Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 91, Issue -, Pages 210-222Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2017.02.001
Keywords
Global sensitivity analysis; Moment-independent method; Variance-based method; PAWN; Sobol'; SWAT
Categories
Funding
- University of Bristol Alumni Postgraduate Scholarship
- Natural Environment Research Council (Consortium on Risk in the Environment: Diagnostics, Integration, Benchmarking, Learning and Elicitation (CREDIBLE) [NE/J017450/1]
- Flanders Hydraulics Research
- NERC [NE/J017450/1] Funding Source: UKRI
- Natural Environment Research Council [NE/J017450/1] Funding Source: researchfish
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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.
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