2016
DOI: 10.3390/w8120588
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Hydrological Responses to Land Use/Cover Changes in the Olifants Basin, South Africa

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 ran… Show more

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Cited by 107 publications
(65 citation statements)
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“…The simulation reflected the observed flow rationally, indicating a good performance of model in simulating the hydrological impacts of land use changes over the 2000 to 2032 periods [72,74,76,83]. The achieved R 2 (0.93 for calibration and 0.83 for validation) values express good evenness between the observed and simulated data [72,74,76,83]. NSE above 0.60, PBIAS < 10% and RSR < 0.6 were also achieved while positive values of PBIAS indicate the under estimation of the model.…”
Section: Calibration and Validationmentioning
confidence: 59%
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“…The simulation reflected the observed flow rationally, indicating a good performance of model in simulating the hydrological impacts of land use changes over the 2000 to 2032 periods [72,74,76,83]. The achieved R 2 (0.93 for calibration and 0.83 for validation) values express good evenness between the observed and simulated data [72,74,76,83]. NSE above 0.60, PBIAS < 10% and RSR < 0.6 were also achieved while positive values of PBIAS indicate the under estimation of the model.…”
Section: Calibration and Validationmentioning
confidence: 59%
“…The analysis focused on hydrological components including surface runoff, groundwater flow, evapotranspiration and water yield. The results are The achieved R 2 (0.93 for calibration and 0.83 for validation) values express good evenness between the observed and simulated data [72,74,76,83]. NSE above 0.60, PBIAS < 10% and RSR < 0.6 were also achieved while positive values of PBIAS indicate the under estimation of the model.…”
Section: Impacts Of Land Use Changes In Hydrological Componentsmentioning
confidence: 59%
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“…The surface and groundwater abstractions were analyzed as in [16] using data obtained from the Water Resource Management Authority water permit database, satellite imagery, field assessments, Ministry of Agriculture, Lusaka Water and Sewerage Company, and the Groundwater Resources Management Support Programme database ( Figure S4, Supplementary Materials). The use of hydrologic models offers the advantage of spatially mapping the patterns of hydrological consequences resulting from LULC changes and allows for the comparison of basin changes in hydrological components with basin-scale changes in Land use/Land cover [25].…”
Section: Simulation Of Hydrological Components In Weap Modelmentioning
confidence: 99%