Modelling coincidence and dependence of flood hazard phenomena in a Probabilistic Flood Hazard Assessment (PFHA) framework: case study in Le Havre

Amine Ben Daoued (), Nassima Mouhous-Voyneau, Yasser Hamdi, Claire-Marie Duluc and Philippe Sergent
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Amine Ben Daoued: Sorbonne University, Université de Technologie de Compiègne
Nassima Mouhous-Voyneau: Sorbonne University, Université de Technologie de Compiègne
Yasser Hamdi: Institute for Radiological Protection and Nuclear Safety
Claire-Marie Duluc: Institute for Radiological Protection and Nuclear Safety
Philippe Sergent: Centre d’études et d’expertise sur les risques, l’environnement, la mobilité et l’aménagement (Cerema)

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 100, issue 3, No 7, 1059-1088

Abstract: Abstract Many coastal urban areas and many coastal facilities must be protected against pluvial and marine floods, as their location near the sea is necessary. As part of the development of a Probabilistic Flood Hazard Approach (PFHA), several flood phenomena have to be modelled at the same time (or with an offset time) to estimate the contribution of each one. Modelling the combination and the dependence of several flooding sources is a key issue in the context of a PFHA. As coastal zones in France are densely populated, marine flooding represents a natural hazard threatening the coastal populations and facilities in several areas along the shore. Indeed, marine flooding is the most important source of coastal lowlands inundations. It is mainly generated by storm action that makes sea level rise above the tide. Furthermore, when combined with rainfall, coastal flooding can be more consequent. While there are several approaches to analyse and characterize marine flooding hazard with either extreme sea levels or intense rainfall, only few studies combine these two phenomena in a PFHA framework. Thus this study aims to develop a method for the analysis of a combined action of rainfall and sea level. This analysis is performed on the city of Le Havre, a French urban city on the English Channel coast, as a case study. In this work, we have used deterministic materials for rainfall and sea level modelling and proposed a new approach for estimating the probabilities of flooding.

Keywords: PFHA; Joint probability; Dependence; Coincidence; Hazard curve; Aggregation (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11069-019-03845-4

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