1. SCIENCEWORKSHOP:VoltaBasinDevelopment ChallengeoftheCPWF
Annual reflection meeting HydrologicalModelingCPWFV3 03th05th july
,2012 Presentedby FrankANNOR,KNUSTTUDelft
FOWETAZEN,2iEFoundation
2. PresentationOutline1. Background2. Methodology i.
Instrumentation ii. Modeling3. InitialResults4. Wayforward
AndesGangesLimpopoMekongNileVolta
3. Background Morphometric characteristics of Morphometric
characteristics of Boura catchment Binaba catchmentSurface area
(km) : 155.3 Surface area (km): 11.8Perimeter (m) : 59.6 Perimeter
(m) : 14.6Compactness index : 1.34 Compactness index : 1.2Mean
elevation (m) : 300 Mean elevation (m) : 225Specific elevation(m) :
37.24 Specific elevation (m) : 23.80Mean slope (m/km) : 3.4% Mean
slope (m/km) : 0.35%Global slope index(m/km) : 4 Global slope index
(m/km) : 6.9 AndesGangesLimpopoMekongNileVolta
4. Background Objectives Nohydrological monitoring
Physicalandhydrological Boura andBinaba watersheds
characterizationofwatershedsof areungauged bothsites
Norecordsofstreamflow, Buildingofthemonthly evaporation,waterlevel
etc streamflow timeseries Difficult tocalibrate a
Establishthewaterbudgetof hydrological modelinthe eachreservoir
basinat asmall watershed Determinetheheatbalanceof without these
records thereservoir Management(allocation)of ModelGWSWinteractions
waterhasnotbeenstreamlined especially forthedryseason
AndesGangesLimpopoMekongNileVolta
5. 2IE TUDelft Developing aHydrological model
Evaporationandseepagelosses (Yates,GIRARD&GR2M)
inlakesintheVoltabasinusing Developing awaterallocation
waterandheatbalance modelusing WEAPat asmaller
DetailedstudyinBinaba & watershed level (Boura and (Boura?)
Binaba)using thewaterbalance Regionalisingforthebasinusing
remotesensing(Imagesthrough WaterUse theTIGERproject) Other
componentsofthewater Groundwatersurfacewater balancei.e
Runoff,P,ET,etc interactions(naturalIsotopes)
AndesGangesLimpopoMekongNileVolta
6. MethodologyAndesGangesLimpopoMekongNileVolta
7. Water budget of the reservoir Bouraonly ? ? ?
AndesGangesLimpopoMekongNileVolta
8. Getting the water balance right ..1 gauge platesRain gauge
Evaporation panDTS Monitoring well EC
AndesGangesLimpopoMekongNileVolta
9. Getting the water balance right 2 Thalimedes Water Sampling
Points for Isotope analyses Rainfall Sampling
AndesGangesLimpopoMekongNileVolta
10. Modelling Diagnostic Analysesof Users/Typologies (Uses)
ModelOutput fromZonAgri Evaporation& SeepageLosses modeloutput
Outputfrom other hydrological
modelsAndesGangesLimpopoMekongNileVolta
11. Someinitialresults Seasonal flows in
BouraAndesGangesLimpopoMekongNileVolta
12. Someinitialresults Annual
flowsAndesGangesLimpopoMekongNileVolta
13. Someinitialresults Maximum monthly flows per
yearAndesGangesLimpopoMekongNileVolta
14. SomeinitialresultsModle GR2M Yates GirardLamecouleannuelle
36.02 31.6 34.79moyenne(mm)Lamecouleannuelle 34.21 28.4
35.3mdiane(mm)Ecarttype(mm) 16.84 17.6 20.85CoefficientVariation(%)
46.77 57.74 59.92Coefficientdcoulement 3.94 4.66 5.56annuelmoyen(%)
Maximum monthly flows per year
AndesGangesLimpopoMekongNileVolta
15. Someinitialresults Isotope
AnalysisAndesGangesLimpopoMekongNileVolta
16. Someinitialresults WaterTemperatureatbottomoflake 35 700 30
600 25 500Temperature(oC) Waterlevel(m) 20 400 15 300 10 200 5 100
0 0 Date/Time Binaba reservoir
AndesGangesLimpopoMekongNileVolta
17. WayForward More data collection Calibration and
verification of models Scenario building (climate change,water
uses, cropping pattern) AndesGangesLimpopoMekongNileVolta
18. Thank you foryour attention
AndesGangesLimpopoMekongNileVolta
LOAD MORE