A consistent approach for probabilistic residential flood loss modeling in Europe

Lüdtke, Stefan, Schröter, Kai, Steinhausen, Max J. ORCID logoORCID: https://orcid.org/0000-0002-8692-8824, Weise, Laura, Figueiredo, Rui and Kreibich, Heidi (2019) A consistent approach for probabilistic residential flood loss modeling in Europe. Water Resources Research, 55 (12) . pp. 10616-10635. ISSN 0043-1397 [Article] (doi:10.1029/2019WR026213)

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In view of globally increasing flood losses, a significantly improved and more efficient flood risk management and adaptation policy are needed. One prerequisite is reliable risk assessments on the continental scale. Flood loss modeling and risk assessments for Europe are until now based on regional approaches using deterministic depth‐damage functions. Uncertainties associated with the risk estimation are hardly known. To reduce these shortcomings, we present a novel, consistent approach for probabilistic flood loss modeling for Europe, based on the upscaling of the Bayesian Network Flood Loss Estimation MOdel for the private sector, BN‐FLEMOps. The model is applied on the mesoscale in the whole of Europe and can be adapted to regional situations. BN‐FLEMOps is validated in three case studies in Italy, Austria, and Germany. The officially reported loss figures of the past flood events are within the 95% quantile range of the probabilistic loss estimation, for all three case studies. In the Italian, Austrian, and German case studies, the median loss estimate shows an overestimation by 28% (2.1 million euro) and 305% (5.8 million euro) and an underestimation by 43% (104 million euro), respectively. In two of the three case studies, the performance of the model improved, when updated with empirical damage data from the area of interest. This approach represents a step forward in European wide flood risk modeling, since it delivers consistent flood loss estimates and inherently provides uncertainty information. Further validation and tests with respect to adapting the model to different European regions are recommended.

Item Type: Article
Research Areas: A. > School of Science and Technology > Natural Sciences
Item ID: 34071
Notes on copyright: © 2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Depositing User: Max Steinhausen
Date Deposited: 05 Nov 2021 09:33
Last Modified: 25 Oct 2022 09:29
URI: https://eprints.mdx.ac.uk/id/eprint/34071

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