Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model

被引:119
作者
Zadeh, Farkhondeh Khorashadi [1 ]
Nossent, Jiri [1 ,2 ]
Sarrazin, Fanny [3 ]
Pianosi, Francesca [3 ]
van Griensven, Ann [1 ,4 ]
Wagener, Thorsten [3 ,5 ]
Bauwens, Willy [1 ]
机构
[1] Vrije Univ Brussel VUB, Dept Hydrol & Hydraul Engn, Pl Laan 2, B-1050 Brussels, Belgium
[2] Flemish Govt, Dept Mobil & Publ Works, Flanders Hydraul Res, Antwerp, Belgium
[3] Univ Bristol, Dept Civil Engn, Bristol BS8 1TR, Avon, England
[4] UNESCO IHE Inst Water Educ, Core Hydrol & Water Resources, Delft, Netherlands
[5] Univ Bristol, Cabot Inst, Royal Ft House, Bristol BS8 1UJ, Avon, England
基金
英国自然环境研究理事会;
关键词
Global sensitivity analysis; Moment-independent method; Variance-based method; PAWN; Sobol'; SWAT; WATER ASSESSMENT-TOOL; AUTOMATIC CALIBRATION; ENVIRONMENTAL-MODELS; UNCERTAINTY; IDENTIFIABILITY; OPTIMIZATION; CONVERGENCE; PARAMETERS; NORMALITY; SOIL;
D O I
10.1016/j.envsoft.2017.02.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Global Sensitivity Analysis (GSA) is an essential technique to support the calibration of environmental models by identifying the influential parameters (screening) and ranking them. In this paper, the widely-used variance-based method (Sobol') and the recently proposed moment independent PAWN method for GSA are applied to the Soil and Water Assessment Tool (SWAT), and compared in terms of ranking and screening results of 26 SWAT parameters. In order to set a threshold for parameter screening, we propose the use of a "dummy parameter", which has no influence on the model output. The sensitivity index of the dummy parameter is calculated from sampled data, without changing the model equations. We find that Sobol' and PAWN identify the same 12 influential parameters but rank them differently, and discuss how this result may be related to the limitations of the Sobol' method when the output distribution is asymmetric. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:210 / 222
页数:13
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