ID | 117437 |
著者 |
Shigihara, Yoshinori
National Defense Academy
Imai, Kentaro
Japan Agency for Marine-Earth Science and Technology
Iwase, Hiroyuki
The Japanese Institute of Fisheries Infrastructure and Communities
Kawasaki, Koji
Hydro Technology Institute
Nemoto, Makoto
OYO Corporation
Yamamoto Chikasada, Naotaka
National Research Institute for Earth Science and Disaster Resilience
Chida, Yu
Port and Airport Research Institute
Arikawa, Taro
Chuo University
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キーワード | Tsunami
tsunami inundation model
multiple model comparison
variation analysis
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資料タイプ |
学術雑誌論文
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抄録 | Researchers have developed tsunami inundation models based on nonlinear shallow water equations to estimate tsunami propagation and inundation. However, their empirical results are not in perfect agreement with those of other research institutes, even though the same governing equations are used. Therefore, we quantitatively evaluated the variability of tsunami simulations in this study. Several research institutes have conducted tsunami simulations under the same input conditions using tsunami inundation models adopted for tsunami hazard assessment, resulting in a certain degree of variability among them. By examining the spatial and temporal differences in various physical quantities, we identified the characteristic topography where the variability between tsunami simulations increases. A novel method for calculating statistics from the area integrals of physical quantities was proposed to demonstrate the variability in the overall simulation results. In addition, the effects of different setting parameters and computational environments on the simulation results of a single model were evaluated. The findings of this study are expected to not only serve as a basis to verify the reliability of source codes employed by users of the tsunami inundation model, but also contribute useful technical information to advance probabilistic tsunami hazard assessment in the future.
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掲載誌名 |
Coastal Engineering Journal
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ISSN | 21664250
17936292
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cat書誌ID | AA11274987
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出版者 | Taylor & Francis Group
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巻 | 64
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号 | 2
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開始ページ | 344
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終了ページ | 371
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発行日 | 2021-12-07
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権利情報 | This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
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言語 |
eng
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出版社版
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部局 |
理工学系
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