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

作者: Rajan Bhattarai , Kei Yoshimura , Shinta Seto , Shinichiro Nakamura , Taikan Oki

DOI: 10.5194/NHESS-16-1063-2016

关键词:

摘要: Abstract. The assessment of flood risk is important for policymakers to evaluate damage and disaster preparation. Large population densities high property concentration make cities more vulnerable floods having higher absolute per year. A number major in the world suffer from inundation every In Japan, approximately USD 1 billion occurs annually due pluvial only. amount was typically large cities, but regions with lower density tended have capita. Our statistical approach gives probability following daily rainfall event thereby annual as a function rainfall, density, topographical slope gross domestic product. results Japan show reasonable agreement area-averaged period 1993–2009. We report occurrence cost damage, which makes this method flexible use future scenarios also capable being expanded different regions.

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