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

Related authors

Changes in flood damage with global warming on the eastern coast of Spain
Maria Cortès, Marco Turco, Philip Ward, Josep A. Sánchez-Espigares, Lorenzo Alfieri, and Maria Carmen Llasat
Nat. Hazards Earth Syst. Sci., 19, 2855–2877, https://doi.org/10.5194/nhess-19-2855-2019,https://doi.org/10.5194/nhess-19-2855-2019, 2019
Short summary

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Brief communication: Storm Daniel flood impact in Greece in 2023: mapping crop and livestock exposure from synthetic-aperture radar (SAR)
Kang He, Qing Yang, Xinyi Shen, Elias Dimitriou, Angeliki Mentzafou, Christina Papadaki, Maria Stoumboudi, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 2375–2382, https://doi.org/10.5194/nhess-24-2375-2024,https://doi.org/10.5194/nhess-24-2375-2024, 2024
Short summary
Risk reduction through managed retreat? Investigating enabling conditions and assessing resettlement effects on community resilience in Metro Manila
Hannes Lauer, Carmeli Marie C. Chaves, Evelyn Lorenzo, Sonia Islam, and Jörn Birkmann
Nat. Hazards Earth Syst. Sci., 24, 2243–2261, https://doi.org/10.5194/nhess-24-2243-2024,https://doi.org/10.5194/nhess-24-2243-2024, 2024
Short summary
Brief communication: Lessons learned and experiences gained from building up a global survey on societal resilience to changing droughts
Marina Batalini de Macedo, Marcos Roberto Benso, Karina Simone Sass, Eduardo Mario Mendiondo, Greicelene Jesus da Silva, Pedro Gustavo Câmara da Silva, Elisabeth Shrimpton, Tanaya Sarmah, Da Huo, Michael Jacobson, Abdullah Konak, Nazmiye Balta-Ozkan, and Adelaide Cassia Nardocci
Nat. Hazards Earth Syst. Sci., 24, 2165–2173, https://doi.org/10.5194/nhess-24-2165-2024,https://doi.org/10.5194/nhess-24-2165-2024, 2024
Short summary
Regional seismic risk assessment based on ground conditions in Uzbekistan
Vakhitkhan Alikhanovich Ismailov, Sharofiddin Ismatullayevich Yodgorov, Akhror Sabriddinovich Khusomiddinov, Eldor Makhmadiyorovich Yadigarov, Bekzod Uktamovich Aktamov, and Shuhrat Bakhtiyorovich Avazov
Nat. Hazards Earth Syst. Sci., 24, 2133–2146, https://doi.org/10.5194/nhess-24-2133-2024,https://doi.org/10.5194/nhess-24-2133-2024, 2024
Short summary
Unveiling transboundary challenges in river flood risk management: learning from the Ciliwung River basin
Harkunti Pertiwi Rahayu, Khonsa Indana Zulfa, Dewi Nurhasanah, Richard Haigh, Dilanthi Amaratunga, and In In Wahdiny
Nat. Hazards Earth Syst. Sci., 24, 2045–2064, https://doi.org/10.5194/nhess-24-2045-2024,https://doi.org/10.5194/nhess-24-2045-2024, 2024
Short summary

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. 
Download
Short summary
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.
Altmetrics
Final-revised paper
Preprint