Articles | Volume 20, issue 11
https://doi.org/10.5194/nhess-20-2997-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-2997-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Nov 2020
Research article |
| 09 Nov 2020
| 09 Nov 2020
Are flood damage models converging to “reality”? Lessons learnt from a blind test
Daniela Molinari
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
Anna Rita Scorzini
CORRESPONDING AUTHOR
Department of Civil, Environmental and Architectural Engineering, University of L'Aquila, Via Gronchi 18, 67100 L'Aquila, Italy
Chiara Arrighi
Department of Civil and Environmental Engineering, University of Florence, Piazza San Marco 4, 50121 Florence, Italy
Francesca Carisi
Department of Civil, Chemical, Environmental and Material Engineering, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Fabio Castelli
Department of Civil and Environmental Engineering, University of Florence, Piazza San Marco 4, 50121 Florence, Italy
Alessio Domeneghetti
Department of Civil, Chemical, Environmental and Material Engineering, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Alice Gallazzi
Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
Marta Galliani
Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
Frédéric Grelot
G-EAU, Univ Montpellier, AgroParisTech, CIRAD, IRD, INRAE, Montpellier SupAgro, Montpellier, France
Patric Kellermann
GFZ German Research Centre for Geosciences, Section Hydrology, Telegrafenberg, 14473 Potsdam, Germany
Heidi Kreibich
GFZ German Research Centre for Geosciences, Section Hydrology, Telegrafenberg, 14473 Potsdam, Germany
Guilherme S. Mohor
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam, Germany
Markus Mosimann
Institute of Geography, Mobiliar Lab for Natural Risks, Oeschger Centre for Climate Change Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
Stephanie Natho
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam, Germany
Claire Richert
G-EAU, Univ Montpellier, AgroParisTech, CIRAD, IRD, INRAE, Montpellier SupAgro, Montpellier, France
Kai Schroeter
GFZ German Research Centre for Geosciences, Section Hydrology, Telegrafenberg, 14473 Potsdam, Germany
Annegret H. Thieken
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam, Germany
Andreas Paul Zischg
Institute of Geography, Mobiliar Lab for Natural Risks, Oeschger Centre for Climate Change Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
Francesco Ballio
Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
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- Historical comparison of the damage caused by the propagation of a dam break wave in a pre-alpine valley R. Bonomelli et al. 10.1016/j.ejrh.2023.101467
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- Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector P. Brémond et al. 10.5194/nhess-22-3385-2022
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- A Zero-Order Flood Damage Model for Regional-Scale Quick Assessments A. Pogliani et al. 10.3390/w13091292
- Bayesian Data-Driven approach enhances synthetic flood loss models N. Sairam et al. 10.1016/j.envsoft.2020.104798
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- Integrated Flood Impact and Vulnerability Assessment Using a Multi-Sensor Earth Observation Mission with the Perspective of an Operational Service in Lombardy, Italy M. Righini et al. 10.3390/land13020140
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- Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. 10.1007/s11069-024-06756-1
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- Residential building flood damage: Insights on processes and implications for risk assessments R. Paulik et al. 10.1111/jfr3.12832
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
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- Flood Vulnerability Analysis in Urban Context: A Socioeconomic Sub-Indicators Overview V. Bigi et al. 10.3390/cli9010012
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- Enhancing Flood Management Through Machine Learning: A Comprehensive Analysis of the CatBoost Application O. O. I. et al. 10.38124/ijisrt/IJISRT24JUN1770
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- Evaluating the spatial application of multivariable flood damage models R. Paulik et al. 10.1111/jfr3.12934
- Estimating direct economic impacts of severe flood events in Turkey (2015–2020) G. Koç et al. 10.1016/j.ijdrr.2021.102222
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- Tidal Flood Risk on Salt Farming: Evaluation of Post Events in the Northern Part of Java Using a Parametric Approach A. Nirwansyah & B. Braun 10.3390/geosciences11100420
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Latest update: 20 Nov 2024
Short summary
Flood risk management requires a realistic estimation of flood losses. However, the capacity of available flood damage models to depict real damages is questionable. With a joint effort of eight research groups, the objective of this study was to compare the performances of nine models for the estimation of flood damage to buildings. The comparison provided more objective insights on the transferability of the models and on the reliability of their estimations.
Flood risk management requires a realistic estimation of flood losses. However, the capacity of...
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