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ID 116233
Author
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
Keywords
Nonlinear parametric model
Tsunami height prediction
Power law
Extrapolation
Content Type
Journal Article
Description
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.
Journal Title
Marine Geophysical Research
ISSN
00253235
15730581
NCID
AA00721573
Publisher
Springer Nature
Volume
40
Issue
4
Start Page
467
End Page
477
Published Date
2019-06-10
Rights
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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language
eng
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departments
Science and Technology