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  1. 防災科研関係論文

Tsunami Data Assimilation of Cabled Ocean Bottom Pressure Records for the 2015 Torishima Volcanic Tsunami Earthquake

https://nied-repo.bosai.go.jp/records/2871
https://nied-repo.bosai.go.jp/records/2871
8807b340-76af-4264-a5eb-be1372870ad5
Item type researchmap(1)
公開日 2023-03-30
タイトル
言語 en
タイトル Tsunami Data Assimilation of Cabled Ocean Bottom Pressure Records for the 2015 Torishima Volcanic Tsunami Earthquake
著者 Y. Wang

× Y. Wang

en Y. Wang

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K. Satake

× K. Satake

en K. Satake

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O. Sandanbata

× O. Sandanbata

en O. Sandanbata

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T. Maeda

× T. Maeda

en T. Maeda

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H. Su

× H. Su

en H. Su

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抄録
内容記述タイプ Other
内容記述 Abnormal volcanic earthquakes occurring near the volcanic island of Torishima, south of Japan, sometimes generate relatively larger tsunamis compared to the seismic magnitudes. They have a non-double-couple focal mechanism known as compensated linear vector dipole. The unusual earthquake source mechanism poses difficulties in traditional tsunami forecasting method based on seismic parameters. Tsunami data assimilation, a method of tsunami forecast using offshore tsunami observation data and numerical model, avoids the complexities and uncertainties in the tsunami source estimation and makes a tsunami early warning at coastal points of interest. Along Nankai trough, many offshore bottom pressure gauges are installed, and the data are transmitted in real time through submarine cables. Previous synthetic experiments have demonstrated the capability of the data assimilation approach for tsunami forecasting. In this paper, we report the successful application of the tsunami data assimilation to the cabled ocean bottom pressure gauge data for the first time. We assimilated the tsunami data recorded on ocean bottom pressure gauges to retroactively forecast the tsunamis of the 2015 Torishima earthquake. Comparison of the forecasted and observed waveforms at two coastal tide gauges (Kushimoto and Tosashimizu) confirmed that our method could forecast the tsunami amplitude and arrival time accurately, merely based on offshore tsunami observations. We also investigated the relationship between the number of observational stations used for assimilation and the forecasting accuracy and determined which stations were more important in data assimilation.
言語 en
書誌情報 en : Journal of Geophysical Research: Solid Earth

巻 124, 号 10, p. 10413-10422, 発行日 2019-10
出版者
言語 en
出版者 American Geophysical Union (AGU)
ISSN
収録物識別子タイプ EISSN
収録物識別子 2169-9356
DOI
関連識別子 10.1029/2019jb018056
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