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Title (Primary) Multi-site validation of the SWAT model on the Bani catchment: model performance and predictive uncertainty
Author Chaibou Begou, J.; Jomaa, S.; Benabdallah, S.; Bazie, P.; Afouda, A.; Rode, M.;
Journal Water
Year 2016
Department ASAM;
Volume 8
Issue 5
Language englisch;
POF III (all) T31;
Keywords SWAT; Bani catchment; West Africa; discharge; daily calibration; performance and predictive uncertainty
UFZ wide themes RU2;
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.
ID 17417
Persistent UFZ Identifier http://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=17417
Chaibou Begou, J., Jomaa, S., Benabdallah, S., Bazie, P., Afouda, A., Rode, M. (2016):
Multi-site validation of the SWAT model on the Bani catchment: model performance and predictive uncertainty
Water 8 (5), art. 178