Multi-Method Global Sensitivity Analysis of Flood Inundation Models
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.
PAPPENBERGER Florian;
BEVEN Keith;
RATTO Marco;
MATGEN Patrick;
2007-12-13
ELSEVIER SCI LTD
JRC40464
0309-1708,
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&_cdi=5953&_sort=d&_docanchor,
https://publications.jrc.ec.europa.eu/repository/handle/JRC40464,
10.1016/j.advwatres.2007.04.009,
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