SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Hydrological responses to land use/cover changes in the Olifants Basin, South Africa 
Authors:Gyamfi, C., J.M. Ndambuki and R.W. Salim 
Year:2016 
Journal:Water 
Volume (Issue):8(12) 
Pages: 
Article ID:588 
DOI:10.3390/w8120588 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:land use change assessment 
Secondary Application Category:hydrologic assessment 
Watershed Description:73,700 km^2 Olifants River, located in northeast South Africa. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:This paper discusses the hydrological impacts of land use changes on the Olifants Basin in South Africa using the Soil and Water Assessment Tool (SWAT). A three-phase land use scenario (2000, 2007 and 2013) employing the “fix-changing” method was used to simulate the hydrology of the Olifants Basin. Changes in land uses were related to different hydrological responses through a multi-regression analysis to quantify the effects of land use changes. Results reveal that from 2000 to 2013, a 31.6% decrease in rangeland with concomitant increases in agriculture lands (20.1%), urban areas (10.5%) and forest (0.7%) led to a 46.97% increase in surface runoff generation. Further, urbanization was revealed as the strongest contributor to increases in surface runoff generation, water yield and evapotranspiration (ET). ET was found to be a key water availability determinant as it has a high negative impact on surface runoff and water yield. Urbanization and agriculture were the most essential environmental factors influencing water resources of the basin with ET playing a dominant role. The output of the paper provides a simplistic approach of evaluating the impacts of land use changes on water resources. The tools and methods used are relevant for policy directions on water resources planning and adaptation of strategies. 
Language:English 
Keywords:hydrologic response; land use change; multi-regression; Olifants Basin; SWAT model