Articles | Volume 18, issue 3
https://doi.org/10.5194/nhess-18-857-2018
https://doi.org/10.5194/nhess-18-857-2018
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 Cortès, Marco Turco, Montserrat Llasat-Botija, and Maria Carmen Llasat

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Cited articles

Amaro, J., Gayà, M., Aran, M., and Llasat, M. C.: Preliminary results of the Social Impact Research Group of MEDEX: the request database (2000–2002) of two Meteorological Services, Nat. Hazards Earth Syst. Sci., 10, 2643–2652, https://doi.org/10.5194/nhess-10-2643-2010, 2010. 
Barbería, L., Amaro, J., Aran, M., and Llasat, M. C.: The role of different factors related to social impact of heavy rain events: considerations about the intensity thresholds in densely populated areas, Nat. Hazards Earth Syst. Sci., 14, 1843–1852, https://doi.org/10.5194/nhess-14-1843-2014, 2014. 
Barnolas, M. and Llasat, M. C.: A flood geodatabase and its climatological applications: the case of Catalonia for the last century, Nat. Hazards Earth Syst. Sci., 7, 271–281, https://doi.org/10.5194/nhess-7-271-2007, 2007. 
Barredo, J. I.: Normalised flood losses in Europe: 1970–2006, Nat. Hazards Earth Syst. Sci., 9, 97–104, https://doi.org/10.5194/nhess-9-97-2009, 2009. 
Barredo, J. I., Saurí, D., and Llasat, M. C.: Assessing trends in insured losses from floods in Spain 1971–2008, Nat. Hazards Earth Syst. Sci., 12, 1723–1729, https://doi.org/10.5194/nhess-12-1723-2012, 2012. 
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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.
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