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Volume 18, issue 3 | Copyright

Special issue: Damage of natural hazards: assessment and mitigation

Nat. Hazards Earth Syst. Sci., 18, 857-868, 2018
https://doi.org/10.5194/nhess-18-857-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 16 Mar 2018

Research article | 16 Mar 2018

The relationship between precipitation and insurance data for floods in a Mediterranean region (northeast Spain)

Maria Cortès1,2, Marco Turco1, Montserrat Llasat-Botija1,2, and Maria Carmen Llasat1,2 Maria Cortès et al.
  • 1Department of Applied Physics, University of Barcelona, Barcelona, 08028, Spain
  • 2Water Research Institute (IdRA), University of Barcelona, Barcelona, 08001, Spain

Abstract. Floods in the Mediterranean region are often surface water floods, in which intense precipitation is usually the main driver. Determining the link between the causes and impacts of floods can make it easier to calculate the level of flood risk. However, up until now, the limitations in quantitative observations for flood-related damages have been a major obstacle when attempting to analyse flood risk in the Mediterranean. Flood-related insurance damage claims for the last 20 years could provide a proxy for flood impact, and this information is now available in the Mediterranean region of Catalonia, in northeast Spain. This means a comprehensive analysis of the links between flood drivers and impacts is now possible. The objective of this paper is to develop and evaluate a methodology to estimate flood damages from heavy precipitation in a Mediterranean region. Results show that our model is able to simulate the probability of a damaging event as a function of precipitation. The relationship between precipitation and damage provides insights into flood risk in the Mediterranean and is also promising for supporting flood management strategies.

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The aim of this study is to develop and evaluate a methodology to estimate surface water flood damages from heavy precipitation in the Mediterranean region of study. The relationship between precipitation and insurance data has been assessed, using logistic regression models, to assess the probability of large monetary damages in relation to heavy precipitation events. Results show that our model is able to simulate the probability of a damaging event as a function of precipitation.
The aim of this study is to develop and evaluate a methodology to estimate surface water flood...
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