Title: Multi-Method Global Sensitivity Analysis of Flood Inundation Models
Citation: ADVANCES IN WATER RESOURCES vol. 31 no. 1 p. 1-14
Publication Year: 2008
JRC N°: JRC40464
ISSN: 0309-1708
URI: http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VCF-4NT84WP-1&_user=4900406&_coverDate=01%2F31%2F2008&_rdoc=1&_fmt=full&_orig=browse&_srch=doc-info(%23toc%235953%232008%23999689998%23674288%23FLA%23display%23Volume)&_cdi=5953&_sort=d&_docanchor
DOI: 10.1016/j.advwatres.2007.04.009
Type: Articles in periodicals and books
Abstract: Global sensitivity analysis is a valuable tool in understanding flood inundation models and deriving decisions on strategies to reduce model uncertainty. In this paper, a sensitivity analysis of a one-dimensional flood inundation model (HEC-RAS) on the River Alzette, Luxembourg, is presented. It is impossible to define sensitivity in a unique way and different methods can lead to a difference in ranking of importance of model factors. In this paper five different methods (Sobol, Kullback-Leibler entropy, Morris, regionalised sensitivity analysis and regression) are applied and the outcomes on selected examples compared. It is demonstrated that the different methods lead to completely different ranking of importance of the parameter factors and that it is impossible to draw firm conclusions about the relative sensitivity of different factors. Moreover, the uncertainty inherent in the sensitivity methods is highlighted.
JRC Directorate:Space, Security and Migration

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