A comparative analysis of flood damage models: lessons learnt and future challenges

Chiara Arrighi (1) , Francesco Ballio (2) , Francesca Carisi (3) , Fabio Castelli (1) , Alessio Domeneghetti (3) , Alice Gallazzi (2) , Marta Galliani (2) , Frédéric Grelot (4) , Patric Kellermann (5) , Heidi Kreibich (5) , Daniela Molinari (2) , Guilherme S Mohor (6) , Markus Mosimann (7) , Stephanie Natho (6) , Claire Richert (4) , Kai Schröter (5) , Anna Rita Scorzini (8) , Annegret H Thieken (6) , Andreas Paul Zischg (7)

1 UniFI - Università degli Studi di Firenze = University of Florence = Université de Florence
2 DICA - Dipartimento di Ingegneria Civile e Ambientale
3 DICAM - Department of Civil Chemical Environmental and Materials Engineering [Bologna]
4 UMR G-EAU - Gestion de l'Eau, Acteurs, Usages
5 GFZ - German Research Centre for Geosciences - Helmholtz-Centre Potsdam
6 University of Potsdam = Universität Potsdam
7 UNIBE - Universität Bern / University of Bern
8 DICEAA - Dipartimento di Ingegneria Civile, Edile-Architettura, Ambientale

Flood damage assessment is crucial to address the challenges of climate and socioeconomic changes. Researchers and practitioners have developed several damage models to tackle local and regional situations. Particularly for direct damages to the residential sector, these models rely on numerous hypothesis (e.g. zero damage threshold) and parameters (e.g. recovery costs) assumed to fit specific local conditions and available data. Thus, transferability of damage models and reliability of observed losses have become key topics in the debate.This work aims at understanding the behaviour of different residential building damage models through their application to a case study in order to compare assumptions, estimated exposure values and losses. The research work is designed as a "blind" exercise where different research groups make a damage assessment starting from the same building dataset. Nine models are applied to estimate exposure and damage at the single-building scale. The results are compared in terms of exposure values, total damage and individual building damage. Although damage models differ in assumptions and parameters, the application highlights a good correlation among models in terms of exposure and relative damage, while correlation with monetary damage recorded in claims is low.

Domaines: Sciences de l'environnement

Chiara Arrighi, Francesco Ballio, Francesca Carisi, Fabio Castelli, Alessio Domeneghetti, et al.. A comparative analysis of flood damage models: lessons learnt and future challenges. FLOODrisk 2020 - 4th European Conference on Flood Risk Management, Jun 2021, Online, France. pp.null-null, ⟨10.3311/floodrisk2020.9.15⟩. ⟨hal-03382834⟩