直近一年間の累計
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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
キーワード
Tsunami
tsunami inundation model
multiple model comparison
variation analysis
資料タイプ
学術雑誌論文
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.
掲載誌名
Coastal Engineering Journal
ISSN
21664250
17936292
cat書誌ID
AA11274987
出版者
Informa UK|Taylor & Francis Group
64
2
開始ページ
344
終了ページ
371
発行日
2021-12-07
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
部局
理工学系