气候变化领域集成服务门户(CCPortal): Modelling coincidence and dependence of flood hazard phenomena in a Probabilistic Flood Hazard Assessment (PFHA) framework: case study in Le Havre

CCPortal

DOI	10.1007/s11069-019-03845-4
	Modelling coincidence and dependence of flood hazard phenomena in a Probabilistic Flood Hazard Assessment (PFHA) framework: case study in Le Havre
	Ben Daoued A.; Mouhous-Voyneau N.; Hamdi Y.; Duluc C.-M.; Sergent P.
发表日期	2020
ISSN	0921030X
起始页码	1059
结束页码	1088
卷号	100 期号:3
英文摘要	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. © 2020, Springer Nature B.V.
关键词	Aggregation Coincidence Dependence Hazard curve Joint probability PFHA
英文关键词	flood control; flood damage; flooding; hazard assessment; numerical model; probability; risk assessment; English Channel; France; Le Havre; Normandie; Seine Maritime
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/205603
作者单位	Sorbonne University, Université de Technologie de Compiègne, EA7284 Avenues, Compiègne, 60203, France; Institute for Radiological Protection and Nuclear Safety, Fontenay-aux-Roses, France; Centre d’études et d’expertise sur les risques, l’environnement, la mobilité et l’aménagement (Cerema), Compiègne, France
推荐引用方式 GB/T 7714	Ben Daoued A.,Mouhous-Voyneau N.,Hamdi Y.,et al. Modelling coincidence and dependence of flood hazard phenomena in a Probabilistic Flood Hazard Assessment (PFHA) framework: case study in Le Havre[J],2020,100(3).
APA	Ben Daoued A.,Mouhous-Voyneau N.,Hamdi Y.,Duluc C.-M.,&Sergent P..(2020).Modelling coincidence and dependence of flood hazard phenomena in a Probabilistic Flood Hazard Assessment (PFHA) framework: case study in Le Havre.Natural Hazards,100(3).
MLA	Ben Daoued A.,et al."Modelling coincidence and dependence of flood hazard phenomena in a Probabilistic Flood Hazard Assessment (PFHA) framework: case study in Le Havre".Natural Hazards 100.3(2020).