| Title: | Multi-Site validation of the SWAT model on the Bani catchment: Model performance and predictive uncertainty |
| Authors: | Begou, J.C., S. Jomaa, S. Benabdallah, P. Bazie, A. Afouda and M. Rode |
| Year: | 2016 |
| Journal: | Water |
| Volume: | 8(5) |
| Pages: | |
| Article ID: | 178 |
| DOI: | 10.3390/w8050178 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 100,000 km^2 Bani River, which drains portions of Mali, Burkina Faso and Cote d'Ivoire in western Africa |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Abstract: | The objective of this study was to assess the performance and predictive uncertainty of the Soil and Water Assessment Tool (SWAT) model on the Bani River Basin, at catchment and subcatchment levels. The SWAT model was calibrated using the Generalized Likelihood Uncertainty Estimation (GLUE) approach. Potential Evapotranspiration (PET) and biomass were considered in the verification of model outputs accuracy. Global Sensitivity Analysis (GSA) was used for identifying important model parameters. Results indicated a good performance of the global model at daily as well as monthly time steps with adequate predictive uncertainty. PET was found to be overestimated but biomass was better predicted in agricultural land and forest. Surface runoff represents the dominant process on streamflow generation in that region. Individual calibration at subcatchment scale yielded better performance than when the global parameter sets were applied. These results are very useful and provide a support to further studies on regionalization to make prediction in ungauged basins. |
| Language: | English |
| Keywords: | SWAT; Bani catchment; West Africa; discharge; daily calibration; performance and predictive uncertainty |