A FLOOD RISK CURVE DEVELOPMENT USING CONDITIONAL PROBABILITY DISTRIBUTION OF RAINFALL ON DURATION
Tomohiro Tanaka, Yasuto Tachikawa, Yutaka ICHIKAWA, Kazuaki YOROZU
Abstract
Open-access reader
Tomohiro Tanaka, Yasuto Tachikawa, Yutaka ICHIKAWA, Kazuaki YOROZU
Abstract
Open-access reader
To design integrated flood risk management, flood risk assessment based on the economic damage is essential. In previous studies, the authors have developed a method to estimate a flood risk curve considering spatio-temporal distribution of rainfall by applying the Synthesis Probability Method (SPM) that estimates probability function of annual maximum flood peak discharge (AMF). Recently, the SPM was improved by introducing the relation between total rainfall and the duration time, and the estimated probability distribution of AMF with the improved SPM showed a better agreement with the probability distribution of observed AMF. This study extended the improved SPM to flood risk curve development and estimated a flood risk curve of the Ayabe city in the Yura-gawa River basin.
OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
To design integrated flood risk management, flood risk assessment based on the economic damage is essential. In previous studies, the authors have developed a method to estimate a flood risk curve considering spatio-temporal distribution of rainfall by applying the Synthesis Probability Method (SPM) that estimates probability function of annual maximum flood peak discharge (AMF). Recently, the SPM was improved by introducing the relation between total rainfall and the duration time, and the estimated probability distribution of AMF with the improved SPM showed a better agreement with the probability distribution of observed AMF. This study extended the improved SPM to flood risk curve development and estimated a flood risk curve of the Ayabe city in the Yura-gawa River basin.
Key concepts: Flood myth, 100-year flood, Probability distribution, Environmental science, Conditional probability, Probability density function, Distribution (mathematics), Hydrology (agriculture)