Targeting investments in GW irrigation
The project serves to test and expand the applicability of the Bayesian-based decision tool TAGMI (developed by SEI as part of CPWF-V1). TAGMI provided recommendations for scaling-up the adoption of a specific irrigation technology. The project will specifically ground-truth and expand the TAGMI model adapted to petrol pumps for shallow groundwater irrigation (CPWF-RiU project) by: 1) verifying the results of the model with field observations and experts' opinions. 2) re-assessing the model structure (Are the lines and relationships accurate? What should change?) and data sources (Are there others to include? What organizations have the data?) 3) exploring avenues for model refinement through additional data sources and spatial disaggregation 4) exploring the potential of the model to other pumping and groundwater application technologies 5) exploring the relevance and data requirements of expanding the model to other areas in the wider Volta/Niger Basin.