Vulnerability to coastal flood hazard of residential buildings on Noirmoutier Island (France)

Créach, Axel; Chevillot‐Miot, Elie; Mercier, Denis; Pourinet, Laurent

doi:10.1080/17445647.2015.1027041

Cited by 18 publications

(12 citation statements)

References 13 publications

(35 reference statements)

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“…In coastal zones, floods mainly occur during high wave energy conditions and destructive storm events (Benavente, Del Río, Gracia, & Martínez‐del‐Pozo, ; Harley, ). Simple and straightforward GIS‐based bathtub flood mapping is often used (Aucelli et al, ; Benavente et al, ; Bernatchez, Fraser, Lefaivre, & Dugas, ; Creach, Chevillot‐miot, Mercier, & Pourinet, ; Di Paola et al, ; Poulter & Halpin, ) to create regional‐ to large‐scale flood maps in support of coastal risk assessment (Vousdoukas et al, ). Traditionally, total water levels (TWLs) including astronomical tide, storm surge, and wave runup/setup are overlaid on digital elevation models (DEM) until an equivalent topographic contour is reached (Breilh, Chaumillon, Bertin, & Gravelle, ; Orton et al, ; Patrick, Solecki, Jacob, Kunreuther, & Nordenson, ).…”

Section: Introductionmentioning

confidence: 99%

Multihazard simulation for coastal flood mapping: Bathtub versus numerical modelling in an open estuary, Eastern Canada

David

Baudry

Bernatchez

et al. 2018

J Flood Risk Management

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Funding informationFonds Québécois de la recherche sur la nature et les technologies; Québec Ministry of Public Security Coastlines along the St. Lawrence Estuary and Gulf, Eastern Canada, are under increasing risk of flooding due to sea level rise and sea ice shrinking. Efficient and validated regional-scale coastal flood mapping approaches that include storm surges and waves are hence required to better prepare for the increased hazard. This paper compares and validates two different flood mapping methods: numerical flood simulations using XBeach and bathtub mapping based on total water levels, forced with multihazard scenarios of compound wave and water level events. XBeach is validated with hydrodynamic measurements. Simulations of a historical storm event are performed and validated against observed flood data over ã 25 km long coastline using multiple fit metrics. XBeach and the bathtub method correctly predict flooded areas (66 and 78%, respectively), but the latter overpredicts the flood extent by 36%. XBeach is a slightly more robust flood mapping approach with a fit of 51% against 48% for the bathtub maps. Deeper floodwater by~0.5 m is expected with the bathtub approach, and more buildings are vulnerable to a 100-year flood level. For coastal management at regional-scale, despite similar flood extents with both flood mapping approaches, results suggest that numerical simulati on with XBeach outperforms bathtub flood mapping.

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Section: Introductionmentioning

confidence: 99%

Multihazard simulation for coastal flood mapping: Bathtub versus numerical modelling in an open estuary, Eastern Canada

David

Baudry

Bernatchez

et al. 2018

J Flood Risk Management

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“…First, an inherent limitation of the dataset used is the architectural type of house, which is used for the calculation of the third criterion of the index. It was obtained by [8]. This study performed field observations in order to determine the type of building.…”

Section: The Vie Index: Limits Of Datasets and Methodsmentioning

confidence: 99%

“…It is a low-lying area. Around 68% of the island would have been under water during storm Xynthia if it had not been protected [8]. The island is currently protected from the sea by a 24-km stretch of flood defences on the east coast and by a sand barrier on the west coast [9].…”

Section: Noirmoutier Island: a Low-lying Areamentioning

confidence: 99%

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Vulnerability and costs of adaptation strategies for housing subjected to flood risks: Application to La Guérinière France

Créach¹,

Bastidas‐Arteaga²,

Pardo³

et al. 2020

Marine Policy

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Coastal flooding along the Atlantic coast caused by Storm Xynthia killed 41 people. The location and configuration of residential housing were the main factors affecting the vulnerability of people to flooding. The French government responded by destroying buildings in the most flood-prone areas and relocating residents to safer areas. This strategy attracted much criticism, in particular because of the high costs involved with demolition on this scale, and that not insufficient consideration was given to other possible solutions. In this study, the goal is to compare different adaptation strategies in terms of cost of implementation and efficiency in order to reduce the vulnerability of houses to flooding. The strategies are grouped based on: (i) protection, (ii) relocation, (iii) housing architectural adaptation, and (iv) preventive warning and evacuation. This work is applied to La Guérinière, an Atlantic coastal town at risk of coastal flooding, although it was not impacted by Storm Xynthia. The initial results show that the most efficient strategy to reduce housing vulnerability to coastal flooding is also the most expensive. Ranked from the most to the least efficient and expensive, the strategies are as follows: (i) relocation, (ii) housing architectural adaptation, (iii) protection, (iv) and preventive warning and evacuation. Until now, these strategies have been limited as they omit human behaviour in response to coastal flooding scenarios. Therefore, this study examines the role of human behaviour in relation to different mitigative strategies. The efficiency and costs of the strategies are then reappraised.

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“…A review of the concept of vulnerability to floods also shows diverse conceptual frameworks that emphasize its multidimensional character [37][38][39][40], comprising physical, social, economic and environmental dimensions [41][42][43][44][45][46][47][48][49][50][51]. Consideration of the social dimension is one of the most common approaches in vulnerability studies.…”

Section: Introductionmentioning

confidence: 99%

Social Vulnerability Assessment for Flood Risk Analysis

Tascón-González

Ferrer-Juliá

Ruiz

et al. 2020

Water

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This paper proposes a methodology for the analysis of social vulnerability to floods based on the integration and weighting of a range of exposure and resistance (coping capacity) indicators. It focuses on the selection and characteristics of each proposed indicator and the integration procedure based on the analytic hierarchy process (AHP) on a large scale. The majority of data used for the calculation of the indicators comes from open public data sources, which allows the replicability of the method in any area where the same data are available. To demonstrate the feasibility of the method, a study case is presented. The flood social vulnerability assessment focuses on the municipality of Ponferrada (Spain), a medium-sized town that has high exposure to floods due to potential breakage of the dam located upstream. A detailed mapping of the social vulnerability index is generated at the urban parcel scale, which shows an affected population of 34,941 inhabitants. The capability of working with such detailed units of analysis for an entire medium-sized town provides a valuable tool to support flood risk planning and management.

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Vulnerability to coastal flood hazard of residential buildings on Noirmoutier Island (France)

Cited by 18 publications

References 13 publications

Multihazard simulation for coastal flood mapping: Bathtub versus numerical modelling in an open estuary, Eastern Canada

Multihazard simulation for coastal flood mapping: Bathtub versus numerical modelling in an open estuary, Eastern Canada

Vulnerability and costs of adaptation strategies for housing subjected to flood risks: Application to La Guérinière France

Social Vulnerability Assessment for Flood Risk Analysis

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