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ID 116234
著者
Igarashi, Yasuhiko The University of Tokyo
Hori, Takane Japan Agency for Marine-Earth Science and Technology
Murata, Shin The University of Tokyo
Sato, Kenichiro Japan Agency for Marine-Earth Science and Technology
Okada, Masato The University of Tokyo
キーワード
Tsunami prediction
Gaussian process
Cabled seafloor observatory
DONET
Nankai trough
資料タイプ
学術雑誌論文
抄録
We constructed a model to predict the maximum tsunami height by a Gaussian process (GP) that uses pressure gauge data from the Dense Oceanfloor Network System for Earthquakes and Tsunamis (DONET) in the Nankai trough. We found a greatly improved generalization error of the maximum tsunami height by our prediction model. The error is about one third of that by a previous method, which tends to make larger predictions, especially for large tsunami heights (>10 m). These results indicate that GP enables us to get a more accurate prediction of tsunami height by using pressure gauge data.
掲載誌名
Marine Geophysical Research
ISSN
00253235
15730581
cat書誌ID
AA00721573
出版者
Springer Nature
37
4
開始ページ
361
終了ページ
370
発行日
2016-12-08
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