ground water sampling assignment
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SOIL AND WATER DATA COLLECTION, MONITORING, ANDEVALUATION ASSIGNMENT
MONITORING OF WELLS WATER QUALITY IN INDONESIA
By:Anna Mariana Situngir
Nur Ariyant!
A"#i$!r:
Dr% DWI SETYAWAN
ENVIRONMENTAL SCIENCE DE&ARTMENTDOUBLE MASTER DEGREE INTEGRATED RIVER,LOWLAND, AND COASTAL DEVELO&MENT AND
MANAGEMENT &LANNING 'DD(IRLCDM&)SRIWI*AYA UNIVERSITY
+-.
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CHAPTER IINTRODUCTION
1. BACKGROUND
Almost Indonesia people still uses groundwater especially well as their drinking
water source. This happens particularly in rural areas in Indonesia. However, the
information of wells water quality in Indonesia is still lack because the
groundwater sampling is still rare to do especially for well in residents in the rural
areas such as Pesawaran egency. In Pesawaran itself, the groundwater
monitoring is conducted only once a year and only at two or three sampling sites.
!"nvironmental #ondition eport of Pesawaran$. It is because some local governments
in Indonesia have limit budget for groundwater monitoring. %oreover, the central
government of Indonesia provides limit budget for groundwater monitoring so the
monitoring can not be done periodically. &eside that, the groundwater monitoring
is a little bit e'pensive due to the technology, chemical reagents used and limited
environment analyst. However, Indonesia government still give less attention for
environment quality.
(sually, the groundwater monitoring is done when the groundwater is
contaminated. Therefore, it is difficult to get data and information about
groundwater quality for long term because many of environmental monitorings in
Indonesia is not conducted for regularly and continuously. However, information
plays an important role in the groundwater monitoring because monitoringwithout specification of information needs before the pro)ect design will be
wasting money, it is important for the effectiveness of monitoring and needed by
the management for making decisions. !%ogheir, * and +ingh, .P. --$.
Figure 1. Monitoring Cycle+ource / %ogheir, * and +ingh, .P. --. Application of Information Theory to 0roundwater
1uality %onitoring 2etworks. http/33cleveland-.ce.ttu.edu. Acessed on 4uly 5, -56
. PROB!EM DEFINITION
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The groundwater monitoring in Indonesia is done, but the frequency is usually
not perodically because the cost of groundwater monitoring usually limited.
According to Patrick eed et al !-7$, the monitoring of environmental system
usually has limit costs. 8ue to cost and technology limitations, those resulted in
new design paradigm for groundwater remediation from resource recovery tolongterm risk management. &eside limited cost, the groundwater monitoring
methods is e'pensive especially for long9term monitoring. Therefore, the costs of
long9term monitoring for the sites has been reduced by developing a new
methodology for sampling plan design. !eed, Patrik. et al. -$
&eside that, the groundwater monitoring becomes e'pensive because the water
must be handled and treated and it needs large volume to purge and treat the
water. !Powell, obert and Puls, obert. -6$. However, treating the water will
chemical and usually cost of chemical is not cheap. :urthermore, the necessity
to employ one or more field technicians to take samples from a sampling site isalso not economics.
In addition, some groundwater monitoring methods are inefficient and
undesirable. According to 0ranato et al !5;;
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0roundwater is water which is located under the earth=s surface in the soil pore
spaces. It is recharged from and flow to the surface naturally. The discharge is
naturally happen at springs and seeps and can form wetlands. In addition, the
groundwater is often taken for agriculture, municipal, and industrial use through
contructing and operating e'traction wells. !>ikipedia, the free encyclopedia$
Figure . Groun'()ter+ource. >aller, oger %. 5;
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%ethod tested in a sampling site.
(ndesirable Personnel shortages, bad weather,surge of effluent, contamination, andother factors limit the frequency ofsamples can be taken
+ource / 0ranato et al. -. Automated 0roundwater %onitoring +ystem and %ethod.
"ven though, the manual maethod has some disadvantages, the groundwater
monitoring in Indonesia mostly still uses this method because the new
technology is usually e'pensive.
+econd method is automated method which uses passive techniques. In this
method, a data logger will control a probe which is located in a well to make
measurements from which water quality can be determined. However, this
method has better performance than manual method and the benefits is
outweight than drawbacks. The benefits and drawbacks of automated methodcan be seen in below table.
T)*le . T0e Bene-it+ )n' Dr)(*)c+ o- Auto)te' Groun'()ter %)/ling Met0o'
Automatedmethod
Bene-it+ Dr)(*)c+
?ower cost than manual method The si@e of the pressuretransducers and other probesused limits the minimumdiameter of the samplingwells in which they are
installed.It might be programmed to takea greater frequency of measurements than manualmethod
The data collected are oftenelectronically stored
+ome automated methods havebeen equipped with diagnosticfeedback to increase system
reliability+ource / 0ranato et al. -. Automated 0roundwater %onitoring +ystem and %ethod.
According to obert Powell and obert Puls !-6$, groundwater sampling can
be done using the low9flow and passive sampling. Those methods can be the
most accurate to reduce the large volume of purged water by using dedicated
sampling devices. &eside the volume is eliminated, the time also is reduced. ?ow
flow samping is modification of traditional techniques that sample groundwater
with pumps. The pump is placed at the point where the contaminant
concentration is desired usually at the @one of highest contaminant
concentration. Then, the purging is begun, typically at a rate of .5 to .7 quarts
per minute. The parameters that will be measured in this sampling are pH,
4 Soil and Water Data Collection, Monitoring, and Evaluation Assignment
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temperature, conductivity, 8, and turbidity. Passive sampling has ob)ective to
get the needed samples with minimum possible disturbance to the water in the
well. The disturbance will increase the purging volume and time. The passive
sampling can be done through the following steps/
5. Ad)ust the pump to the slow sampling speed and turn it off.-. Attach the pump to the tubing e'iting the well and start the pump.B. Purge enough water to remove the sampling device volume at least once.6. #ollect and preserve the samples.7. %easure the water level.C. #lose up and proceed to the ne't well.
According to Patrick eed, et al !-$, there are four kinds of groundwater
monitoring. :irst, fate9and9transport simulation which uses the reactive transport
in three dimensions !TB8$ developed at the Pacific 2orthwest 2ational
?aboratories !#lement et al., 5;;< in eed, Patrick. "t al. -$. TB8 can beused to evaluate contaminant fate and transport both reactive or nonreactive
conditions. The current version of TB8 can detect some reactions such as
aerobic decay of ben@ene, toluene, ethyl ben@ene, and 'ylene! &T"D$.
%oreover, it can detects degradation of &T"D using multiple electron acceptors,
sequential degradation of perchloroethylene, and other aqueous contaminant
reactions. However, TB8 must be coupled with a groundwater flow simulator
because flow simulation is used to determine the hydraulic heads required in the
calculation of contaminant transport velocities.
+econd, global mass estimation method which is used to show changes in the
dissolved contaminant mass between successive monitoring periods. The
coordinates and concentrations of sampled points of each potential design are
used to estimate contaminant concentrations at all unsampled nodes within the
modeled domain by using one of two interpolation methods which is kriging or
inverse9distance weighting. The global mass estimate for a particular sampling
plan is then calculated by simply adding all of the mass concentrations and
multiplying this value by the total effective pore volume of the aquifer.
Third, ordinary kriging which is a kind of geostatistical methods. This method canprovide minimum error estimates of contaminant concentrations at unsampled
locations using linear combinations of sampled concentrations. !#ooper and
Istok. 5;
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positive9definite and nonnegative. ?ast, the analysis involves estimating
contaminant concentrations at unsampled locations using ordinary kriging.
However, the ordinary kriging assumes that the mean contaminant concentration
in the neighborhood of an unestimated point is stationary, but trend removal
maybe required in instances where the e'perimentals emivariogram does nothave a clearly defined sill value. The validity of kriged estimates depends on how
well the mathematical model used in structural analysis to predict the spatial
correlation of contaminant concentrations. #ross validation was used to insure
the accuracy of the mathematical model. #ross validation consists of
sequentially estimating concentrations at each of then known locations using the
remaining n 9 5 sampled locations in the domain. An analysis of the residuals
between the estimates and actual known concentrations must show that the
residuals are normally distributed, independent, and have an e'pected value
equal to @ero before the semivariogram model was accepted. Then, the
validated model of the semivariogramis used as an input for kriging. However,
using kriging for interpolation has disadvantages such as its comple'ity
computation and the calculating and validating the semivariogram can require
considerable e'pertise and analytical time.?ast, inverse9distance interpolation which has strength its numerical simplicity.
This method can be used as an alternative method for interpolation since kriging
has some limitations that have stated. The inverse9distance method could also
be used as a screening step to determine whether a detailed geostatistical
analysis could result in considerable savings in sampling costs.
:urthermore, eed, Patrick, et al in -7 has been using new version of the
2ondominated +orted 0enetic Algorithm9II !2+0AII$, 92+0AII for longterm
groundwater monitoring !?T%$. ?T% is sampling of groundwater quality over long
time9scales to provide EEsufficient and appropriate information== to assess if
current mitigation or contaminant control measures are performing adequately to
be protective of human and ecological health. The ?T% problem is ideal for
demonstrating how "% can aid environmental decision making because of the
tremendous e'pense and comple'ity of characteri@ing groundwater
contamination sites over long time periods. (sually, the 92+0AII is combinedwith a parameteri@ation strategy to accomplish the following/ !5$ ensure the
algorithm will maintain diverse solutions, !-$ eliminate the need for trial9and9error
analysis of parameter settings !i.e., population si@e and crossover$, and !B$ allow
users to sufficiently capture tradeoffs using a minimum number of design
evaluations. A sufficiently quantified tradeoff can be defined as a subset of
Pareto optimal solutions that provide an adequate representation of the Pareto
frontier that can be used to inform decision making. A tradeoff solution is termed
Pareto optimal when the solution can only improve its value in one ob)ective by
degrading its value for at least one other ob)ective !Pareto, 5
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plotted in ob)ective space. B92+0AII enables the user to specify the precision
with which they want to quantify the Pareto optimal set and all other parameters
are automatically specified within the algorithm. The proposed algorithm consists
of three steps. :irst, utili@es the 2+0AII with a starting population of 7 individuals
to initiate "% search. The initial population si@e is set arbitrarily small to ensurethe algorithm=s initial search is done using a minimum number of function
evaluations. +ubsequent increases in the population si@e ad)ust the population
si@e commensurate with problem difficulty. +econd, the 92+0AII uses a fi'ed
si@ed archive !which inherently results from the user9specified B precision$ to
store the nondominated solutions generated in every generation of the 2+0AII
runs. The 98ominance allows the user to define the precision with which they
want to evaluate each ob)ective by specifying an appropriate 9value for each
ob)ective. ?ast, checks a user9specified performance and termination criteria to
determine if the Pareto optimal set has been sufficiently quantified. If the criteria
are not satisfied, the population si@e is doubled and the search is continued.
>hen increasing the population, the initial population of the new run has
solutions in)ected from the archive at the end of the previous run. The algorithm
terminates if either a ma'imum user time is reached or if doubling the population
si@e fails to significantly increase the number of nondominated solutions found
across two runs.
Figure ". %c0e)tic O,er,ie( o- N%GAII+ource/ eed, Patrick. et al. -7. http/33faculty.mu.edu.sa3. Acessed on 4uly 5, -56
CHAPTER IIIMETHODO!OG2
The groundwater sampling method will be used in the pro)ect is passive
sampling because the disposal of large volume of purged water that must be
handled and treated often can be minimi@ed. The method can be the most
accurate to reduce the large volume of purged water by using dedicated
sampling devices because beside the volume is eliminated, the time also is
Soil and Water Data Collection, Monitoring, and Evaluation Assignment
Ad)ust the pump to the slowsampling speed and turn it off
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reduced. Passive sampling has minimum possible disturbance to the water in the
well. The passive sampling can be done by the following steps/
!ITERATURE
Anonymous. 0roundwater. >ikipedia, the free encyclopedia.
http/33en.wikipedia.org3wiki30roundwater.Acessed on 4uly 56, -56
Anonymous. -56. "arth=s >ater/ 0roundwater.
http/33water.usgs.gov3edu3earthgw.html.Acessed on 4uly 56,-56.
! Soil and Water Data Collection, Monitoring, and Evaluation Assignment
Attach the pump to the tubing e'iting
the well and start the pump
Purge enough water to remove thesampling device volume at least once
#ollect and preservethe samples
%easure the waterlevel
#lose up and proceedto the ne't well
Analysis sampling waterbased on +2I
Physical parameter
#hemical parameter
&iolo arameter
%onitoring well water qualityusing inverse9distance method
http://en.wikipedia.org/wiki/Groundwater.%20Acessed%20on%20July%2014http://en.wikipedia.org/wiki/Groundwater.%20Acessed%20on%20July%2014http://water.usgs.gov/edu/earthgw.htmlhttp://en.wikipedia.org/wiki/Groundwater.%20Acessed%20on%20July%2014http://en.wikipedia.org/wiki/Groundwater.%20Acessed%20on%20July%2014http://water.usgs.gov/edu/earthgw.htmlhttp://en.wikipedia.org/wiki/Groundwater.%20Acessed%20on%20July%2014 -
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?ocal 0overnment of Pesawaran egency. -5-. #ondition eport of Pesawaran
-5-. 0edongtataan
0ranato et al. 5;;hat is 0round >aterF http/33pubs.usgs.gov. Acessed
on 4uly 56, -56
" Soil and Water Data Collection, Monitoring, and Evaluation Assignment
http://cleveland2.ce.ttu.edu/http://pubs.usgs.gov/http://cleveland2.ce.ttu.edu/http://pubs.usgs.gov/