2002
DOI: 10.1016/s1474-7065(02)00049-9
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Comparison of two different approaches of sensitivity analysis

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Cited by 479 publications
(315 citation statements)
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“…This process of calibration of SWAT, especially auto-calibrating algorithms, including the sensitivity analysis of parameters, has been the subject of many hydrological studies (Eckhardt and Arnold, 2001;Benaman et al, 2005;White and Chaubey, 2005;Cao et al, 2006;Bekele and Nicklow, 2007;Kannan et al, 2007). For example, Lenhart et al (2002) conducted a sensitivity analysis in SWAT whereby two approaches were considered as equivalent: one was to change the value of a given parameter by a fixed percentage of the initial value (Lenhart et al, 2002;White and Chaubey, 2005), and the other was to vary it by a fixed percentage of the valid parameter range (Lenhart et al, 2002). In both sensitivity analysis approaches, the greatest importance was attributed to soil parameters.…”
Section: G Wang and J Xiamentioning
confidence: 99%
See 1 more Smart Citation
“…This process of calibration of SWAT, especially auto-calibrating algorithms, including the sensitivity analysis of parameters, has been the subject of many hydrological studies (Eckhardt and Arnold, 2001;Benaman et al, 2005;White and Chaubey, 2005;Cao et al, 2006;Bekele and Nicklow, 2007;Kannan et al, 2007). For example, Lenhart et al (2002) conducted a sensitivity analysis in SWAT whereby two approaches were considered as equivalent: one was to change the value of a given parameter by a fixed percentage of the initial value (Lenhart et al, 2002;White and Chaubey, 2005), and the other was to vary it by a fixed percentage of the valid parameter range (Lenhart et al, 2002). In both sensitivity analysis approaches, the greatest importance was attributed to soil parameters.…”
Section: G Wang and J Xiamentioning
confidence: 99%
“…The redefined three parameters are related to the spatially distributed flow routing and the sensitive soil parameters (Lenhart et al, 2002). They are described as follows.…”
Section: Selected and Redefined Parameters For Calibrationmentioning
confidence: 99%
“…Instead, a negative value implies that the increase of input yields a decrease of the output. The sensitivity index was averaged for the whole simulation period and the sensitivity of the model output to each tested input parameter was ranked according to Table 3 as suggested by [54]. …”
Section: Sensitivity Analysismentioning
confidence: 99%
“…Fifteen sensitive parameters (six hydrologic parameters and nine water quality parameters) that may have a potential influence on river flow and water quality were selected (Table 2) (Arnold et al 1998;Eckhardt and Arnold 2001;Lenhart et al 2002;van Griensven et al 2006;BĂ€rlund et al 2007). The ranges of these parameters were obtained from the SWAT manual (Neitsch et al 2002 Several evaluation indices, including the relative error (re), correlation coefficient (r), and Nash-Sutcliffe coefficient (NSEC), were used to evaluate the model performance (Romanowicz et al 2005) (Table 3).…”
Section: Model Evaluationmentioning
confidence: 99%
“…N and P), climate change impact, sensitivity, and calibration and uncertainty analysis (Gassman et al 2007). After more than 10 years of development and improvement, some modified SWAT models have emerged, with notable examples including SWAT-G (Lenhart et al 2002), Extended SWAT (ESWAT) Bauwens 2003, 2005), and Soil and Water Integrated Model (SWIM) (Krysanova et al 1998(Krysanova et al , 2005. Wang et al (2008) developed several auxiliary tools for SWAT, such as the water quantity analysis tool, parameter calibration tool, scenario analysis tool, and result display interface, which are very useful to overcome the limitation of AVSWAT2000.…”
Section: Introductionmentioning
confidence: 99%