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