2017
DOI: 10.1016/j.pce.2017.02.014
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Assessment of water availability for competing uses using SWAT and WEAP in South Phuthiatsana catchment, Lesotho

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Cited by 33 publications
(20 citation statements)
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“…Due to data limitations, the short flow records from 2005 to 2015, which include both drier and wetter years, recorded at gauging stations 1G1 and 1H8, were chosen to evaluate the model performance. This approach has also been used to evaluate model performances in the Didessa sub-basin [7] and the South Phuthiatsana catchment [24]. The model stream flows were manually calibrated by altering the model parameters (through trial and error) to have the best fit between the simulated and observed flow [23].…”
Section: Model Performancementioning
confidence: 99%
“…Due to data limitations, the short flow records from 2005 to 2015, which include both drier and wetter years, recorded at gauging stations 1G1 and 1H8, were chosen to evaluate the model performance. This approach has also been used to evaluate model performances in the Didessa sub-basin [7] and the South Phuthiatsana catchment [24]. The model stream flows were manually calibrated by altering the model parameters (through trial and error) to have the best fit between the simulated and observed flow [23].…”
Section: Model Performancementioning
confidence: 99%
“…The hydrograph of observed and simulated monthly streamflow after SWAT model calibration showed inconsistency in prediction of streamflow peaks as simulated in the lower Aswa basin, in Northern Uganda [100]. Inability to capture peaks in simulations was also recorded in a SWAT study conducted for assessing water availability for competing uses in Lesotho [101].…”
Section: Challenges and Advantages Of The Swat Model Applicationmentioning
confidence: 97%
“…However, when PBIAS is positive, it shows an underestimation of the model and negative values indicate an overestimation model bias (Gupta et al, 1999). The choice of PBIAS is justified by the fact that it is widely used in the literature and allows a more precise evaluation of the efficiency of the model (Coffey et al, 2004;Santhi et al, 2001;Chu et al, 2004;Gassman et al, 2007;Moriasi et al, 2007;Schuol et al, 2008b;Sintondji et al, 2008;Rollo, 2012;Vilaysane et al, 2015;Aouissi et al, 2016;Havrylenko et al, 2016, Maliehe et al, 2017Molina-Navarro et al, 2017). The NSE coefficient (equation ( 2)) varies from −∞ (for a very weak adjustment) to 1 (for a strong link between the observed and simulated values).…”
Section: Mcmcmentioning
confidence: 99%