SCIENCE WORKSHOP : Volta Basin Development Challenge of the CPWF          Annual reflection meeting   Hydrological Modelin...
Presentation Outline1. Background2. Methodology   i. Instrumentation   ii. Modeling3. Initial Results4. Way forward    And...
Background   Morphometric characteristics of                                 Morphometric characteristics of         Boura...
Background                                        Objectives× No hydrological monitoring                            Physic...
2IE                                                        TU‐Delft  Developing a Hydrological model                     E...
MethodologyAndes • Ganges • Limpopo • Mekong • Nile • Volta
Water budget of the reservoir                                                      Boura only               ?             ...
Getting the water balance right ..1                                     gauge platesRain gauge                            ...
Getting the water balance right …2 Thalimedes                                                   Water Sampling Points     ...
Modelling                                    Diagnostic                                                              Analy...
Some initial results                             Seasonal flows in BouraAndes • Ganges • Limpopo • Mekong • Nile • Volta
Some initial results                             Annual flowsAndes • Ganges • Limpopo • Mekong • Nile • Volta
Some initial results                             Maximum monthly flows per yearAndes • Ganges • Limpopo • Mekong • Nile • ...
Some initial resultsModèle                                   GR2M                Yates           GirardLame écoulée annuel...
Some initial results                             Isotope AnalysisAndes • Ganges • Limpopo • Mekong • Nile • Volta
Some initial results                                                               Water Temperature at bottom of lake    ...
Way Forward More data collection Calibration and verification of models Scenario building (climate change,water uses, crop...
Thank you foryour attention  Andes • Ganges • Limpopo • Mekong • Nile • Volta
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Hydrological Modeling‐CPWFV3

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CPWF Volta Science Workshop: Management of Small Reservoirs for Multiple Purposes

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Hydrological Modeling‐CPWFV3

  1. 1. SCIENCE WORKSHOP : Volta Basin Development Challenge of the CPWF Annual reflection meeting Hydrological Modeling‐CPWFV3 03th‐05th july , 2012 Presented by Frank ANNOR, KNUST‐TUDelft FOWE TAZEN,  2iE Foundation
  2. 2. Presentation Outline1. Background2. Methodology i. Instrumentation ii. Modeling3. Initial Results4. Way forward Andes • Ganges • Limpopo • Mekong • Nile • Volta
  3. 3. Background Morphometric characteristics of Morphometric characteristics of Boura catchment Binaba catchmentSurface area (km²) : 155.3 Surface area (km²): 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 Andes • Ganges • Limpopo • Mekong • Nile • Volta
  4. 4. Background Objectives× No hydrological monitoring Physical and hydrological  – Boura and Binaba watersheds characterization of watersheds of  are ungauged both sites • No records of streamflow,  Building of the monthly  evaporation, water level etc streamflow time series • Difficult to calibrate a  Establish the water budget of  hydrological model in the  each reservoir basin at a small watershed Determine the heat balance of  without these records the reservoir× Management (allocation) of  Model GW‐SW interactions water has not been streamlined  especially for the dry season Andes • Ganges • Limpopo • Mekong • Nile • Volta
  5. 5. 2IE TU‐Delft Developing a Hydrological model  Evaporation and seepage losses  (Yates, GIRARD & GR2M)  in lakes in the Volta basin using  Developing a water allocation  water and heat balance model using WEAP at a smaller Detailed study in Binaba &  watershed level (Boura and  (Boura?)  Binaba) using the water balance Regionalising for the basin using  remote sensing (Images through  Water Use the TIGER project) Other components of the water  Groundwater surface water  balance i.e Runoff, P,ET, etc interactions (natural Isotopes) Andes • Ganges • Limpopo • Mekong • Nile • Volta
  6. 6. MethodologyAndes • Ganges • Limpopo • Mekong • Nile • Volta
  7. 7. Water budget of the reservoir Boura only ? ? ? Andes • Ganges • Limpopo • Mekong • Nile • Volta
  8. 8. Getting the water balance right ..1 gauge platesRain gauge Evaporation panDTS Monitoring well EC Andes • Ganges • Limpopo • Mekong • Nile • Volta
  9. 9. Getting the water balance right …2 Thalimedes Water Sampling Points for Isotope analyses Rainfall Sampling Andes • Ganges • Limpopo • Mekong • Nile • Volta
  10. 10. Modelling Diagnostic  Analyses of  Users/Typologies (Uses) Model Output  from ZonAgri Evaporation &  Seepage Losses  model output Output from  other  hydrological  modelsAndes • Ganges • Limpopo • Mekong • Nile • Volta
  11. 11. Some initial results Seasonal flows in BouraAndes • Ganges • Limpopo • Mekong • Nile • Volta
  12. 12. Some initial results Annual flowsAndes • Ganges • Limpopo • Mekong • Nile • Volta
  13. 13. Some initial results Maximum monthly flows per yearAndes • Ganges • Limpopo • Mekong • Nile • Volta
  14. 14. Some initial resultsModèle GR2M Yates GirardLame écoulée annuelle  36.02 31.6 34.79moyenne (mm)Lame écoulée annuelle  34.21 28.4 35.3médiane(mm)Ecart‐type (mm) 16.84 17.6 20.85Coefficient Variation (%) 46.77 57.74 59.92Coefficient découlement  3.94 4.66 5.56annuel moyen (%) Maximum monthly flows per year Andes • Ganges • Limpopo • Mekong • Nile • Volta
  15. 15. Some initial results Isotope AnalysisAndes • Ganges • Limpopo • Mekong • Nile • Volta
  16. 16. Some initial results Water Temperature at bottom of lake 35 700 30 600 25 500Temperature (oC) Water level (m) 20 400 15 300 10 200 5 100 0 0 Date/Time Binaba reservoir Andes • Ganges • Limpopo • Mekong • Nile • Volta
  17. 17. Way Forward More data collection Calibration and verification of models Scenario building (climate change,water uses, cropping pattern) Andes • Ganges • Limpopo • Mekong • Nile • Volta
  18. 18. Thank you foryour attention Andes • Ganges • Limpopo • Mekong • Nile • Volta

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