A flood risk curve development for inundation disaster considering spatio-temporal rainfall distribution

To manage flood disaster with an exceeding designed level, flood risk control based on appropriate risk assessment is essential. To make an integrated economic risk assessment by flood disaster, a flood risk curve, which is a relation between flood inundation damage and its exceedance probability, p...

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Published inProceedings of the International Association of Hydrological Sciences Vol. 370; no. 370; pp. 57 - 62
Main Authors Tanaka, T., Tachikawa, Y., Yorozu, K.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Gottingen Copernicus GmbH 11.06.2015
Copernicus Publications
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ISSN2199-899X
2199-8981
2199-899X
DOI10.5194/piahs-370-57-2015

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Abstract To manage flood disaster with an exceeding designed level, flood risk control based on appropriate risk assessment is essential. To make an integrated economic risk assessment by flood disaster, a flood risk curve, which is a relation between flood inundation damage and its exceedance probability, plays an important role. This research purposes a method to develop a flood risk curve by utilizing a probability distribution function of annual maximum rainfall through rainfall-runoff and inundation simulations so that risk assessment can consider climate and socio-economic changes. Among a variety of uncertainties, the method proposed in this study considered spatio-temporal rainfall distributions that have high uncertainty for damage estimation. The method was applied to the Yura-gawa river basin (1882 km2) in Japan; and the annual economic benefit of an existing dam in the basin was successfully quantified by comparing flood risk curves with/without the dam.
AbstractList To manage flood disaster with an exceeding designed level, flood risk control based on appropriate risk assessment is essential. To make an integrated economic risk assessment by flood disaster, a flood risk curve, which is a relation between flood inundation damage and its exceedance probability, plays an important role. This research purposes a method to develop a flood risk curve by utilizing a probability distribution function of annual maximum rainfall through rainfall-runoff and inundation simulations so that risk assessment can consider climate and socio-economic changes. Among a variety of uncertainties, the method proposed in this study considered spatio-temporal rainfall distributions that have high uncertainty for damage estimation. The method was applied to the Yura-gawa river basin (1882 km2) in Japan; and the annual economic benefit of an existing dam in the basin was successfully quantified by comparing flood risk curves with/without the dam.
Author Tachikawa, Y.
Tanaka, T.
Yorozu, K.
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10.1016/j.jhydrol.2010.03.027
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StartPage 57
SubjectTerms Annual
Annual rainfall
Climate change
Damage assessment
Dams
Disasters
Distribution
Distribution functions
Economic benefits
Economics
Environmental risk
Flood control
Flood damage
Flood management
Flood risk
Floods
Hydraulics
Kinematics
Maximum rainfall
Probability distribution
Probability distribution functions
Probability theory
Rain
Rainfall distribution
Rainfall runoff
Rainfall simulators
Rainfall-runoff relationships
Risk assessment
Risk management
River basins
Runoff
Simulation
Socioeconomic aspects
Uncertainty
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