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Estimation of insurance-related losses resulting from coastal flooding in France

Abstract : A model has been developed in order to estimate insurance-related losses caused by coastal flooding in France. The deterministic part of the model aims at identifying the potentially flood-impacted sectors and the subsequent insured losses a few days after the occurrence of a storm surge event on any part of the French coast. This deter-ministic component is a combination of three models: a hazard model, a vulnerability model, and a damage model. The first model uses the PREVIMER system to estimate the water level resulting from the simultaneous occurrence of a high tide and a surge caused by a meteorological event along the coast. A storage-cell flood model propagates these water levels over the land and thus determines the probable inundated areas. The vulnerability model, for its part, is derived from the insurance schedules and claims database, combining information such as risk type, class of business, and insured values. The outcome of the vulnerability and hazard models are then combined with the damage model to estimate the event damage and potential insured losses. This system shows satisfactory results in the estimation of the magnitude of the known losses related to the flood caused by the Xyn-thia storm. However, it also appears very sensitive to the water height estimated during the flood period, conditioned by the junction between seawater levels and coastal topography, the accuracy for which is still limited by the amount of information in the system.
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Soumis le : mercredi 20 janvier 2016 - 14:17:19
Dernière modification le : mercredi 3 août 2022 - 04:03:24
Archivage à long terme le : : jeudi 21 avril 2016 - 11:12:45


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Jean Philippe Naulin, D. Moncoulon, Sylvestre Le Roy, Rodrigo Pedreros, Déborah Idier, et al.. Estimation of insurance-related losses resulting from coastal flooding in France. Natural Hazards and Earth System Sciences, Copernicus Publ. / European Geosciences Union, 2016, ⟨10.5194/nhess-16-195-2016⟩. ⟨hal-01259447⟩



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