Statistical model for economic damage from pluvial flood in Japan using rainfall data and socio-economic parameters

Abstract

Abstract. The assessment of flood risk is important for policy makers to evaluate damage and for disaster preparation. Large population densities and high property concentration make cities more vulnerable to floods and having higher absolute damage per year. A number of major cities in the world suffer from flood inundation damage every year. In Japan, approximately JPY 100 billion in damage occurs annually due to pluvial flood only. The amount of damage was typically large in large cities, but regions with lower population density tended to have more damage per capita. Our statistical approach gives the probability of damage following every daily rainfall event and thereby the annual damage as a function of rainfall, population density, topographical slope, and gross domestic product. Our results for Japan show reasonable agreement with area-averaged annual damage for the period 1993–2009. We report a damage occurrence probability function and a damage cost function for pluvial flood damage, which makes this method flexible for use in future scenarios and also capable of being expanded to different regions.

Linking local vulnerability assessments to climatic hazard losses for river basin management

“…The second type focuses on bottom-up and data-based analysis, which often uses historical or survey data to characterize the disaster damage (Zahran et al, 2008;Bhattarai et al, 2015). This approach concentrates more on mapping the disaster damage distribution at national or regional levels.…”