2012
DOI: 10.1007/s00477-012-0579-8
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The influence of parameter distribution uncertainty on hydrological and sediment modeling: a case study of SWAT model applied to the Daning watershed of the Three Gorges Reservoir Region, China

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Cited by 36 publications
(19 citation statements)
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“…But the way of generating new parameter ranges has its limitations. The parameter ranges are proposed to be measured or estimated according to watershed characteristics when data collection is possible (Zhenyao et al 2013). However, with the constraints of experiments, measured data are not available.…”
Section: Discussionmentioning
confidence: 99%
“…But the way of generating new parameter ranges has its limitations. The parameter ranges are proposed to be measured or estimated according to watershed characteristics when data collection is possible (Zhenyao et al 2013). However, with the constraints of experiments, measured data are not available.…”
Section: Discussionmentioning
confidence: 99%
“…Zhenyao et al . () studied the impact of parameter distribution uncertainty on hydrological modelling using SWAT and recommend use of any available knowledge of the watershed to aid selection of realistic parameter ranges to reduce prediction uncertainties. Besides the guidelines by van Griensven et al .…”
Section: Methodsmentioning
confidence: 99%
“…We focused on selection of realistic ranges of the model input parameter values in order to reduce uncertainty in the model outputs (Arnold et al, 2012). Selection of realistic ranges of SWAT input parameters prior to calibration has been shown to reduce model prediction uncertainties (Benaman and Shoemaker, 2004;Zhenyao et al, 2013). We particularly paid special attention to model parameters that govern the water 'loss' from the system e.g.…”
Section: Evaluation Of Model Performancementioning
confidence: 99%
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“…Parameterization is a critical part of any modeling analysis and has received considerable attention in the literature (Abbaspour et al, 2004;Romanowicz et al, 2005;Sexton et al, 2011;Zhenyao et al, 2013;Migliaccio and Chaubey, 2008;Cibin et al, 2010;Gitau and Chaubey, 2010;Du et al, 2013;Malone et al, 2015;Zhang et al, 2016). In this analysis, we investigated two parameterization designs:…”
Section: Parameterizationmentioning
confidence: 99%