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Multi-method global sensitivity analysis of flood inundation models.

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Multi-method global sensitivity analysis of flood inundation models. / Pappenberger, Florian; Beven, Keith J.; Ratto, Marco et al.
In: Advances in Water Resources, Vol. 31, No. 1, 01.2008, p. 1-14.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Pappenberger, F, Beven, KJ, Ratto, M & Matgen, P 2008, 'Multi-method global sensitivity analysis of flood inundation models.', Advances in Water Resources, vol. 31, no. 1, pp. 1-14. https://doi.org/10.1016/j.advwatres.2007.04.009

APA

Pappenberger, F., Beven, K. J., Ratto, M., & Matgen, P. (2008). Multi-method global sensitivity analysis of flood inundation models. Advances in Water Resources, 31(1), 1-14. https://doi.org/10.1016/j.advwatres.2007.04.009

Vancouver

Pappenberger F, Beven KJ, Ratto M, Matgen P. Multi-method global sensitivity analysis of flood inundation models. Advances in Water Resources. 2008 Jan;31(1):1-14. doi: 10.1016/j.advwatres.2007.04.009

Author

Pappenberger, Florian ; Beven, Keith J. ; Ratto, Marco et al. / Multi-method global sensitivity analysis of flood inundation models. In: Advances in Water Resources. 2008 ; Vol. 31, No. 1. pp. 1-14.

Bibtex

@article{fa3695b51ab2405f8eb5389310027fdd,
title = "Multi-method global sensitivity analysis of flood inundation models.",
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.",
author = "Florian Pappenberger and Beven, {Keith J.} and Marco Ratto and Patrick Matgen",
note = "Global sensitivity analysis; Flood modelling; Uncertainty; Inundation model; Decision support; Flood risk",
year = "2008",
month = jan,
doi = "10.1016/j.advwatres.2007.04.009",
language = "English",
volume = "31",
pages = "1--14",
journal = "Advances in Water Resources",
publisher = "Elsevier Limited",
number = "1",

}

RIS

TY - JOUR

T1 - Multi-method global sensitivity analysis of flood inundation models.

AU - Pappenberger, Florian

AU - Beven, Keith J.

AU - Ratto, Marco

AU - Matgen, Patrick

N1 - Global sensitivity analysis; Flood modelling; Uncertainty; Inundation model; Decision support; Flood risk

PY - 2008/1

Y1 - 2008/1

N2 - 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.

AB - 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.

U2 - 10.1016/j.advwatres.2007.04.009

DO - 10.1016/j.advwatres.2007.04.009

M3 - Journal article

VL - 31

SP - 1

EP - 14

JO - Advances in Water Resources

JF - Advances in Water Resources

IS - 1

ER -