SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Sediment management modelling in the Blue Nile Basin using SWAT model 
Authors:Betrie, G.D., Y.A. Mohamed, A. van Griensven and R. Srinivasan 
Journal:Hydrology and Earth System Sciences 
Volume (Issue):15(3) 
Article ID: 
URL (non-DOI journals):http://swatmodel.tamu.edu/publications/peer-reviewed-publications/ 
Broad Application Category:hydrologic and pollutant 
Primary Application Category:sediment loss and transport 
Secondary Application Category:BMP and/or cropping system assessment 
Watershed Description:184,566 km^2 Upper Bllue Nile River in Ethiopia 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Soil erosion/sedimentation is an immense problem that has threatened water resources development in the Nile river basin, particularly in the Eastern Nile (Ethiopia, Sudan and Egypt). An insight into soil erosion/sedimentation mechanisms and mitigation methods plays an imperative role for the sustainable water resources development in the region. This paper presents daily sediment yield simulations in the Upper Blue Nile under different Best Management Practice (BMP) scenarios. Scenarios applied in this paper are (i) maintaining existing conditions, (ii) introducing filter strips, (iii) applying stone bunds (parallel terraces), and (iv) reforestation. The Soil and Water Assessment Tool (SWAT) was used to model soil erosion, identify soil erosion prone areas and assess the impact of BMPs on sediment reduction. For the existing conditions scenario, the model results showed a satisfactory agreement between daily observed and simulated sediment concentrations as indicated by Nash-Sutcliffe efficiency greater than 0.83. The simulation results showed that applying filter strips, stone bunds and reforestation scenarios reduced the current sediment yields both at the subbasins and the basin outlets. However, a precise interpretation of the quantitative results may not be appropriate because some physical processes are not well represented in the SWAT model.