日本地球惑星科学連合2019年大会

講演情報

[J] ポスター発表

セッション記号 H (地球人間圏科学) » H-DS 防災地球科学

[H-DS13] 津波とその予測

2019年5月28日(火) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 8ホール)

コンビーナ:近貞 直孝(防災科学技術研究所)、対馬 弘晃(気象庁)、久保田 達矢(国立研究開発法人防災科学技術研究所)

[HDS13-P05] Development of the Tsunami Prediction System using fault plane solution of W-phase inversion

*Seolhan You1Mikyung Choi1Sun-Cheon Park1Hye-Won Lee1Duk Kee Lee1 (1.Korea Meteorological Administration)

キーワード:tsunami, tsunami scenario database, W phase, tsunami prediction system

Tsunami is a long-wave caused by earthquakes, submarine volcanoes or coastal landslides. The Korean Peninsula experienced tsunami damage followed by 1983 and 1993 Japan earthquakes. To respond to possible tsunamis in the surrounding seas, the Korea Meteorological Administration has operated tsunami warning system based on tsunami scenario database. Tsunami scenario database was constructed with the results (tsunami height and arrival time) of simulating tsunami assuming virtual earthquakes at each grid point spacing with 0.2° interval in surrounding seas of the Korean peninsula(120°~142°E, 25°~45°N) . Earthquakes were assumed with magnitude 6.0 to 9.0 having intervals of 0.2 on the fault plane which is from known information or which is assumed to generate higher tsunami in the coastal area. Therefore tsunami scenario database has a limitation that does not reflect the characteristics of earthquakes when they actually occur because the fault plane will be different from assumed one.
In this study, we have developed an algorithm for tsunami prediction capable of analyzing fault plane solution using W phase and simulating tsunami using the fault plane information. We tested the performance of the developed algorithm applying into the case of 1993 Japan tsunami. W phase inversion results were as follows: moment magnitude=7.7, depth=25.5km, strike=170.2°, dip=45.3° and rake=77.8°. As a result of tsunami simulation using the inversion results, the difference between the numerical results (tsunami height and arrival time) and measured data at tide stations was small. Therefore the algorithm for tsunami prediction may be used for tsunami warning as a complement to tsunami scenario database.