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Drought monitoring and mitigation by FAO 5-16 November, 2010 by FAO in selected regions of the world Zoltan Balint - Chief Technical Advisor & Peris Muchiri Meteorologist ation Meeting, Geneva, 15 & Peris Muchiri Meteorologist FAO – Somalia Water and Land Information Management WMO-GWP Consulta Consultation Meeting on the Proposed Integrated Drought Management Programme Geneva, Switzerland, 15-16 November, 2010

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Page 1: Drought monitoring and mitigation by FAOby FAO in selected ... · Drought monitoring and mitigation by FAOby FAO 5-16 November, 2010 in selected regions of the world Zoltan Balint

Drought monitoring and mitigationby FAO 5-

16 N

ovem

ber,

2010

by FAOin selected regions of the world

Zoltan Balint - Chief Technical Advisor & Peris Muchiri – Meteorologist at

ion

Mee

ting,

Gen

eva,

15

& Peris Muchiri – Meteorologist

FAO – Somalia Water and Land Information Management

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Consultation Meeting on the Proposed Integrated Drought Management ProgrammeGeneva, Switzerland, 15-16 November, 2010

Page 2: Drought monitoring and mitigation by FAOby FAO in selected ... · Drought monitoring and mitigation by FAOby FAO 5-16 November, 2010 in selected regions of the world Zoltan Balint

What is drought?

Food shortage can be caused by•Arid conditions

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Interpretation of drought in the media, in relief work, etc. is often too wide: drought is anything that results in food h t •Floods

•Diseases•Human conflicts •Market problems •Unsatisfactory use of resources or•Real drought

Drought is: atio

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Food shortage = Drought?

Serious anomaly - Long duration

Drought is:

“an extended period during which fresh water availability (particularly rainfall and soil moisture) is below normal and temperatures (and or winds) are high…”

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Understand (phenomena, threat) Monitor Take mitigating

actions

To be able to manage drought we need to

Plan

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OBJECTIVE ASSESSMENTS

EVIDENCE BASED DECISIONS

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MONITORING SYSTEMS

PROPER METHODS & DATA

RELIABLE INFORMATION

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How to measure the severity of drought?Drought indexes

- Physical indexes (water balance)- Statistical indexes (time series analysis)

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•Single parameter (precipitation, NDVI) •Multiple parameter

Multiple parameter

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precipitation temperature soil moisture wind

Combined effect

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5-16

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10Combined effect

precipitation temperature soil moisture wind

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deficiency

Distributionand run-lengthin antecedent

period(s)

excess

Distributionand run-lengthin antecedent

period(s)

deficiency

Distributionand run-lengthin antecedent

period(s)

no data

No methodology

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Comparative analysis

Combined Drought Index (CDI)Includes the above 6 parameters

Page 7: Drought monitoring and mitigation by FAOby FAO in selected ... · Drought monitoring and mitigation by FAOby FAO 5-16 November, 2010 in selected regions of the world Zoltan Balint

The Combined Drought Index (CDI) includes:

• Rainfall amounts and the run-length of the rainfall deficits 6

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deficits,

• NDVI and the run-length of the below average NDVI values,

• Temperature and the run-length of the above average temperatures on

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temperatures.

Note: Run-length is the number of dekads (or time units) continuously under or above the average.

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ACTUAL VALUE MULTI-YEAR AVERAGEcompared to

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Ratio Climatic conditions

1.0

Greater than 1.0 Better than normal

normal

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Smaller than 1.0 Worse than normal

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The CDI for dry years ranges between 0.0 and 1.0

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Precipitation drought index

)(,

1

)(,

1 0),(

0)(,

,

1

*1 P

im

n

k

Pkm

n

k

IP

jkjm

IP

jjmi

mi R

Rn

Pn

PPDI

6 N

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2010

Temperature drought index

Vegetation drought index

)(,

1

)(,

0)(,

1 0),(

,

1

*

1

Tim

n

k

Tkm

IP

jjmi

n

k

IP

jkjm

mi R

Rn

T

Tn

TDI

)(1

)(),

0)(,

1

* NDVI

n

k

NDVIkm

IP

jjmi

i

Rn

NDVIVDI on

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g g

Combined drought index

)(,

1 0),(

,1 NDVI

imn

k

IP

jkjm

mi RNDVI

n

VDI

mimimimi VDITDIPDICDI ,,2,, *25.0*25.0*5.0

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The above mathematical expressions in words can be written as below, where LTM stands for long-term mean or long-term average and summation (average) as well as run-length is calculated for the chosen interest period (e.g. 5 dekads, 3 months etc.)

Precipitation Drought Index =(actual rainfall sum / LTM rainfall sum) * Square root of (LTM of the longest rainfall deficit runs / actual longest rainfall deficit run)

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Vegetation Drought Index =(actual average NDVI / LTM average NDVI) * Square root of (LTM of the longest NDVI deficit runs / actual longest NDVI deficit run)

Temperature Drought Index = (LTM average temperature / actual average temperature) * Square root of (LTM of the longest excess temperature runs / actual longest excess temperature run)

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the longest excess temperature runs / actual longest excess temperature run)

It is important to note that the PDI, VDI and TDI are drought indexes by themselves. In case of missing time series they can be calculated on their own or in any combination with the available time series.

The CDI (the combination of the above three) basically answers the question:Where are we now compared to the multi-year average situation?

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Kenya - Dagoretti

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5W

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-GW

P C

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Kenya - Kakamega

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Somali stations

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Debrecen 1980 -2000

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Szeged 1951 -2000

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CONCLUSIONSDrought is a complex natural phenomenon with several socio-economic impacts

For monitoring drought, objectively measurable indexes are needed to measure as many contributing parameters as possible

Rainfall and soil moisture deficiency, excess temperature and wind as well as the run-length of the stress periods (continuous deficiency or excess of the above parameters) need to be included in the chosen drought monitoring index.

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The Combined Drought Index (CDI) meets the above requirements, although due to lack of data wind is not yet included

The CDI can calculate the Precipitation Drought Index, the Temperature Drought Index and the Vegetation Drought Index individually or in any combination of the three.

There is flexibility in choosing the Interest Period (No. of dekads or months,) depending on the purpose of the research

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sultaThe CDI gives good approximations even with data series less then 20 years long

and works well in data scarce environment

The results of the CDI time series can be the inputs into further statistical analysis

Initial socio-economic tests confirmed the drought periods calculated by the CDI. Further, scientific socio-economic analysis is under way. Based on the statistical and the socio-economic analysis a drought classification system (mild, medium, severe, extreme) can be developed.

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Drought Preparedness Planning and Mitigation by FAO in

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g ythe Near East Region

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recommends six steps that are fundamental in developing and implementing a national drought

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The Near-East Drought Preparedness Planning Manual

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Step 1: Creating Political Momentum and Authority Step 2: Strategic Planning and CoordinationStep 3: Fostering Involvement and Developing Common Understandings Step 4: Investigating Drought Monitoring Risk and

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Management Options Step 5: Writing a Drought Preparedness Plan Step 6: Implementing a Drought Preparedness Plan

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Conclusions and Recommendations of the Review Report

Gain a better understanding of the drought hazardFocus more attention on drought mitigation and preparedness planning

Moving from treating drought as an emergency to a new approach of long-term planning and implementing sustainable practices Strengthening governments’ drought mitigation and preparedness efforts

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5Strengthening governments’ drought mitigation and preparedness effortswith assistance from the United Nations and other organizations, Supporting and participating in regional networks and mechanisms

The creation of guidelines to assist countries in the preparation and implementation of national action programs for combating drought

Involving and mobilizing all communities

Establishment of drought early warning systems

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Creation of enabling mechanisms that would be entrusted with drought mitigation measures

Understand (phenomena, threat) Monitor Plan Take mitigating

actions

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Acknowledgements:

Note:The Combined Drought Index was developed in 2009 in FAO-SWALIM by Zoltan Balint, Francis Mutua and Peris Muchiri

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Contacts:

1. Kenya Meteorological Department – for providing data

2. Michele Bernardi – FAO Rome – for providing advice

3. University of Nebraska, Lincoln – for contributing to the two above reports

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Zoltan Balint: [email protected] Mutua: [email protected] Muchiri: [email protected] Bazza: [email protected] Frenken: [email protected] Bernardi: [email protected]

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Thank you for your attention

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Somalia Water and Land Information Management System WM

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