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ID 116233
著者
Yoshikawa, Masashi The University of Tokyo
Igarashi, Yasuhiko Japan Science and Technology Agency
Murata, Shin The University of Tokyo
Hori, Takane Japan Agency for Marine-Earth Science and Technology
Okada, Masato The University of Tokyo
キーワード
Nonlinear parametric model
Tsunami height prediction
Power law
Extrapolation
資料タイプ
学術雑誌論文
抄録
When a subduction-zone earthquake occurs, the tsunami height must be predicted to cope with the damage generated by the tsunami. Therefore, tsunami height prediction methods have been studied using simulation data acquired by large-scale calculations. In this research, we consider the existence of a nonlinear power law relationship between the water pressure gauge data observed by the Dense Oceanfloor Network System for Earthquakes and Tsunamis (DONET) and the coastal tsunami height. Using this relationship, we propose a nonlinear parametric model and conduct a prediction experiment to compare the accuracy of the proposed method with those of previous methods and implement particular improvements to the extrapolation accuracy.
掲載誌名
Marine Geophysical Research
ISSN
00253235
15730581
cat書誌ID
AA00721573
出版者
Springer Nature
40
4
開始ページ
467
終了ページ
477
発行日
2019-06-10
権利情報
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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言語
eng
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出版社版
部局
理工学系