Simulation of compound flooding in Japan using a nationwide model

Wei Huang (), Yinglong Joseph Zhang, Zhuo Liu, Hao-Cheng Yu, Yi Liu, Sam Lamont, Yu Zhang, Feyera Hirpa, Ting Li, Brett Baker, Wang Zhan, Shabaz Patel and Nobuhito Mori
Additional contact information
Wei Huang: Oak Ridge National Laboratory
Yinglong Joseph Zhang: Virginia Institute of Marine Science
Zhuo Liu: One Concern Inc
Hao-Cheng Yu: Virginia Institute of Marine Science
Yi Liu: One Concern Inc
Sam Lamont: One Concern Inc
Yu Zhang: One Concern Inc
Feyera Hirpa: One Concern Inc
Ting Li: One Concern Inc
Brett Baker: One Concern Inc
Wang Zhan: One Concern Inc
Shabaz Patel: One Concern Inc
Nobuhito Mori: Kyoto University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 117, issue 3, No 24, 2693-2713

Abstract: Abstract A high-resolution, summit-to-sea unstructured-grid model was used to simulate two compound flooding events in different geomorphic settings in Japan: the July 2012 flood in Kumamoto city and July 2018 flood in Okayama City, both caused by a torrential rainfall during seasonal Meiyu front but otherwise exhibiting quite different compound flood characteristics. The model shows good performance in simulating flooding extent; e.g., the Hit Rate for the inundation event in 2018 exceeds 0.9. Sensitivity tests were conducted to determine the roles/significance of levee structures along major rivers in coastal regions. Our results indicate that riverine and oceanic factors as well as levees significantly contribute to the observed flooding extents, and we are able to quantify the contributions from each factor at different locations. The model has been implemented operationally as the first nationwide 3-day compound flooding forecast system for Japan.

Keywords: SCHISM; Compound flooding; Levee protection (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11069-023-05962-7

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