Articles | Volume 16, issue 5
https://doi.org/10.5194/nhess-16-1063-2016
https://doi.org/10.5194/nhess-16-1063-2016
Research article
 | 
10 May 2016
Research article |  | 10 May 2016

Statistical model for economic damage from pluvial floods in Japan using rainfall data and socioeconomic parameters

Rajan Bhattarai, Kei Yoshimura, Shinta Seto, Shinichiro Nakamura, and Taikan Oki

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Cited articles

Apel, H., Aronica, G. T., Kreibich, H., and Thieken, A. H.: Flood risk analyses – how detailed do we need to be?, Nat. Hazards, 49, 79–98, https://doi.org/10.1007/s11069-008-9277-8, 2009.
Asian Development Bank: Investing in resilience: Ensuring a disaster-resistant future, Mandaluyong City, Philippines, available at: www.adb.org, last access: 16 October 2013.
Baddiley, P.: The flood risk in Cairns, Nat. Hazards, 30, 155–164, https://doi.org/10.1023/A:1026114316844, 2003.
Bouwer, L. M.: Projections of future extreme weather losses under changes in climate and exposure, Risk Anal., 33, 915–930, https://doi.org/10.1111/j.1539-6924.2012.01880.x, 2013.
Cardona, O. D.: Indicators of disaster risk and risk management. Program for Latin America and The Caribbean, Washington DC, available at: http://www.iadb.org/exr/disaster/pvi.cfm?language=EN&parid=4, last access: 17 October 2013, 2007.
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Short summary
The assessment of flood risk is important for policymakers to evaluate flood damage and for disaster preparation. Large population densities and high property concentration make cities more vulnerable to floods and have higher damage per year. In Japan, about one billion USD in damage occurs annually due to floods related to rainfall only. In this paper, we report a damage occurrence probability function and a damage cost function for pluvial flood damage to estimate annual flood damage.
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