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Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model
Khorashadi Zadeh, F.; Nossent, J.; Sarrazin, F.; Pianosi, F.; Van Griensven, A.; Wagener, T.; Bauwens, W. (2017). Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model. Environ. Model. Softw. 91: 210-222. https://dx.doi.org/10.1016/j.envsoft.2017.02.001
In: Environmental Modelling & Software. Elsevier: Oxford. ISSN 1364-8152; e-ISSN 1873-6726
Peer reviewed article  
Available in  Authors 
    Waterbouwkundig Laboratorium: Non-open access 299677 [ request ]
Author keywords
    Global sensitivity analysis;Moment-independent method; Variance-based method; PAWN; Sobol'; SWAT
Authors  Top 
  • Khorashadi Zadeh, F.
  • Nossent, J.
  • Sarrazin, F.
  • Pianosi, F.
  • Van Griensven, A.
  • Wagener, T.
  • Bauwens, W.
Abstract
    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.

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