Impact of temporal rainfall patterns on flash floods in Hue City, Vietnam

Urban flooding is a perennial problem, especially in developing countries with relatively weak infrastructure under ever‐increasing stress due to climate change and human activities. We simulate the temporally variable flood‐water depth and inundation area under four designed rainfall patterns in th...

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Bibliographic Details
Published in:Journal of flood risk management Vol. 14; no. 1
Main Authors: Mu, Dengrui, Luo, Pingping, Lyu, Jiqiang, Zhou, Meimei, Huo, Aidi, Duan, Weili, Nover, Daniel, He, Bin, Zhao, Xiaoli
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01-03-2021
John Wiley & Sons, Inc
Wiley
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Summary:Urban flooding is a perennial problem, especially in developing countries with relatively weak infrastructure under ever‐increasing stress due to climate change and human activities. We simulate the temporally variable flood‐water depth and inundation area under four designed rainfall patterns in the typical tropical rainforest city of Hue, Vietnam. The four rainfall types are R1 (peak at fifth hour), R2 (peak at 20th hour), R3 (peak at first hour), and R4 (peak at 13th hour). Results show that temporal rainfall pattern R4 with peak rainfall in the middle of the total period yielded the maximum water depth of 1.88 m. R3, with peak rainfall in the first hour, yields the shallowest maximum water depth and the largest inundation extent. When the water depth for R3 is 0.1–0.2 m, the inundated area caused by R3 is 3–4 times that of the other three patterns. Analysis of urban flood inundation in Hue provides a management tool to facilitate flood risk management in the context of extreme rainfall.
Bibliography:Funding information
Excellent projects for science and technology activities of overseas staff in Shaanxi Province, Grant/Award Number: 2018038; Fundamental Research Funds for the Central Universities of China, Grant/Award Number: 300102299302; International Collaborative Research of Disaster Prevention Research Institute of Kyoto University, Grant/Award Number: 2019W‐02; National Key R&D Program of China, Grant/Award Number: 2018YFE0103800; National Natural Science Foundation of China, Grant/Award Number: 41501552; Natural Science Foundation of Jiangsu Province, Grant/Award Number: BK20161612
ISSN:1753-318X
1753-318X
DOI:10.1111/jfr3.12668