Analysis and quantification of potential consequences in multirisk coastal context at different spatial scales (Normandy, France)

K. Graff (), C. Lissak (), Y. Thiery (), O. Maquaire (), S. Costa () and B. Laignel ()
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K. Graff: CNRS, LETG-Caen
C. Lissak: CNRS, LETG-Caen
Y. Thiery: BRGM (French Geological Survey) Risk and Prevention Division
O. Maquaire: CNRS, LETG-Caen
S. Costa: CNRS, LETG-Caen
B. Laignel: CNRS, M2C-Rouen

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2019, vol. 99, issue 2, No 2, 637-664

Abstract: Abstract Coastal environment with high interaction between nature and societies is subject to multi-hazard interaction such as landslides, flood or cliff retreat. These territories are characterized by numerous elements at risk located in valley bottoms, front sea or at the outlets of small dry watershed. The aim is to quantify the potential consequences of EaR by integrating multiple hazards exposure at various scale analyses. To quantify the element at risk, three steps have been required. First, an initial rank has been attributed to each class of element at risk at three different scales analysis. Second, the potential consequences are weighted according to environmental dimension. Third, the consequences are combined with a linear combination of criteria in GIS environment. At medium-scale analysis, element at risk highlighted is built-up areas, national road, railway, lifeline and urban centers. At large-scale analysis, consequences concern any kind of house, apartment and complex located on multiple exposure areas. At local scale, consequences concern buildings located on multiple exposure areas with one floor in mixed materials and built after 1980. Thus, this method proposes an approach with multiple scales analysis and by integrating multiple exposure areas to quantify potential consequences. With the environmental dimension in element at risk analysis, it is an intermediate step to traditional risk analysis and, more specifically multirisk analysis without considering in this case the spatial and temporal dimension of hazards.

Keywords: Consequences; Element at risk; Spatial scale; Weighting; Multi-criteria (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11069-019-03763-5

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