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Integrated Modeling for Agricultural and Hydrological Dynamics in the Volta Basin

This project examines agricultural and hydrological modeling in the White Volta Basin, focusing on optimizing cropping strategies, evaluating credit market impacts, and addressing data challenges. Key efforts include collaboration with the Ministry of Food and Agriculture and the Water Resources Commission to analyze the third cropping season for maize. Hydrological modeling utilizes the WaSiM-ETH model, validating predictions with runoff data. Key challenges include data synchronization between socio-economic surveys and hydrological models, and improving input-output estimations with existing datasets.

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Integrated Modeling for Agricultural and Hydrological Dynamics in the Volta Basin

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  1. IMK-IFU WRI ISSER UHOH IFPRI

  2. White Volta Basin Sub-Project

  3. Use cases: • In consultation with Ministry of Food and Agriculture and the Water Resources Commission, • Modeling Workshop in Jan. 2006, • Evaluating third cropping season strategy, • Evaluating the impact of Credit Market Reforms,

  4. Modeling: • MAS:Optimization component: • New household survey not enough for input-output estimation, • Started with old Matrix, • Representing the third cropping season (maize) a challenge: • New proposal and no household level data, • MoFA did experiments but no recorded data, • Alternative CropWat, FAO report and data from case farmers visited during different survey times.

  5. 2. Hydrologic component:

  6. 2. Hydrological model: -WaSiM-ETH Model for Atankwidi subcatchment, - 12 months modeling period (01.01.2004 to 31.12.2004), - validation done by one year runoff data “Kandiga Junction”, • simulation run with a spatial resolution of 100m and a daily temporal resolution, • the simulation included fictive reservoir and a fictive irrigation field,

  7. Spatial Representation of Models

  8. 1 V o l t a _ e p p + l i n . s h p - The major challenge we have now is synchronizing the geo-references of the socio-economic surveys and the hydrological data. It looks there scaling problem between the two.

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