SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Use of the Swat Model for Hydro-Sedimentologic Simulation in a Small Rural Watershed 
Authors:Uzeika, T., G.H. Merten, J.P.G. Minella and M. Moro 
Journal:Revista Brasileira de Ciência do Solo 
Volume (Issue):36(2) 
Article ID: 
URL (non-DOI journals):http://www.scielo.br/scielo.php?pid=S0100-06832012000200025&script=sci_arttext 
Broad Application Category:hydrologic & pollutant 
Primary Application Category:hydrologic assessment 
Secondary Application Category:sediment loss and transport 
Watershed Description:1.19 km^2 "rural" in northeast Rio Grande do Sul in southern Brazil 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Mathematical models have great potential to support land use planning, with the goal of improving water and land quality. Before using a model, however, the model must demonstrate that it can correctly simulate the hydrological and erosive processes of a given site. The SWAT model (Soil and Water Assessment Tool) was developed in the United States to evaluate the effects of conservation agriculture on hydrological processes and water quality at the watershed scale. This model was initially proposed for use without calibration, which would eliminate the need for measured hydro-sedimentologic data. In this study, the SWAT model was evaluated in a small rural watershed (1.19 km^2) located on the basalt slopes of the state of Rio Grande do Sul in southern Brazil, where farmers have been using cover crops associated with minimum tillage to control soil erosion. Values simulated by the model were compared with measured hydrosedimentological data. Results for surface and total runoff on a daily basis were considered unsatisfactory (Nash-Sutcliffe efficiency coefficient – NSE < 0.5). However simulation results on monthly and annual scales were significantly better. With regard to the erosion process, the simulated sediment yields for all years of the study were unsatisfactory in comparison with the observed values on a daily and monthly basis (NSE values < -6), and overestimated the annual sediment yield by more than 100 %. 
Keywords:soil and management, water erosion, sediment yield, hydrologic modeling