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ID 117561
Author
Yasuda, Tomohiro Kansai University
Imai, Kentaro Japan Agency for Marine-Earth Science and Technology
Shigihara, Yoshinori National Defense Academy
Arikawa, Taro Chuo University
Chikasada, Naotaka National Research Institute for Earth Science and Disaster Resilience
Eguchi, Yuuki National Defense Academy
Kamiya, Masato Tokushima University
Minami, Masaaki Japan Meteorological Agency
Miyauchi, Toshiharu Chuo University
Nojima, Kazuya Nippon Koei
Pakoksung, Kwanchai Tohoku University
Suppasri, Anawat Tohoku University
Tominaga, Yuho IDEA Consultants
Keywords
tsunami analysis hackathon
tsunami inundation simulation
numerical models
topography data
reproducibility
Content Type
Journal Article
Description
The detailed understanding of tsunami hazard risk using numerical simulations requires a numerical model that can accurately predict tsunami inundation phenomena on land. In such models, the structural effects are indirectly considered using the variation of bottom roughness as a proxy for the differences in building densities. Only a few studies have conducted intermodel tests to investigate tsunami inundation in complex coastal urban cities. During the tsunami analysis hackathon held in September 2020, eight research groups met to have a detailed discussion on the current urban inundation problems. In this study, we conducted an intermodel comparison of the numerical tsunami models, using the data from physical experiments that were performed on a detailed urban model. Our objective was to investigate the necessary conditions of an accurate numerical model based that can ensure high reproducibility and practicality. It was confirmed that the accuracy of topographic data is an important parameter for tsunami inundation simulations in complex urban areas. Based on the computational cost and accuracy, we suggest that a resolution of 1 cm of topographic data is a sufficient condition for tsunami inundation simulations on 1/250 scale model.
Journal Title
Journal of Disaster Research
ISSN
18812473
18838030
Publisher
Fuji Technology Press
Volume
16
Issue
7
Start Page
978
End Page
993
Published Date
2021-10-01
Rights
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nd/4.0/).
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DOI (Published Version)
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language
eng
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departments
Science and Technology