A statistical analysis of insurance damage claims related to rainfall extremes
A statistical analysis of insurance damage claims related to rainfall extremes
In this paper, a database of water-related insurance damage claims related to private properties and content was analysed. The aim was to investigate whether the probability of occurrence of rainfall-related damage was associated with the intensity of rainfall. Rainfall data were used for the period of 2003–2009 in the Netherlands based on a network of 33 automatic rain gauges operated by the Royal Netherlands Meteorological Institute. Insurance damage data were aggregated to areas within 10-km range of the rain gauges. Through a logistic regression model, high claim numbers were linked to maximum rainfall intensities, with rainfall intensity based on 10-min to 4-h time windows. Rainfall intensity proved to be a significant damage predictor; however, the explained variance, approximated by a pseudo-R2 statistic, was at most 34% for property damage and at most 30% for content damage. When directly comparing predicted and observed values, the model was able to predict 5–17% more cases correctly compared to a random prediction. No important differences were found between relations with property and content damage data. A considerable fraction of the variance is left unexplained, which emphasizes the need to study damage generating mechanisms and additional explanatory variables.
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Berne, A., Delrieu, G., Creutin, J.-D., and Obled, C.: Temporal and spatial resolution of rainfall measurements required for urban hydrology, J. Hydrol., 299, 166-179, 10.1016/j.jhydrol.2004.08.002, 2004.
Blanc, J., Hall, J., Roche, N., Dawson, R., Cesses, Y., Burton, A., and Kilsby, C.: Enhanced efficiency of pluvial flood risk estimation in urban areas using spatial-temporal rainfall simulations, J. Flood Risk Manage., doi:10.1111/j.1753-318X.2012.01135.x, 2012.
Coulthard, T. and Frostick, L.: The Hull floods of 2007: implications for the governance and management of urban drainage systems, J. Flood Risk Manage., 3, 223-231, doi:10.1111/j.1753- 318X.2010.01072.x, 2010.
De Moel, H. and Aerts, J. C. J. H.: Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates, Nat. Hazards, 58, 407-425, doi:10.1007/s11069-010- 9675-6, 2011.
Douglas, I., Garvin, S., Lawson, N., Richards, J., Tippett, J., and White, I.: Urban pluvial flooding: a qualitative case study of cause, effect and nonstructural mitigation, J. Flood Risk Manage., 3, 112-125, doi:10.1111/j.1753-318X.2010.01061.x, 2010.
Elmer, F., Seifert, I., Kreibich, H., and Thieken, A. H.: A delphi method expert survey to derive standards for flood damage data collection, Risk Analysis, 30, 107-124, doi:10.1111/j.1539- 6924.2009.01325.x, 2010.
Ernst, J., Dewals, B., Archambeau, P., Detrembleur, S., Erpicum, S., and Pirotton, M.: Integration of accurate 2D inundation modelling, vector land use database and economic damage evaluation, in: Flood Risk Management: Research and Practice, Proceedings of the European Conference on Flood Risk Management - Flood Risk 2008, Balkema, Rotterdam, 1643-1653, 2008. [OpenAIRE]
Falconer, R. H., Cobby, D., Smyth, P., Astle, G., Dent, J., and Golding, B.: Pluvial flooding: new approaches in flood warning, mapping and risk management, J. Flood Risk Manage., 2, 198-208, doi:10.1111/j.1753-318X.2009.01034.x, 2009.
Freni, G., La Loggia, G., and Notaro, V.: Uncertainty in urban flood damage assessment due to urban drainage modelling and depthdamage curve estimation, Water Sci. Technol., 61, 2979-2993, 2010. [OpenAIRE]
Hurford, A. P., Parker, D. J., Priest, S. J., and Lumbroso, D. M.: Validating the return period of rainfall thresholds used for Extreme rainfall alerts by linking rainfall intensities with observed surface water flood events, J. Flood Risk Manage., 5, 134-142, doi:10.1111/j.1753-318X.2012.01133.x, 2012a.
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