming - Aviary

1

E Infrastructure Projects

67

Road 16 9 8 12

Bridge 2 1 4

Water Supply System 2 3 5 5

F Livestock Animal

Industries 38

Piggery 10

3 2

Poultry 17

3 2

Other Livestock Animals

(e.g. goats, cattle) 1

G Other pipelines/cables

1

1

H Other

processing/manufacturing

industries

2

Rubber 1

Beverage Manufacturing 1

I Petroleum Industries

109

Gasoline Refilling Station 51 13 18 25


LPG Refilling Facilities 2

J Power Plants

4

Renewable Energy - Wind

Power 1

Renewable Energy -

Battery Storage Facility 1

Waste-to-Energy - Biogas 1

Waste-to-Energy - Power 1

K Resource Extractive

Industries 118

Sand and Gravel Quarry 23 29 15 34

Shale Quarry

3

Siliceous Materials Quarry 3

Non-Metallic Materials

Quarry 1

Mineral Processing

Facilities 2

Batching, Crushing, SAG

washing, etc. 6 1 1

L Resort and Other

Tourism/Leisure Projects 35

Resort 13 5 7 5

Hotel

1

Condominium

2

Villas/Restaurant

2

M Other Transport

Facilities 1

Seaport

1

N Waste Management

Facilities 13

Sanitary Landfill 4 4 2 3

TOTAL 186 78 76 93 433

For the CY 2019, there were a total of Four Hundred Thirty Three (433) projects

that have been issued with ECCs, which were processed online within 76% compliance with

the prescribed timeframe of twenty (20) / seven (7) days accordingly. Based on records,

most of the issued ECCs are located/to be developed within the Province of Pangasinan

which are about 43% (186 ECCs) of the total number of approved ECCs in CY 2019. Ninety

three (93) ECCs (21.5%) were issued covering various projects/undertakings within the

Province of Ilocos Norte; while seventy eight (78) (18%) and seventy six (76) ECCs (17.6%)

were issued by this Office that are to be located/established within the provinces of La Union

and Ilocos Sur, respectively.

As summarized in Table 1 below, it was revealed that the top three (3) project types

with the highest number of issued ECCs were 1) Resource Extractive Industries - Sand and

Gravel Quarry Projects with One Hundred Eighteen (118) ECCs, Petroleum Industries –

Gasoline Refilling Stations with One Hundred Nine (109) ECCs, and Infrastructure Projects

with Sixty Seven (67) ECCs.


On the other hand, the issued ECCs covering projects/undertakings within the

threshold capacity of Category B-EIS, were processed by this Office by conducting scoping

activities, and substantive review by external EIA Review Committee following the

guidelines under DAO 2003-30: Revised Procedural Manual for PD 1586 and DAO 2017-15

on Public Participation, prior effectivity of the new guidelines set under the EMB MC 2019-

003 for the processing of all Category B Projects. Relative to this, there were three (3) ECCs

issued manually, to wit:

Table 194. ECCs Issued for Category B-EIS Projects

Proponent Name Project Title Project Location ECC Ref. No. Date

Issued

Primewater

Infrastructure Corp.

Water

Treatment

Facility

Guelew, San

Carlos City,

Pangasinan

ECC-R01-1901-

0001 9/1/2019

Local Government

Unit of Suyo, Ilocos

Sur

Suyo

Economic

Zone

Mt. Tapao

Poblacion, Suyo,

Ilocos Sur

ECC-R01-1901-

0002 8/1/2019

Republic Gas

Corporation

LPG

Refilling

Facility

Catablan,

Urdaneta City,

Pangasinan

ECC-R01-1901-

0003 9/1/2019

For the issuance of CNCs, the total number of issued certificates for Category D: Not

Covered projects were One Thousand Seven Hundred Twenty Five (1,725), which were

processed online; while Two Hundred Ninety Eight (298) CNCs were issued for Category

C: Environmental Enhancement and Mitigation Projects that were processed manually. Based

on records, most of the issued CNCs under Category C: Environmental Enhancement and

Mitigation Projects are located within the Province of Pangasinan which are about 66.1%

(197 CNCs) of the total number of manually approved CNCs in CY 2019. Fifty One (51)

CNCs (17.1%) were issued covering various projects/undertakings within the Province of

Ilocos Sur; while Forty Five (45) (15.1%) and Five (5) CNCs (1.7%) were issued by this

Office that are located within the provinces of La Union and Ilocos Norte, respectively.

II. Public/Technical Scoping Activities and EIA Review Committee Meetings For

Category A: ECP under EMB Central Office

In compliance with the guidelines set under DAO 2017-15, public scoping activities

for Category A: ECP shall be facilitated by EMB Regional Office with jurisdiction over the

proposed project location. Further, the concerned EMB Regional Office shall participate as

Resource Person in the conduct of EIA Review Process for all Category A: ECP within their

respective regions, which are being facilitated by EIA Management Division (EIAMD) at the

Central Office.

For CY 2019, the following projects/establishment with threshold capacity under

Category A: ECP which are located/to be located within Region 1, have undergone the

scoping activities, substantive review by EIA Review Committee, and/or public hearing/site

visits:


Table 195. List of Category A: ECP located/to be located within Region 1 that are under EIA Application

/ Review Process of EIAMD, EMB-Central Office

Proponent Name Project Title Project

Location Status

ECC Ref. No. /

Date of Issuance

Isla Verde Mining

and Development

Corp.

Expansion of

Mineral

Processing

Facility

Brgy. Puro

Caoayan,

Ilocos Sur

EIARC Meeting:

May 9, 2019

ECC-CO-1907-0016;

Oct. 4, 2019

National Irrigation

Administration

(NIA)

Proposed

Dumoloc Small

Reservoir

Irrigation Project

Bugallon,

Pangasinan

Public Scoping:

May 22, 2019

Technical

Scoping:

June 19, 2019

-

KEPCO

Philippines

Corporation

2x500MW

Pangasinan Coal

Power Plant

Sual,

Pangasinan

Public Scoping:

Jan. 29, 2019;

Technical

Scoping: Feb. 28,

2019

-

Northern Cement

Corporation

(NCC)

Proposed

Expansion

Labayug,

Sison,

Pangasinan

Public Scoping:

EIARC Meeting:

Sep. 20, 2019;

Public Hearing:

Oct. 17-18, 2019;

-

San Miguel

Northern Cement

Inc.

New Cement

Plant

Labayug,

Sison,

Pangasinan

Public Scoping:

EIARC Meeting:

Sep. 20, 2019;

Public Hearing:

Oct. 17-18, 2019;

-

III. Survey of Projects/establishments implemented without ECC

Surveying of existing and/or operating projects without an ECC were done in

compliance with the requirements of PD 1586 under Section 4 that states:

“No person, partnership or corporation shall undertake or operate any such declared

environmentally critical project or area without first securing an Environmental

Compliance Certificate issued by the President or his duly authorized representative.”

Based on the survey reports consolidated by this Section, there were a total of Eighty

Six (86) projects/establishments found operating or implemented without an approved

ECC. (Refer to Annex D)

Consequently, this Office have issued Notices of Violation (NOVs) to the

respondents, wherein they were directed the same to submit a written explanation as to

why they should not held liable for any violation under PD 1586, and attend a Technical

Conference at EMB Regional Office or at concerned Provincial Environmental

Management Unit (PEMU) at DENR-Provincial Environmental and Natural Resources

(PENR) Offices. Moreover, NOVs were also issued to proponents whose projects were

already implemented prior to filing of ECC application. (Refer to Annexes E and F)


IV. Status of Penalties / Fines Imposition

Resolution of cases under PD 1586 undergoes the due process; and subsequently, the

final decision of this Office regarding such resolutions is issued through Orders.

Reduction of penalties was enforced based on Section 2.5 of the Revised Procedural

Manual of DAO 2003-30. For CY 2019, there were Two Hundred Fifty Seven (257)

issued resolution Orders as recorded by this Office’s Legal Unit.

Based on the records of EMB-1 Cashier, this Office has collected penalties amounting

to about Two Million Seven Hundred Four Thousand Five Hundred Pesos

(₱2,704,500.00) derived from project proponents cited for violations against Section 4 of

PD 1586 (for implementing a project without an ECC), or for non-compliance with ECC

conditions and/or provisions of PD 1586, violating Section 9 of the same Decree. #


HAZARDOUS WASTE MANAGEMENT

EXECUTIVE SUMMARY

Pursuant to the DENR Policy as stipulated in the Republic Act No. 6969, otherwise known as

Toxic Chemicals and Hazardous Waste Control Act of 1990, the Hazardous Waste and Chemical

Management Section (HWCMS) under the Environmental Monitoring and Enforcement Division,

Environmental Management Bureau Region 1 is mandated to monitor and regulate the importation,

manufacture, processing, handling, storage, transportation, sale, distribution, use, and disposal of

chemical substances and mixtures that present unreasonable risk and/or injury to health or the

environment; to prohibit the entry, even in transit, of hazardous and nuclear wastes and their disposal in

the Philippine territorial limits for whatever purpose.

The management of hazardous waste is essentially undertaken by the Chemical and Hazardous

Waste Management Sections of the Clearances and Permitting Division (CPD) and the Environmental

Monitoring and Enforcement Division (EMED). The sections have the primary responsibility of

conducting surveys of firms and health care facilities generating hazardous wastes, issuance of

Hazardous Waste Generators ID, issuance of Permit to Transport (PTT) hazardous wastes, monitoring of

the registered generators on their implementation of hazardous waste management, monitoring registered

transporters and Treatment Storage and Disposal (TSD) facilities. Reports prepared and submitted

include Survey Reports of hazardous waste generators, review of on-line applications and issuance of

hazardous waste registration certificates, monitoring reports of registered HWG, transporters, and TSD

facilities, after which the issuance of Notice of Technical Conference/Notice of Violation, if necessary.

For 2019, EMB Region 1 has accomplished its given targets with very satisfactory ratings. The

Clearances and Permitting Section accomplished the following: ONE HUNDRED EIGHT (108) firms

surveyed against the target of FIFTY (50) firms translating to a 216% accomplishment, THREE

HUNDRED FIFTY THREE (353) applicants were registered manually as hazardous waste generators

against the FIFTY SEVEN (57) firms targeted or a rating of 619%, SIXTY NINE (69) Transport Permits

issued against the target TWENTY TWO (22) permits for issuance registering a 314% accomplishment.

It has evaluated FOUR (4) applications for TSD Facility Registration Certificate and TWO (2)

applications for Hazardous Waste Transporters against THREE (3) and ONE (1) firm targeted for 2019

translating to 133% and 200% accomplishment, respectively.

For the Environmental Monitoring and Enforcement Division activities, a total of THREE

HUNDRED NINE (309) firms comprising of NINETY SIX (96) health care facilities and TWO

HUNDRED THIRTEEN (213) industrial and commercial establishments were monitored against the

total target of TWO HUNDRED THIRTY (230) firms, registering 134% rating. It has monitored THREE

(3) TSD Facilities and TWO (2) Hazardous Waste Transporters against TWO (2) and ONE (1) firms

targeted for 2019 translating to 150% and 200% accomplishment, respectively.


PHYSICAL ACCOMPLISHMENTS CY 2019

Activity Target Total Accomp %

A.03.b4.b Hazardous Waste Management

CLEARANCE & PERMITTING DIVISION

Registration of Hazardous Waste Generators (HWG) 57 126 619%

Firms and Commercial Establishments 47 311 662%

Healthcare Facilities 10 42 420%

Issuance of Transport permits 22 69 314%

Evaluation, screening and recommendations of

applications for TSD Facility registration 3 4 133%

Evaluation, screening and recommendations of

applications for HW Transporter registration 1 2 200%

Survey of potential hazardous wastes generators and

importers of recyclable materials 50 108 216%

MONITORING & ENFORCEMENT DIVISION

Compliance monitoring of HWGs, Transporters,

Importers, and TSD facilities 230 309 134%

Firms and Commercial Establishments 160 213 133%

Healthcare Facilities 70 96 137%

TSD Facility 2 3 150%

HW Transporters 1 2 200%

Updating of HW Database 1 1 100%

Preparation of Annual Regional Hazardous Waste Status

Report 1 1 100%


DATA ANALYSIS

HWG ID Registration Certificates Application

A total of one thousand five hundred eighty-three (1,583) establishments are currently registered as

Hazardous Waste Generators (HWG) in Region 1. 806 have updated HWG IDs, which translates to 51%.

353 applications were evaluated and approved in 2019 (Table 1). Out of the 353 approved certificates, 27

are re-registrations, 23 are amendment, and 303 are new. By province, 201 firms located in Pangasinan

registered, 64 in La Union, 63 in Ilocos Sur, and 25 in Ilocos Norte. Thirty-one (31) applications were

returned to applicants due to incomplete or insufficient documentary requirements during the year and 12

of them were issued HWG IDs upon completion of additional information.

HWG Survey

One hundred eight (108) establishments were surveyed this year (Table 2). Out of the 99 surveyed firms,

21 registered within the year and five (5) with pending application. Sectors surveyed include

QSR/Restaurants, Commercial Buildings, Hotel/Resort, Gas/Service Stations, Livestock (Farms),

Educational institution, healthcare facilities, laboratory, quarry, banking, retail, manufacturing, and bus

terminals.

Permit to Transport (PTT) Application

A total of sixty-nine (69) PTTs were issued to Servo-Treat Phils., Inc., to provide transport and treatment

services to healthcare facilities and industrial firms located in Regions I, III, IV-A, IV-B, NCR, and CAR

(Table 3): 25 PTTs comprising of 17 firms located in R1, 7 PTTs for 4 firms located in CAR, 9 PTTs for

3 firms located in NCR, 4 PTTs for 3 firms located in R3, 21 PTTs for 6 firms located in RIV-A, and 3

PTTs for 3 firms located in RIV-B. Types of wastes transported and treated include B202, C305, D406,

D407, D499, F602, F699, H802, I101, I102, I104, J201, M501, and M503.

Monitoring of Hazardous Waste Generator

A total of ninety-six (96) healthcare facilities (Table 4) and 203 firms (Table 3b) were monitored by

technical personnel. Of the 84 healthcare facilities monitored, 39 are in Pangasinan, 11 in La Union, 16

in Ilocos Sur, and 18 in Ilocos Norte. Three (3) facility were declared CLOSED (in red). On the other

hand, out of the 165 firms monitored, 80 are in Pangasinan, 36 in La Union, 12 in Ilocos Sur, and 37 in

Ilocos Norte. Two (2) Firms are declared CLOSED (in red).

201

64 63

25

0

50

100

150

200

250

Pangasinan La Union Ilocos Sur Ilocos Norte

No. of Registrations per Province

303

23 27

0

100

200

300

400

New Amendment Re-Registration

Types of Registrations


HW Generated (Based on the Quarterly SMRs submitted by HWG)

The largest HW class generated in Region 1 is M501 - Infectious or Pathological Wastes totaling to

1,648.7 MT. This is followed by I102 - Used or Waste Oil (Vegetable) totaling to 1,549.2 MT. Both

increased in quantity from last year probably due to close monitoring of Self-Monitoring Reports and

compliance with submission of SMRs by the firms issued with notices citing non-submission. Other

wastes reportedly generated in the region are: A101, B202, B299, C301, D402, D404, D405, D406,

D407, D499, E502, F601, F604, F699, G703, G704, H802, I101, I104, J201, K301, K303, L404, M503,

M504, and M505, M506. (HW Fact Sheet)

HW Transported and Treated by the TSD Facilities in Region 1

Servo-Treat Philippines, Inc. (STPI) is the only commercial TSD Facility in Region 1. The remaining

TSD Facility registered in Region 1 is Holcim Phils., Inc. but did not conduct treatment of hazardous

wastes within the validity of its permit.

Ilocos Training and Regional Medical Center is a Category A TSD Facility which treat onsite generated

M501 at a minimum capacity of 120 kg/day. Treated wastes are transported by Envirocare Management

Precision, Inc. to a Category C TSD Facility, Metro Clark Waste Management, Inc. The hospital has

contracts with Servo Treat Phils., Inc. for the treatment of medical wastes that their own autoclave can’t

accommodate.

STPI treated a total of 1,390.28 MT of M501, 2,498.84 MT of D499, along with other wastes such as

B299, C305, D406, D407, F602, F699, G704, H802, I101, I102, I104, J201, M503, and M506. Only ten

(10) healthcare facilities availed the services of STPI. Most of the healthcare wastes treated by STPI

came from Regions 3, CAR, and 4A.

HW Transported and Treated by other HW Transporter/TSD Facilities (Based on the Manifest Forms

submitted by HWGs)

Aside from Servo Treat Phils., Inc., healthcare facilities availed the services of Cleanway Environmental

Management Solutions, Inc. and Safewaste, Inc., both DENR-registered transporters and treaters. Other

service providers that entered Region 1 are Unified Hazwaste Expert, Inc. as transporter partnered with

Total Organic Environmental Solutions, Inc. as treater, and Envirocare Management Precision, Inc.

partnered with Eco Safe Hazmat treatment, Inc.. The total M501 quantity transported and treated by

these HW Transporters and TSD facilities is 219.94 MT.

A total of one hundred eighty-three (183) industrial firms and healthcare facilities in Region 1 availed the

services of transporters/treaters outside of the Region, mostly located in Region 3, for the treatment and

disposal of their HWs. HW types being transported and treated are B299, C305, D405, D406, D407,

D499, F602, F603, F699, G704, H802, I101, I102, I104, J201, L404, M501, M502, M503, M504, M506


ISSUES AND CONCERNS

• Since the suspension of Online Hazardous Waste Management System, all application reverted to

manual process. In effect, processing of application of HWG ID received online were delayed as the

documentary requirements increased, as well as, HWGs were not able to check their emails for

deficiencies, if any.

• The monitoring of the manifest system implementation is still not as efficient as it should be. Some

industries still do not secure manifest forms from this Office. TSD Facilities from other regions also

fail to submit manifest forms within 7 days (due to a “and/or” clause in the Permit to Transport

template making it more difficult to track the completion of the hauling and transport activities.

• Monitoring of the hazardous wastes generated thru the Self-Monitoring Report submitted by the

HWGs is still insufficient. Evaluated SMRs include improbable quantities of hazwaste generated.

• HWGs that generate small quantities are requesting to be exempted from compliance with RA 6969.

However, there is no minimum quantity stated in the policy that may allow exemption.

REMARKS AND RECOMMENDATIONS

1. To continue the stringent evaluation of SMRs, as well as Manifest Forms, to be able to collect a

more accurate data for Hazardous Wastes Generated, Transported, and Treated.

2. To increase manpower in the HWCMS, both in the EMED and CPD, to provide technical assistance

to the increasing number of HWGs applying for registration and to assist in the evaluation and

approval of registration, as well as expand the area surveyed and monitored by technical personnel.

3. To determine the universe of hazardous waste generators in the region


OTHER ACTIVITIES

1. Attendance to Hazardous Management Trainings

April 01-04, 2019 Ace Hotel & Suites, Pasig City “1st Capacity Building on Hazardous Waste Management: Chemical Emergency, Contaminated Site Management and Leveling of the Requirement of Permit to Operate for TSD Registration” Participants:

Nestor C. Bambalan Jr.

Judy Ann S. Abella

September 16-20, 2019 Dakak Park and Beach Resort, Dapitan City, Zamboanga del Norte “2nd Capacity Building on Hazardous Waste Management: Hazardous Materials – First Responders Awareness Level Training” Management”

Participants:

Ezekiel B. Salinas

Mercedes J. Acosta

November 26-29, 2019

Park Inn by Radisson, Quezon City

System Requirements Validation of

Online Hazardous Waste Manifest

Tracking System

Participants:

Ezekiel B. Salinas

Kimberly Abila

2. Hazardous Waste Management Orientation to different organizations/sectors

La Marea Academy, 18 January 2019 Universal Advance Medical Diagnostics Laboratory, 20 February 2019 Balaoan District Hospital, 21 February 2019 LGUs in Ilocos Norte with staff from Ecological Solid Waste Management Section,

05 March 2020 LGUs in Ilocos Sur with staff from Ecological Solid Waste Management Section, 06

March 2020 LGUs in Pangasinan with staff from Ecological Solid Waste Management Section,

08 March 2020 LGUs in La Union with staff from Ecological Solid Waste Management Section, 13

March 2020


Provincial Government of Pangasinan, 28 May 2019 MRFC Summit, 12 July 2019 BFAR Regional Office 1, 20 August 2019

3. In-house HWM Training for new personnel

January 23-24, 2019 July 09, 2019


PHOTO DOCUMENTATION

1. HW Transporters

Servo Treat Phils., Inc.


JMB Trading

2. TSD Facilities

Servo Treat Phils., Inc.


Holcim Phils., Inc.


3. Health Care Facilities

Ilocos Prime Lab, Laoag City Ilocos Norte Avitus Dialysis Center, Binalonan,

Pangasinan

Nazareth General Hospital, Dagupan City Cipriana Coquia Dialysis Center,

Dagupan City


The Medical City Pangasinan, Dagupan

City

St. Camillus Maternity Clinic, Manaoag,

Pangasinan

Dagupan Doctors Villaflor Memorial

Hospital, Dagupan City

Candon St. Martin de Porres Hospital,

Candon City, Ilocos Sur


4. Firms

San Roque Power Corp., San Manuel,

Pangasinan

Coca Cola Bottlers Phils., Inc., Calasiao,

Pangasinan

Universal Leaf Phils., Inc., Agoo, La

Union


Petron Corp. – Poro Depot, San Fernando

City, La Union

Wallace Fuel Storage, Inc., San Fernando

City, La Union


TOXIC SUBSTANCES MANAGEMENT

EXECUTIVE SUMMARY

The implementation of Republic Act 6969, also known as the “Toxic Substances and

Hazardous and Nuclear Wastes Control Act of 1990”, has been a quite challenge for the last

three successive decades. Being a comprehensive national policy, the Act requires all

manufacturers and importers of chemical substances, and as well, all generators of hazardous

waste to comply with the regulations and mitigation measures enforced by the Department of

Environment and Natural Resources - Environmental Management Bureau (DENR -EMB). The

Act specifically aims to achieve the following objectives:

a) Keep an inventory of chemicals that are presently being imported, manufactured,

or used, indicating, among others, their existing and possible uses, test data,

names of firms manufacturing or using them, and such other information as may

be considered relevant to the protection of health and the environment;

b) Monitor and regulate the importation, manufacture, processing, handling, storage,

transportation, sale, distribution, use and disposal of chemical substances and

mixtures that present unreasonable risk or injury to health or to the environment

in accordance with national policies and international commitments;

c) Inform and educate the populace regarding the hazards and risks attendant to the

manufacture, handling, storage, transportation, processing, distribution, use and

disposal of toxic chemicals and other substances and mixture; and

d) Prevent the entry, even in transit, as well as the keeping or storage and disposal

of hazardous and nuclear wastes into the country for whatever purpose.

Given that toxic and hazardous substances have been widely used in several industries

and firms, the Republic Act 6969 discusses two aspects of the mandate that include the Toxic

Chemical Substances (Title II) and Hazardous and Nuclear Wastes (Title III), where both have a

separate technical scope and legal purview.

The Environmental Management Bureau Region 1 (EMB-R1) has been consistently

implementing the requirements of the Toxic Chemical Substances (Title II) among its regulated

firms and establishments. Two office divisions, the Enforcement and Monitoring Division

(EMED) and the Clearance and Permitting Division (CPD) serve as the implementing body of

the region for effective enforcement of the technical requirements of the Act. Requirements

cover the implementation of the Philippine Inventory of Chemical and Chemical Substances

(PICCS), Priority Chemical List (PCL), and the Chemical Control Orders (CCOs) for Mercury

(DAO 38-1997), Asbestos (DAO 2000-02), Ozone-depleting Substances (DAO 18-2000),

Polychlorinated Biphenyls (DAO 2004-02), Cyanide (DAO 1997-39), and Lead (DAO 2013-

24).

For the C.Y. 2019, the EMB Region 1 has achieved an overall “Very Satisfactory” rating

in accomplishing its annual target on regulation of toxic substances and chemical management.

To enumerate with, the Clearance and Permitting Division has registered 11 industries under the

Chemical Control Order (1,100%), four chemical importers/manufacturers (100%) were

surveyed, three PCB-owners (150%) were notified for registration, and fifteen PCB

management plans (750%) were approved. On the other hand, the Environmental Monitoring

and Enforcement Division (EMED) has monitored 13 CCO-registered industries (130%), 41

firms were inspected regarding their PCB management plan implementation (128%), one


validated firm for PCB phase-out (100%), and one accomplished Annual Toxic Chemicals

Regional Status Report (100%).

PHYSICAL ACCOMPLISHMENTS CY 2019

Activity Target Total Accomp %

A.03.b4.a Toxic Substances Management

CLEARANCE & PERMITTING DIVISION

Registration of Industries under Chemical Control Order

(CCO) – Asbestos, Lead, PCB 1 11 1100%

Clearance for ODS Chemical Dealers 2 0 0%

Survey of importers, manufacturers (firms),

distributors/dealers, users 4 4 100%

Survey of PCB owners not registered 2 3 150%

Approval of PCB Management Plans 2 15 750%

MONITORING & ENFORCEMENT DIVISION

Chemical Management monitoring of Industries (CCO

Registration and Importation Clearance SQI, PCL and

new chemicals) 10 13 130%

Monitoring of approved PCB Plans 32 41 128%

Validation of Phase-out of PCB as stated in the approved

PCB Management Plans 1 1 100%

Preparation of Annual Toxic Chemicals Regional Status

Report 1 1 100%


ISSUES AND CONCERNS

The Chemical and Hazardous Waste Management personnel of the EMB Region 1 has

encountered some issues and concerns that somewhat have affected the efficient implementation

and enforcement of the RA 6969. The issues and concerns are hereby discussed as follows:

Registrants under the Chemical Control Order for PCB have no longer access to the

Online PCB Inventory System.

As one of the technical requirements of the DAO 2004-01, all PCB owners must reflect

their current and existing PCB-suspected units to the Online PCB Inventory. Likewise,

their PCB management and disposal plan must be updated by the registrants, if

necessary, to include relevant changes such as the proposed schedule of trainings and

implementation time frame of the programs. However, the suspension of the online

inventory system by the EMB Central Office has caused major drawback among the

regulated firms in presenting official PCB inventory. The attempt to restore the online

PCB inventory system shall address this dilemma.

Inaccessibility of available Transport, Storage and Disposal (TSD) services for

decommissioned PCB-contaminated units by the regulated firms.

Despite the availability of the DENR destruction facility and the government subsidy for

PCB disposal through the United Nations Industry Development Organization (UNIDO),

most of the regulated firms and establishments prefer to avail TSD services with

considerable distance near their business address. Moreover, PCB-suspected units and

equipment are being stockpiled by the firms for cluster hauling and treatment, as this is

believed to be more practical than to follow the actual PCB phase-out schedule. Perhaps

the creation of storage/holding facilities at strategic locations may cater the need of the

regulated firms for immediate hauling of their decommissioned PCB units.

CCO Survey of potential distributors/ manufacturers of ODS

The possibility to track all potential distributors/manufacturers of chemical compounds

laden with ozone-depleting substances (service centers, refrigeration repair centers, etc.)

may be hardly met, considering that personnel in the section are few and no official

listing of industries is available. The initiative to survey Highly-Urbanized Cities and

request for list from DTI and/or LGUs within the year will address this concern.


OTHER ACTIVITIES

1. Validation of Asbestos Dismantling

Bangko Sentral ng Pilipinas San Fernando, La Union Branch

2. Validation of PCB Disposal

Bangko Sentral ng Pilipinas San Fernando, La Union Branch

Before After


3. Attendance to Chemical Management Trainings

April 22-26, 2019

One Tagaytay Place Hotel Suite,

Tagaytay City, Cavite

“EMB-Regional Training-Workshop on

on the Updates of Chemical Rules &

Regulations”

Participants:

Maureen S. Malazo

Ezekiel B. Salinas September 3-6, 2019

“Train the Trainers Workshop for the

project: Implementation of PCB

Management Programs for Electric

Cooperatives and Safe E-Wastes

Management”

Participant:

Maureen S. Malazo

October 14-18

Park Inn Radison, Iloilo City

“Workshop on Chemical Rules and

Regulations under RA 6969”

Participants:

Maureen S. Malazo

Nestor C. Bambalan Jr.

December 10-13, 2019

Microtel by Wyndham UP Technohub,

Diliman, QC

“EMB-Regional Training-Workshop on

OPMS for Chemical Permits”

Participants:

Maureen S. Malazo

Judy Ann S. Abella


4. Conduct of PCB sampling and analysis on Electric Cooperatives for the project

“Implementation of PCB Management Programs for Electric Cooperatives and Safe E-

Wastes Management” on March 25-29, 2019 in Region 1 (LUELCO, CENPELCO, and

PANELCO 1)

Pangasinan 1 Electric

Cooperative Main Office, Bani,

Pangasinan

Sampling at PANELCO 1

Central Pangasinan Electric

Cooperative Main Office, San

Carlos City, Pangasinan

Sampling at CENPELCO


5. Conduct of Consultative Meeting with Electric Cooperatives for the project

“Implementation of PCB Management Programs for Electric Cooperatives and Safe E-

Wastes Management” on November 25-29, 2019 in Region 1

Consultative Meeting @ Hotel Luna, Vigan City, Ilocos Sur

ISECO

LUELCO


PANELCO III

CENPELCO

PANELCO I


6. Conduct of Seminar on PCB Management at PANELCO III, Urdaneta City, Pangasinan

on 06 December 2019


PHOTO DOCUMENTATION

Team Sual Corp., Sual, Pangasinan (Mercury)

Nessler’s Reagent used in Ammonia determination

Universal Leaf Phils., Inc., Agoo, La Union (Mercury & Cyanide)

Mercury and Cyanide used in the laboratory for the determination of chlorine and nicotine

content, respectively


NCC, Sison, Pangasinan (Asbestos)

Two (2) buildings with roofing containing asbestos

Servo Treat Phils., Inc., Urdaneta City, Pangasinan (Mercury)

Bulb Eater (Shards are contained in the drum

while the Hg vapor is in the filters)

Ginebra San Miguel, Inc., Sta. Barbara, Pangasinan (Mercury)

Laboratory (not in-use) WWTF (COD vials)


Dagupan City Water District, Dagupan City (Cyanide)

No stocks of COD vials at the time of

monitoring.


ECOLOGICAL SOLID WASTE MANAGEMENT

The Ecological Solid Waste Management Act of 2000 (RA 9003) is an Act providing for an

ecological solid waste management program, creating the necessary institutional mechanisms,

declaring certain prohibited acts.

The salient features of RA 9003 include (a) Creation of the National Solid Waste

Management Commission (NSWMC), National Ecological Center (NEC) and Local Government Unit

(LGU) Solid Waste Management Boards; (b) Creation of multi-purpose Environmental Cooperatives

or Associations in every LGU; (c) Waste segregation, waste reduction and recycling programs; (d)

Construction of Material Recovery Facilities/Systems; (e) Conversion of open dumpsites to sanitary

landfills; (f) Integration of Ecological Waste Management concepts in academic curricula for formal

and non-formal education; and (g) Administrative and enforcement procedures.

The Ecological Solid Waste Management Act of 2000 (RA 9003) provides the legal

framework for the systematic, comprehensive and ecological solid waste management program of the

Philippines, which shall ensure protection of public health and the environment. It emphasizes the

need to create the necessary institutional mechanisms and incentives, and imposes penalties for acts in

violation of any of its provisions.

The Republic Act 9003 specifically mandates all, especially the local government units, to

adopt a systematic, comprehensive and ecological solid waste management program which shall

ensure protection of public health and environment; utilize environmentally sound methods; set

targets and guidelines for solid waste avoidance and reduction; ensure proper segregation, collection,

transport and storage of solid waste; promote national research and development programs for

improved SWM; encourage greater sector participation; retain primary enforcement and responsibility

of SWM with local government units; encourage cooperation and self-regulation among waste

generators; institutionalize public participation; and strengthen the integration of ecological solid

waste management, resource conservation and recovery topics into the academic curricula.

WASTE GENERATION

Waste generation continues to rise with the increase in population, improvement of living

standards, rapid economic growth, and industrialization especially in the urban areas. From 471.3 tons

per day in 2018, the region’s waste generation increased to 501.76 tons in 2019.

114.54 tons/day. The improved submission of Self Compliance and Monitoring Report from

local government units is also a contributory factor to the Region’s increase in the recorded waste

generation.

233

Table 196. Solid Waste Generation Per District of Each Provinces in Region 1

Solid Waste Generation

Province District No. of

Barangays

No. of

LGUs

Waste Generated

(Tons/Day)

Ilocos Norte 1st 284 12 25.36

2nd 274 11 29.31

Total 558 23 54.67

Ilocos Sur 1st 296 11 52.66

2nd 472 23 61.88

Total 768 34 114.54

La Union 1st 299 9 81.52

2nd 276 11 35.73

Total 575 20 117.25

Pangasinan

1st 215 10 27.71

2nd 231 8 38.77

3rd 304 6 44.14

4th 140 5 15.15

5th 222 9 75.98

6th 264 10 13.55

Total 1376 48 215.3

Total for Region 1 3277 125 501.76

Table 196 shows the waste generation of each districts in the four Provinces of the Region.

125 LGUs with a combined total of 3277 Barangays generated 501.76 tons of wastes per day in 2019.

Although the increase in the recorded waste generation may be viewed negatively, it is important to

note that more LGUs has submitted their Self Compliance Monitoring and Assessment Report

(SCMAR) for 2019. The improvement in the submission of the said report is vital in the development

of a database and monitoring of the status of the implementation of RA 9003 in the region.

234

COMPLIANCE OF LOCAL GOVERNMENT UNITS TO RA 9003

For the Calendar Year 2019, the Ecological Solid Waste Management (ESWM) Section of the

Environmental Management Bureau (EMB) Region 1 was tasked to extend Technical Assistance to

LGUs and conduct regular monitoring for them to be able to comply with the different provisions of

the law.

10-YEAR SOLID WASTE MANAGEMENT PLAN

Section 16 of the Republic Act 9003 (Local Government Solid Waste Management

Plans) states that the province, city or municipality, through its local solid waste management

boards, shall prepare its respective 10-year solid waste management plans consistent with the

National Solid Waste Management Framework: Provided, That the waste management plan

shall be for the re – use, recycling and composting of wastes generated in their respective

jurisdictions: Provided further, That the solid waste management plan of the LGU shall

ensure the efficient management of solid waste generated within its jurisdiction.

All local government solid waste management plans shall be subjected to the

approval of the Commission. The plan shall be consistent with the national framework and in

accordance with the provisions of this Act and of the policies set by the Commission.

From Calendar Year 2014 up to Calendar Year 2017, seven (7) plans were approved

by the National Solid Waste Management Commission (NSWMC). In 2019, eighteen (18)

plans were approved by the Commission, summing up a total of thirty-eight (38) approved

city/municipal plans and two (2) provincial plan from CY 2014 to CY 2019. All 125 LGUs

and 4 Provinces has submitted their respective 10-Year Solid Waste Management Plan that is

either under evaluation or for revision if not yet approved by the NSWMC.

Table 197 shows the number of approved 10-Year Solid Waste Management Plan

(10-Year SWMP) in Region 1. All twenty (20) LGUs in the province of La Union have their

10-Year SWMP approved by the National Solid Waste Management Commission (NSWMC).

Ilocos Norte have 5 LGUs with approved Plan while Ilocos Sur have 6 LGUs with approved

Plan. The Province of Pangasinan have eight (8) approved 10-Year SWMP from five out of

its six districts. The Provinces of La Union and Pangasinan were also able to have their

Provincial 10-Year SWMP approved by the (NSWMC) in 2019. A total of 40 plans were

approved with 18 plans approved in 2019.

235

Table 197 Status of 10-Year Solid Waste Management Plan Per District of Each Provinces in

Region 1

Status of 10-Year Solid Waste Management Plan (10-Year SWMP)

Province District No. of Approved Plans

Ilocos Norte 1st 3

2nd 2

Provincial 10-Year SWMP 0

Total 5

Ilocos Sur 1st 2

2nd 4


Total 6

La Union 1st 9

2nd 11


Total 21

Pangasinan

1st 1

2nd 0

3rd 1

4th 1

5th 2

6th 2


Total 8

Total for Region 1 40

236

CLOSURE OF OPEN AND CONTROLLED DUMPSITES

RA 9003 requires LGUs to close their existing open dumpsites by year 2006 and to

establish controlled disposal facilities or SLFs. As of 2019, there are still two (2) open

dumpsites (OD); twenty-nine (29) controlled dumpsite (CD); twenty-nine (29) sanitary

landfills (SLF); sixty-four (64) closed dumpsites of which forty – one (41) are under

rehabilitation and two (2) LGUs have no dumpsite facility.

Table 198 breaks down the number and type of disposal facilities found per district in

each of the provinces within the Region. The Province of La Union has the most number of

SLFs with twelve (12) established engineered SLFs out of 20 LGUs. Ilocos Norte has a total

of seven (7) engineered SLFs out of 23 LGUs while Ilocos Sur was able to establish six (6)

SLFs out of 34 LGUs. Pangasinan has the lowest number of SLFs with 4 out of 48 LGUs. Out

of the four (4) provinces, Pangasinan is the only province with open dumpsite amounting into

two (2) open dump facility.

Table 198 Number of Disposal Facilities in each of the Provinces in the Region

Number of Disposal Facility

Province District Open

Dumpsite

Controlled

Dumpsite

Sanitary

Landfill

Closed

Dumpsite Dumpsite

Ilocos

Norte 1st 0 3 3 5 1

2nd 0 2 4 5 0

Total 0 5 7 10 1

Ilocos Sur 1st 0 6 1 4 0

2nd 0 5 5 13 0

Total 0 11 6 17 0

La Union 1st 0 1 8 0 0

2nd 0 0 4 7 0

Total 0 1 12 7 0

Pangasinan 1st 0 5 3 2 0

2nd 0 1 0 8 0

3rd 1 0 0 5 0

4th 1 4 0 0 0

5th 0 1 1 6 1

6th 0 1 0 9 0

Total 2 12 4 30 1

Total for Region 1 2 29 29 64 2

237

A total of 127 LGUs from the 4 Provinces of Region 1 were visited by the composite

monitoring team from May – October 2019. Despite best efforts however, some of the areas were

inaccessible at the time of monitoring due to inclement weather conditions or the access roads were

deemed unfit to be travelled or traversed due to existing hazards. The objective of the monitoring is to

assess the status of LGU compliance on the closure and rehabilitation of open and controlled dump

facilities in Region 1.

Establishment of Materials recovery facility (MRF)

Section 32 of the RA 9003 (Establishment of LGU Materials Recovery Facility)

states that There shall be established Materials Recovery Facility (MRF) in every barangay or

cluster of barangays. The MRF shall receive mixed waste for final sorting, segregation,

composting, and recycling. The resulting residual wastes shall be transferred to a long – term

storage or disposal facility or sanitary landfill.

Table 199 shows that as of CY 2019, thirty-eight (36) local government units (LGUs)

were provided with financial assistance for the construction and establishment of

central/municipal materials recovery facility (MRF) and purchase of bio shredder. A total of

21 Million Pesos (Php 21,000,000.00) for financial support was awarded to 36 LGUs in the

Region. Four (4) LGUs from Ilocos Norte received a total of 4.7 million pesos, seven (7)

LGUs each were awarded a total of 3 million pesos and 3.8 million pesos in Ilocos Sur and La

Union respectively. Lastly, eighteen (18) LGUs were awarded a total of 9 million pesos in

Pangasinan.

238

Table 199. Financial Assistance Downloaded to the Different Provinces in Region 1 for the

Establishment of Central MRFs and Purchase of Solid Waste Management Equipment

No. Province LGU Amount Downloaded (Php)

1 Bangui 3,200,000.00

2 Carasi 500,000.00

3 Dumalneg 500,000.00

4 Piddig 500,000.00

Total 4,700,000.00

5 San Ildefonso 500,000.00

6 Sta. Catalina 500,000.00

7 Gregorio del Pilar 500,000.00

8 San Emilio 500,000.00

9 Sigay 500,000.00

10 Sugpon 500,000.00

11 Suyo 500,000.00

Total 3,000,000.00

12 Bacnotan 500,000.00

13 Bangar 500,000.00

14 Sudipen 500,000.00

15 San Juan 800,000.00

16 Bagulin 500,000.00

17 Caba 500,000.00

18 Tubao 500,000.00

Total 3,800,000.00

19 Alaminos City 500,000.00

20 Bolinao 500,000.00

21 Mabini 500,000.00

22 Binmaley 500,000.00

23 Bugallon 500,000.00

24 Urbiztondo 500,000.00

25 Sta. Barbara 500,000.00

26 Manaoag 500,000.00

27 San Fabian 500,000.00

28 San Jacinto 500,000.00

29 Alcala 500,000.00

30 Bautista 500,000.00

31 Laoac 500,000.00

32 Pozorrubio 500,000.00

33 Sison 500,000.00

34 Sto. Tomas 500,000.00

35 Villasis 500,000.00

36 Rosales 500,000.00

Total 9,000,000.00

21,000,000.00

Ilocos Norte

Ilocos Sur

La Union

Pangasinan

Grand Total

239

Table 200. Summary of 2019 Database on the Compliance of Region 1

Summary: No. of

LGUs

DISPOSAL FACILITY SWM

Plan

OD CDF SLF Closed No Dumpsite Approved

ILOCOS NORTE 1

1st District 12 0 2 4 6 1 3

2nd District 11 0 1 7 3 0 2

TOTAL 23 0 3 7 9 1 5

ILOCOS SUR

1st District 11 0 6 1 4 0 2

2nd District 23 0 5 5 13 0 4

TOTAL 34 0 11 6 17 0 6

LA UNION 1

1st District 9 0 1 8 0 0 9

2nd District 11 0 0 4 7 0 11

TOTAL 20 0 1 12 7 0 20

PANGASINAN

1st District 10 0 5 3 2 0 1

2nd District 8 0 1 0 8 0 0

3rd District 6 1 0 0 5 0 1

4th District 5 1 4 0 0 0 2

5th District 9 0 1 1 6 1 2

6th District 10 0 1 0 9 0 1

TOTAL 48 2 12 4 30 1 7

Total for

Region 1

125 2 27 29 63 2 40

240

SUPPORT ACTIVITIES

Aside from implementation of the salient provisions of RA 9003, the ESWM section of EMB-

R1 spearheaded and provided support to other activities and programs that would strengthen and

upkeep the enactment of effective and sound solid waste management throughout the region.

IMPLEMENTATION OF SOLID WASTE ENFORCEMENT AND EDUCATION

PROGRAM (SWEEP)

The coverage of the Solid Waste Enforcement and Education Program (SWEEP) for

Calendar Year 2019 was expanded to cover all local government units nationwide. It aims to

strengthen institutional arrangements of the Department of Environment and Natural

Resources (DENR) and Environmental Management Bureau (EMB) field offices for

improved monitoring and enforcement of environmental laws through the establishment of

strong support systems to include the strengthening of partnership programs with local

government units and other stakeholders and capacitating personnel, among others.

The implementation of the SWEEP is consistent with the role of the DENR to

provide technical and other capability building assistance and support to the Local

Government Units (LGUs), in the development and implementation of local solid waste

management plans and programs (Section 8e, RA 9003) and to exercise visitorial and

enforcement powers to ensure strict compliance with the Act (Section 8g, RA 9003). An

orientation and enhancement program was conducted for newly hired and longstanding

EnMOs for each of the provinces in Region 1 in 2019. The topics in the program includes

continuation of the Basura Patrol Program, and salient features of R.A. 9003 and other

environmental laws enforced by the Environmental Management Bureau (EMB).

The major target of the SWEEP in terms of the education function of EnMOs is the

establishment/maintenance of Model Barangays in their respective areas. All of the selected

Model Barangays were nominated for the Regional Search for Model Barangays which ran

from September to November 2019. These Barangay nominees has undergone a strict on site

and paper review from the validators to ensure that best practices in proper solid waste

management is being implemented and observed.

As such, Table 201 shows the list of winners for three categories based on the income

class of the LGUs. Under Category C (4th

-5th Class Municipalities), the overall champion is

Brgy. Caparispisan, Pagudpud, Ilocos Norte. Under Category B (1st-3

rd Class Municipalities),

Brgy. Sta. Barbara, Agoo, La Union is the champion and under Class A for Cities, Brgy. 30

Sta. Maria, Laoag City was awarded the overall championship. The champions were awarded

a plaque and Php 200,000 cash prize. Minor prizes were also awarded for Barangays with

Best MRF, Best implementation of waste segregation and best implementation of segregated

collection for each category. The consolation prizes include plaque and Php 50,000 cash

prize. The awarding was held on December 13, 2019 at Casa De Castelle Hotel and Spa, San

Juan, La Union.


Table 201. Winners of the 2019 Regional Search for Model Barangays

Category Award Barangay Barangay Captain

CHAMPION Barangay 30-STA. MARIA, LAOAG CITY HON. GLENFORD T. PAGUIRIGAN

BEST MRF Barangay San Andres, Candon City, Ilocos Sur HON. DALILA L. BELLOZA

Best Implementer for Segregation at Source Barangay Ayusan Norte, Vigan City, Ilocos Sur HON. IGNACIO P. TADEO

Best Implementer for Segregated Collection Barangay Polo, Alaminos City, Pangasinan HON. AVELINO CORTEZ

CHAMPION Barangay Sta. Barbara, Agoo, La Union HON. ERWINA C. ERIGUEL

BEST MRF Barangay San Jose, San Nicolas, Ilocos Norte HON. GIOVANI A. TAYLAN

Best Implementer for Segregation at Source Barangay Caranglaan, Alcala, Pangasinan HON. RODOLFO V. URLANDA

Best Implementer for Segregated Collection Barangay Suksukit, Sto. Domingo Ilocos Sur HON. EDUARDO TACAL

CHAMPION Barangay Caparispisan, Pagudpud Ilocos Norte HON. LOVELLA S. GARVIDA

BEST MRF Barangay San Macario, Natividad, Pangasinan HON. BONIFACIO BAŃAGA

Best Implementer for Segregation at Source Barangay Poblacion, Sudipen, La Union HON. TERESITA L. CABACCANG

Best Implementer for Segregated Collection Barangay Poblacion, Burgos, Ilocos Norte HON. JOEGIE B. JIMENEZ

A (City)

B (1st-2nd Class

Municipalities)

C (4th-5th Class

Municipalities)


COACHING OF LGUS FOR THE COMPLETION OF THEIR 10-YEAR SOLID

WASTE MANAGEMENT PLAN

Section 16 of the RA 9003 mandates that the province, city or municipality, through

its local solid waste management boards, shall prepare its respective 10-year solid waste

management plans consistent with the National Solid Waste Management framework,

provided that the plan shall be for re-use, recycling and composting of waste generated in

their respective jurisdictions. The plan shall contain all components provided in Section 17 of

the Act and a timetable for the implementation of the solid waste management program and

that shall be reviewed and updated every year by the provincial, city or municipal solid waste

management board.

In support to this mandate, the ESWM Section of EMB-Region 1 held a series of

coaching for LGUs to assist in the completion of their respective 10-Year Solid Waste

Management Plan. A total of 54 LGUs from the four provinces of Region 1 were coached in

2019. The LGUs were guided on the completion of Form 4 and their respective waste flow

and more importantly the refinement and updating of their respective waste characterization

and analysis (WACS). A mock deliberation was also conducted in each of the coaching

events in order to prepare the LGUs in their defense with the NSWMC. Best practices were

also shared by LGUs with approved plans.

SOLID WASTE MANAGEMENT SUMMIT

The Environmental Management Bureau (EMB) – Region I of the Department of

Environment and Natural Resources held the 4th Region I Ecological Solid Waste

Management Summit with the theme: “Beat Air Pollution: Managing Solid Waste Towards

a Pollution-Free Environment” was attended by about 250 participants from local

government units across the Ilocos Region, National Government Agencies, Academe and

other stakeholders on June 25, 2019 at the Marand Resort, Bauang, La Union.

The event became a venue for sharing of best practices on solid waste management

among the LGUs. Recycled products were also exhibited in the event which includes bags,

pillows, ornamental vases, among others. Various alternative technologies on solid waste

management were also introduced to the attendees by EnP Grace P. Sapuay, President of the

Solid Waste Management Association of the Philippines, Dr. Melina A. Palencia of Envirog

Natural Producers Manufacturing, and lecturers from Suki Trading Corporation, Indopower

International, and Kata Traders.

The summit was attended by no less than EMB Undersecretary for Solid Waste

Management and LGU Concerns Benny D. Antiporda whom underscored in his keynote

address the importance of institutionalizing segregation at source in every household to

significantly reduce disposal in sanitary landfills.

BAYAN KO, LINIS KO NATIONAL CLEAN UP

The Bayan Ko, Linis Ko National Clean Up was launched in 2016 as a nationwide

clean-up program. It aims to complement and expand existing cleanup programs such as the

former Basura Patrol Program, now called the Solid Waste Education and Enforcement

Program (SWEEP) and the International Coastal Cleanup (ICC). With the success of the

2016, 2017 and 2018 Clean-up, the Environmental Management Bureau was requested by the

Biodiversity Management Bureau to also assist in the National Mountain Clean-up Day and

the International Coastal Clean-Up on September, 2019.

243

In line with the objectives of the Philippine Development Plan 2017 – 2022, the

program aims to contribute in Ensuring Ecological Integrity, Clean and Healthy Environment,

specifically to “Promote the practice of 3Rs and proper waste management”. To support the

activity, a one-day Organizational Meeting for the Implementation of Bayan Ko, Linis Ko

Clean-up Program with the theme “Battle for Litter-Free Seas” was organized on September

13, 2019 at Marand Resort and Spa, Bauang, La Union.

The event also served as the venue for the awarding of bank checks worth Php

25,000.00 to the recipients of the National Eco-Savers Program (NEP). These are the schools

selected, under strict criteria based on their implementation of solid waste management

programs. The Php 25,000 grant will serve as financial support to maintain and enhance their

existing and planned solid waste management programs. Below are pictures during the

awarding.

244 REGIONAL STATE OF BROWN ENVIRONMENT 2019

ENVIRONMENTAL ACTIVITIES

DENR-EMB Region I kicks off environmental campus tour 2019

Aimed to raise environmental awareness among students and promote sustainable and

eco-friendly practices in schools, the environmental campus tour of the Environmental

Management Bureau – Region I (EMB-I) of the Department of Environment and Natural

Resources (DENR) kicked off on January 18, 2019 at the La Marea Academy in Dagupan

City.

Over a hundred grade four to junior high students attentively listened to lectures on

different environmental laws. Engr. Remedios A. Jimenez, Chief of the Ambient Monitoring

and Technical Services Section, discussed the salient features of Republic Act 8749 or the

Clean Air Act of 1999 and Republic Act 9275 or the Clean Water Act of 2004, as well as the

clean air and clean water programs of the EMB-DENR. Engr. Maureen S. Malazo, Chief of

the Toxic and Hazardous Waste Management Section, presented Republic Act 6969 or Toxic

Substances and Hazardous and Nuclear Wastes Control Act and the adverse effects of toxic

substances in human health.

Ms. Ma. Isabel O. Perez, Chief of the Environmental Impact Assessment Section,

gave an overview of the Presidential Decree 1586 or the Environmental Impact Statement

System and stressed the importance of keeping the balance between the environment and the

socio-economic development of the country. Mr. Maynard Cara, Information Officer II,

talked about climate change and how the students can help lower their carbon footprint in

their own way. He likewise invited the faculty members and the students to join the 2019

National Search for Sustainable and Eco-Friendly Schools. Mr. Philip Matthew Licop,

Environmental Monitoring Officer, shared with the students how they should ecologically

manage their solid waste. Ms. Mariel S. Aquino, Communication Development Officer II of

the DENR Regional Public Affairs Office, discussed the role of the youth in protecting the

environment.


Posters and flyers on solid waste management, air and water conservation, and

climate change were given to La Marea Academy Principal Rochelle SD. Novales and the

student council officers.

DENR-EMB Region I through the Environmental Education and Information Unit

will visit schools and universities in the region to conduct environmental lectures and

promote the 2019 National Search for Sustainable and Eco-Friendly Schools.

DENR-EMB Region I and LGU San Juan, La Union

spearhead clean-up along San Juan coast

In celebration of World Water Day which highlights the importance of sustainable

management of water resources and in line with the top environmental priorities of the

Department of Environment and Natural Resources (DENR) Secretary Roy A. Cimatu which

include “Clean Water” and “Solid Waste Management,” the Environmental Management

Bureau – Region I (EMB-I) of the DENR in partnership with the local government unit of

San Juan, La Union spearheaded an orchestrated clean-up activity on March 15, 2019 along

the coast of San Juan, La Union

Over 500 volunteers from different barangays in San Juan, La Union, DENR-Region

I, EMB-I, PENRO La Union and Department of Education – Region I, and some resort

owners took part in the clean-up drive from the coast of Barangay Urbiztondo all the way to

Barangay Taboc.


San Juan, La Union Mayor Arturo P. Valdriz warmly welcomed the volunteers and

expressed gratitude to DENR-EMB Region I for initiating the clean-up activity. EMB-I

Regional Director Mara Dorica Naz-Hipe formally opened the clean-up drive and encouraged

the residents and volunteers to protect the beautiful San Juan beach which is now one of the

premier surfing and tourist destinations in the country. She underscored the importance of

ecologically managing solid wastes to prevent water pollution and adverse impacts on marine

life.

Prior to the clean-up activity, the participants gathered at the San Juan Gymnasium

where they were oriented by San Juan MENRO, Riza Joy Abat, to pick up plastic wastes and

residual wastes or rubbish not able to be recycled, re-used or composted. The volunteers

picked up residuals which were mostly small plastic wrappers and cigarette butts. One

medium-sized dump truck was filled with collected residuals.

This 2019, DENR-EMB-I will hold orchestrated clean-up activities along rivers and

the coastal beaches, especially in popular tourist destinations in the Ilocos Region to intensify

its information, education and communication campaigns on clean water and solid waste

management.

DENR-EMB Region 1 and LGU Dagupan City spearhead clean-

up along Tondaligan coast


About 500 volunteers took part in the orchestrated clean-up activity along the coast of

Barangay, Tondaligan in Dagupan City on April 26, 2019. The Environmental Management

Bureau – Region I (EMB-I) of the Department of Environment and Natural Resources

(DENR) organized the clean-up drive in partnership with the City Government of Dagupan to

intensify public awareness about properly managing solid wastes in line with the celebration

of Earth Day and Earth Month.

EMB-I Regional Director Maria Dorica Naz-Hipe expressed gratitude to the

volunteers from PENRO Pangasinan, CENRO Dagupan, LGU Dagupan City, Barangay

LGUs of Dagupan, Bureau of Fire Protection, Philippine National Police – Maritime Police,

Department of Education – Dagupan City Division, Centrum Fuels, Jollibee , McDonald’s,

cottage owners, residents and other stakeholders for joining the environmental event. She

encouraged the public to support the DENR and LGU Dagupan City in properly managing

solid wastes by segregating garbage at source, religiously practicing the 3 Rs – reduce, reuse

and recycle, and composting their biodegradable wastes which can be used as soil

conditioners. “The Tondaligan Beach is one of the most popular and beautiful bathing

beaches here in Region I, so we should work together to protect it,” added Director Hipe.

The expected 2-hour clean-up activity was reduced to 1 hour due to the huge turn out

of volunteers. A total of 96 trash bags and sacks which were filled with residual wastes were

collected. Mostly plastic food wrappers, cigarette butts, glass bottles were collected. EMB-I

holds orchestrated clean-up drives in popular bathing beaches and rivers in the Ilocos Region

in accordance with the top environmental priorities of DENR Secretary Roy A. Cimatu,

which include “Clean Water” and “Solid Waste Management.”


DENR-EMB Region I conducts ZumKalikasan: Hataw

para sa Malinis na Hangin


Environment and Natural Resources (DENR) organized and conducted a Zumba fitness

activity dubbed ZumKalikasan: Hataw para sa Malinis na Hangin on June 4, 2019 at the

Town Plaza, City of San Fernando, La Union, which aimed to promote a physical fitness

activity outdoors and raise public awareness on the need for clean air, air pollution prevention

and environmental protection.

Over 400 participants from the City Government of San Fernando, La Union; Region

I Offices of the DENR, Philippine National Police; National Police Commission; Department

of Interior and Local Government; Department of Health; Department of Foreign Affairs;

Land Transportation Office; Land Transportation Franchising and Regulatory Board;

Department of Science and Technology; Department of Social Welfare and Development;

Department of Education; Bureau of Fire Protection; Philippine Information Agency; and

Department of Labor and Employment; Provincial Environment and Natural Resources

Office-La Union led by PENRO Maximo F. Soriano, Jr.; Ilocos Training and Regional

Medical Center; Soiltech Agricultural Products; Jollibee Foods Corporation; La Union


Fitness Club, Teta’s Gym and Zumba contingents from Barangays Poblacion, Sagayad,

Tanqui, and Poro, took part in the said environmental fitness event.

EMB Region I Director Maria Dorica Naz-Hipe said the ZumKalikasan is one of the

activities of the DENR-Region I in line with the celebration of the World Environment Day

(June 5) and Philippine Environment Month with the global theme “Beat Air Pollution.”

“May this first ZumKalikasan further ignite the public’s concern not only for a clean and

healthy air quality, but also for the environment as a whole,” added RD Hipe.

DENR-I Assistant Regional Director for Management Services Leduina S. Co, in her

inspirational message expressed gratitude to the participants and urged them to take part in

the “Beat Air Pollution” campaign by constantly doing things that would reduce air pollution

such as planting trees, carpooling, taking public transportation, biking, saving electricity, and

not burning garbage, among others.

“Jollibee” and “Yum” mascots surprised the participants with their energetic and fun

opening dance number with the EMB-Region I”ZumBuddies”. Gift packs were given to 24

raffle winners, and the Zumba Kings and Queens from DENR-I, PNP-I, DSWD-I, and DOH-

I who showcased their best groove and stamina were also recognized.

The World Environment Day is celebrated every June 5th

and is the United Nation's

principal vehicle for encouraging awareness and action for the protection of the environment.

The month of June was declared as the Philippine Environment Month by virtue of

Presidential Proclamation No. 237 signed in 1998 by then President Corazon C. Aquino.

DENR-EMB-I holds 4th

Region I Ecological Solid Waste

Management Summit



Environment and Natural Resources held the 4th

Region I Ecological Solid Waste

Management Summit attended by about 250 participants from local government units across

the Ilocos Region, National Government Agencies, Academe and other stakeholders on June

25, 2019 at the Marand Resort, Bauang, La Union.

EMB-Region I Director Maria Dorica Naz-Hipe expressed gratitude to all the

participants who supported the said environmental event and urged all 125 local government

units (LGUs) in Region I to intensify their implementation of Republic Act 9003 or the

Ecological Solid Waste Management Act of 2000. She assured them that the DENR-EMB

Region I will continue to provide technical assistance in their solid waste management

programs and activities.

Engr. Eligio Ildefonso, Executive Assistant of EMB Director Metodio M. Turbella,

said the 4th

Region I Ecological Solid Waste Management Summit is a great venue for the

LGUs to learn the best available technologies and best available practices on ecological solid

waste management that they can adopt in their respective municipalities and cities.

EMB Undersecretary for Solid Waste Management and LGU Concerns Benny D.

Antiporda underscored in his keynote address the importance of institutionalizing segregation

at source in every household to significantly reduce disposal in sanitary landfills. “Maraming

nagsasabi na salot daw po ang plastic, pero ang salot po ay hindi plastic kundi tayong mga

tao. The DENR is not simply cleaning the Manila Bay or the environment. We are cleaning

the culture of the Filipino people,” stressed Usec Antiporda. He likewise appealed to the local

chief executives for them to set aside politics and focus on the welfare of the environment.

Usec. Antiporda encouraged the LGUs to come up with alternative ways to ecologically

manage solid wastes.

DENR-I Regional Executive Director Carlito M. Tuballa stressed that the ecological

management of solid wastes is everyone’s obligation and should be taken seriously. RED

Tuballa pointed out the importance of collaborative effort among the DENR, LGUs and the

communities in the successful implementation of the Ecological Solid Waste Management

Act of 2000. PENRO La Union Maximo F. Soriano, Jr. and Mr. Justito Orros III from the

Office of the Provincial Governor of La Union also graced the event.


DENR-EMB Region I awarded plaques of recognition to 24 LGUs whose Ten-Year

Solid Waste Management Plans were already approved by the National Solid Waste

Management Commission, namely the Provincial Government of La Union; City of San

Fernando and the municipalities of Bacnotan, Sudipen, Luna, Agoo, Naguilian, Caba and

Rosario in the Province of La Union; Alaminos City and the municipalities of Binalonan,

Mangaldan, Sta. Maria, Malasiqui and Alcala in the Province of Pangasinan; Candon City,

Vigan City, and the municipalities of Sta. Cruz and Sto. Domingo in the Province of Ilocos

Sur; and the municipalities of Paoay, Bangui, Burgos, San Nicolas and Bacarra in the

Province of Ilocos Norte.

The LGUs shared their best practices on solid waste management such as

vermicomposting, upcycling food wrappers and assorted product packaging into bags and

various decorations, eco-bricking or filling up plastic bottles with plastic materials, and

making eco-pavement blocks with cement and shredded pastic wrappers, among others,

which can be replicated by other municipalities and cities. The LGUs also showcased their

recycled products at exhibit booths set up in the lobby of Marand Resort.

Various alternative technologies on solid waste management were also introduced to

the attendees by EnP Grace P. Sapuay, President of the Solid Waste Management Association

of the Philippines, Dr. Melina A. Palencia of Envirog Natural Producers Manufacturing, and

lecturers from Suki Trading Corporation, Indopower International, and Kata Traders.

Technical guidebook on solid waste disposal operation and management, handbook

on the implementing rules and regulations of Republic Act 9003, and other information,

education and communication materials on solid waste management were distributed to all

the participants.

DENR-EMB Region I convenes REC and RIACEE

members for joint meeting; “Green Fair” slated for

October


The Environmental Management Bureau – Region I of the Department of

Environment and Natural Resources convened the members of the Regional Ecology Center

(REC) and Regional Interagency Committee on Environmental Education (RIACEE) for a

joint meeting on July 17, 2019 at Max’s Restaurant, City of San Fernando, La Union.

EMB-Region I Director Maria Dorica Naz-Hipe presided over the said meeting which

was attended by representatives from the Regional Offices of Commission on Higher

Education, Department of Science and Technology, Department of Trade and Industry,

Department of Public Works and Highways, Department of Social Welfare and

Development, Philippine Information Agency, Philippine National Police, City Government

of San Fernando, La Union, Don Mariano Marcos Memorial State University – North La

Union Campus, Philippine Association of Tertiary Level Educational Institutions in

Environmental Protection and Management, and Lupon ng mga Indibidwal na Nangangalaga

sa Kalikasan.

To promote environmental awareness and proper management of solid waste, The

REC and RIACEE members conceptualized an information, education and communication

activity dubbed “Green Fair” to be held in October at the municipality of San Fabian,

Pangasinan. The “Green Fair” will showcase eco-friendly products through a trade fair and

lectures on ecological solid waste management, climate change and disaster risk reduction.

Ms. Aloha May Renion, Environmental Monitoring Officer of the Ecological Solid

Waste Management Section, presented the Status of Compliance of LGUs with Republic Act

9003 or the Ecological Solid Waste Management of 2000. She also conducted an orientation

on the “Bayan Ko, Linis Ko” National Clean-up Month which will happen in September. RD

Hipe urged the REC and RIACEE members to take part in the “Bayan Ko, Linis Ko” to

maintain cleanliness of the environment and preserve the beautiful beaches in the Region.


DENR-EMB Region I and LGU San Fabian, Pangasinan spearhead orchestrated clean-up along San Fabian coast


The Environmental Management Bureau – Region I (EMB-I) of the Department

of Environment and Natural Resources (DENR) in partnership with the local government

unit of San Fabian, Pangasinan spearheaded on September 25, 2019 an orchestrated clean-up

activity along the coastal area of San Fabian, Pangasinan in observance of the International

Coastal Clean-up Day, National Clean-up Month, and World Environmental Health Day.

Over a thousand volunteers from DENR-Region I, Philippine National Police,

PNP Maritime Group Philippine Coast Guard, Bureau of Fire Protection, Academe, resort

owners and employees, Pangkat Guardians, Pantawid Pamilyang Pilipino Program

beneficiaries, residents and other stakeholders took part in the clean-up drive.

According to EMB-I Regional Director Maria Dorica Naz-Hipe, the said clean-

up aims to raise awareness about the importance of properly managing solid wastes and

keeping the waterbodies clean to avoid diseases caused by polluted environment. In a short

program prior to the clean-up, Director Hipe expressed gratitude to the volunteers and

encouraged them to institutionalize regular clean-up activities from ridge to reef.

Atty. Arlyn Katherine C. Buduhan, OIC-CENRO of Central Pangasinan, pointed

out that every participant will not just simply pick up trash, but will significantly contribute

in the protection of the marine ecosystem. She likewise appealed to the public to always

keep the San Fabian coastal area clean.

San Fabian Municipal Executive Secretary Antonio Supremido, Jr. gave a pre-

clean-up briefing and reminded the volunteers to segregate recyclable wastes from residuals

or non-recyclable wastes. Board Member Liberato Z. Villegas also joined the said

environmental activity and provided three garbage trucks which collected the sacks of

residuals or non-recyclable wastes. Most of the residual wastes picked up by the volunteers

were small plastic wrappers, styrofoam, and cigarette butts. The sacks of recyclable wastes

were brought to the materials recovery facility which can be sold to junk shops.

Proclamation No. 244, series of 1993 declares the month of September as

National Clean-Up Month and the 17th to the 23rd of September of each year as the World

Clean and Green Week. Presidential Proclamation No. 470, series of 2003, declares the third

Sunday of September of each year as the International Coastal Clean-Up Day in observance

of the Global Coastal Clean-up celebrations. President Rodrigo Duterte signed Proclamation

595 on October 1, 2018 declaring September 26 of every year as “World Environmental

Health Day” in the Philippines.


DENR-EMB Region I, REC, RIACEE hold Green

Caravan in San Fabian, Pangasinan


The Environmental Management Bureau – Region I, Regional Ecology Center (REC),

and Regional Interagency Committee on Environmental Education (RIACEE) in partnership

with the Municipality of San Fabian, Pangasinan conducted an environmental awareness

drive dubbed “Green Caravan” for barangay officials of the 34 barangays in the said

municipality and the Federation of Senior Citizens Association of the Philippines – San

Fabian Chapter on October 15, 2019 at the PTA Beach Resort, San Fabian, Pangasinan.

The Green Caravan is the information, education and communication activity of the

REC and RIACEE members as agreed upon during their joint meeting on July 17, 2019. It

aims to promote environmental awareness through environmental education pursuant to

Republic Act 9512 or the National Environmental Awareness and Education Act of 2008 and

to facilitate training on integrated ecological solid waste management to strengthen the

implementation of Republic Act 9003 or the Ecological Solid Waste Management Act of

2000.

EMB-Region I Director Maria Dorica Naz-Hipe stressed the importance of proper

solid waste management and keeping the environment clean not only to protect the beautiful

San Fabian beach which is a prime tourist destination, but also to prevent the spread of

diseases in the municipality.

Municipal Executive Secretary Antonio Supremido, Jr. represented Mayor Constante

Agbayani and thanked Director Hipe, DENR-EMB Region I, and the REC and RIACEE

members for holding the Green Caravan in their municipality.

Environmental Monitoring Officer Gemmalyn Marzan of the EMB-I Ecological Solid

Waste Management Section discussed Republic Act 9003 or the Ecological Solid Waste

Management Act of 2000 and emphasized the significance of composting to reduce residual

wastes being brought to disposal facilities. Mr. Aldjumar de Guzman, Environmental

Management Specialist II and EMB-I Climate Change Alternate Focal Person, presented

climate change mitigation and adaptation strategies. Engr. Judy Ann Sicdoy-Abella,

Environmental Management Specialist II, discussed the salient features of Republic Act 6969

or the Toxic Substances and Hazardous and Nuclear Wastes Control Act of 1990. She also

informed them of the health and environmental effects of hazardous wastes and other toxic

chemicals such as Lead, Mercury, and Persistent Organic Pollutants (POPs) and how to

dispose them in an environmentally sound way. Mr. Jomar Lucena of the Don Mariano

Marcos Memorial State University – North La Union Campus enumerated the geohazards in

Region I such as landslides, floods, typhoons, tsunamis, earthquakes and volcanic eruptions

and appropriate disaster risk reduction strategies. Engr. Antonio L. Estrada, EMB-I

Environmental Monitoring and Enforcement Division Chief, concluded the activity by urging

the barangay officials and senior citizens to apply what they learned in the various

environmental programs and projects in their respective communities.

The REC and RIACEE are both headed by DENR-EMB Region I and composed of the

regional offices of Department of Education, Commission on Higher Education, Department of

Social Welfare and Development, Technical Education and Skills Development Authority,

Department of the Interior and Local Government, Philippine Information Agency, Philippine

National Police, National Economic and Development Authority, Department of Science and

Technology, Department of Public Works and Highways, Department of Trade and Industry,

Department of Agriculture, and Department of Health, including the City of San Fernando, La

Union, Philippine Association of Tertiary Level Educational Institutions in Environmental

Protection and Management, Don Mariano Marcos Memorial State University, and Lupon ng

mga Indibidwal na Nangangalaga sa Kalikasan.


DENR-EMB Region I holds AIRobics: Indak para sa

Malinis na Hangin



Environment and Natural Resources (DENR) held an environmental fitness activity dubbed

“AIRobics: Indak para sa Malinis na Hangin” in celebration of multiple environmental

events: the Philippine Clean Air Month, National Environmental Awareness Month, and

Climate Change Consciousness Week, and launching the 18-Day Campaign to End Violence

Against Women on November 25, 2019 at the Don Mariano Marcos Memorial State

University – Mid La Union Campus (DMMMSU-MLUC) Covered Court, City of San

Fernando, La Union.

About 400 participants from the Region I Offices of the DENR, Department of Public

Works and Highways, Department of the Interior and Local Government, Philippine Navy,

Philippine Overseas Employment Administration, National Police Commission, Commission

on Elections, Philippine National Police, Social Security System, Commission on Higher

Education, Commission on Audit, Overseas Workers Welfare Administration, Bureau of

Internal Revenue, Philippine Drug Enforcement Agency, and Bureau of Fisheries and

Aquatic Resources, Ilocos Training and Regional Medical Center, DMMMSU-MLUC, and

Soiltech joined the said environmental fitness event.

EMB-I Regional Director Maria Dorica Naz-Hipe expressed her gratitude to the

DMMMSU-MLUC for allowing EMB-I to hold the “AIRobics” in their covered court, and

all the participants who took part in the said environmental fitness event. She urged the

attendees to take collaborative actions to keep the air quality clean and healthy and reduce

carboon footprints to mitigate climate change. RD Hipe likewise stressed the importance of

gender equality and encouraged the attendees to make a personal commitment to end

violence against women and children.

Dr. Hartwell Norman Merza, executive assistant to DMMMSU-MLUC Chancellor

Norman Corpuz, lauded the EMB-I for organizing the said environmental fitness activity and

assured RD Hipe that DMMMSU will continue to support the environmental programs of the

Bureau. He also encouraged the public to take a stand against climate change by reducing

greenhouse gas emissions just like the acclaimed climate activist Greta Thunberg.

ZIN Ely Borromeo of La Union and Mr. Alwyn del Rosario and Ms. Divina Gandalla

of Dance Fusion- Manila led the two-hour Zumba dance workout. Twenty participants were

picked through electronic raffle and won giftpacks. RD Hipe also recognized the Zumba

Kings and Queens from PNP-I and Senior Citizens who showcased their best groove and

stamina.


DENR-EMB Region I recognizes model barangays on solid waste

management and eco-friendly schools



Environment and Natural Resources (DENR) held the regional awarding ceremonies of the

2019 Search for Model Barangays on Ecological Solid Waste Management and the 2019

National Search for Sustainable and Eco-Friendly Schools on December 13, 2019 at the Plaza

de Castiel Hotel, San Juan, La Union.

EMB-I Regional Director Engr. Maria Dorica Naz-Hipe lauded the winning

barangays and schools and encouraged them to continue and improve the environmental

initiatives that they have started. She likewise stressed the importance of schools and

barangays in imbibing proper management of solid waste and green living values in students

and citizens.

The DENR-EMB 2019 Search for Model Barangay on Ecological Solid Waste

Management aims to demonstrate best practices in segregation at source, segregated

collection, maintenance and operation of Materials Recovery Facility (MRF) and the

implementation of local ordinances pertaining to Republic Act 9003 or the Ecological Solid

Waste Management Act of 2000. Below is the full rundown of all the winners and their

prizes:

CITY CATEGORY

Champion:

Barangay 30, Sta. Maria, Laoag City, Ilocos Norte (plaque and ₱200,000)

Best Materials Recovery Facility:

Barangay San Andres, Candon City, Ilocos Sur (plaque and ₱50,000)

Best Implementer for Segregation at Source:

Barangay Ayusan Norte, Vigan City, Ilocos Sur (plaque and ₱50,000)

Best Implementer for Segregated Collection:

Barangay Polo, Alaminos City, Pangasinan (plaque and ₱50,000)

1ST

-3RD

CLASS MUNICIPALITY


Champion:

Barangay Sta. Barbara, Agoo, La Union (plaque and ₱200,000)


Barangay San Jose, San Nicolas, Ilocos Norte (plaque and ₱50,000)


Barangay Caranglaan, Alcala, Pangasinan (plaque and ₱50,000)


Barangay Suksukit, Sto. Domingo Ilocos Sur (plaque and ₱50,000)

4TH

– 6TH

CLASS MUNICIPALITY

Champion:

Barangay Caparispisan, Pagudpud Ilocos Norte (plaque and ₱200,000)


Barangay San Macario, Natividad, Pangasinan (plaque and ₱50,000)


Barangay Poblacion, Sudipen, La Union (plaque and ₱50,000)


Barangay Poblacion, Burgos, Ilocos Norte (plaque and ₱50,000)

The biennial National Search for Sustainable and Eco-Friendly Schools, now on its

6th leg, is organized by the DENR through the EMB, in collaboration with the Department of

Education, Commission on Higher Education, Nestle Philippines, Landbank of the

Philippines, and Meralco. It aims to encourage academic institutions to become more actively

involved in environmental issues at a practical and local level; and to develop skills and

understanding among the students, faculty and school administrators in initiating active

responses and increasing community awareness and participation on environmental concerns.

Below is the full list of regional winners and their prizes:

ELEMENTARY CATEGORY

Regional Winner:

North Central Elementary School, Dagupan City (plaque and ₱15,000)

2nd

Place:

Pagudpud South Central Elementary School, Pagudpud, Ilocos Norte (plaque)

3rd

Place:

Mameltac Elementary School, San Fernando City, La Union (plaque)

Nestle Water Leadership Award:

Balbal-losa Elementary School, San Juan, La Union (plaque and ₱10,000)

Meralco Energy Leadership Award:

Central Elementary School, Pagudpud, Ilocos Norte (plaque and ₱10,000)

HIGH SCHOOL CATEGORY

Regional Winner:

Bangbangolan, National High School, City of San Fernando, La Union

(plaque and ₱15,000)

2nd

Place:

Carael National High School, Dagupan City (plaque)

3rd

Place:

Luzong National High School, Pagudpud, Ilocos Norte (plaque)



Bangbangolan, National High School, City of San Fernando, La Union

(plaque and ₱10,000)


Carael National High School, Dagupan City (plaque and ₱10,000)

HIGHER EDUCATION CATEGORY

Regional Winner:

Urdaneta City University, Urdaneta City, Pangasinan (plaque and ₱15,000)





A total of 164 participants including Mayor Rosita Rafael of Natividad, Pangasinan,

Mayor Wendy Joy Buquing of Sudipen, La Union, school principals, faculty members,

municipal environment and natural resources officers, punong barangays, and barangay

officials were present to receive their awards. The winning barangays and schools presented

their best practices on solid waste management and other eco-friendly initiatives which can

be replicated by their fellow barangays and schools.