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- W2222943579 abstract "On a continental and annual basis Africa has abundant water resources. However, the problem is that many people and large areas suffer from insufficient water supply due to large spatial and temporal variability within and between African countries and river basins. Though of critical importance, detailed information on water resources and water scarcity in Africa is still limited, and this is especially true for the groundwater recharge. By applying the semi-distributed hydrological model SWAT (Soil and Water Assessment Tool), different freshwater components (i.e. water yield, groundwater recharge, actual evapotranspiration, soil water) were estimated for the African continent by dividing the area into 1496 sub-basins. Using the program SUFI-2 (Sequential Uncertainty Fitting Algorithm), the model was calibrated and validated at 207 discharge stations and the uncertainty quantified for all temporally and spatially aggregated water resources components. The presented model and its results can be used in various advanced studies on climate change, water and food security, and virtual water trade, among others. First results for implications of the projected climate change on the African sub-basin and country based groundwater recharge are shown and evaluated, considering in particular prediction uncertainty." @default.
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- W2222943579 date "2009-01-01" @default.
- W2222943579 modified "2023-09-27" @default.
- W2222943579 title "Modelling freshwater availability in Africa: projected changes in groundwater recharge" @default.
- W2222943579 hasPublicationYear "2009" @default.
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