09:00 〜 09:30
[SCG44-13] Improved Earthquake Monitoring with AI
★Invited Papers
*Gregory C Beroza1 (1.Stanford University)
[E] 口頭発表
セッション記号 S (固体地球科学) » S-CG 固体地球科学複合領域・一般
2022年5月27日(金) 09:00 〜 10:30 103 (幕張メッセ国際会議場)
コンビーナ:加藤 愛太郎(東京大学地震研究所)、コンビーナ:田中 愛幸(東京大学理学系研究科)、山口 飛鳥(東京大学大気海洋研究所)、コンビーナ:波多野 恭弘(大阪大学理学研究科)、座長:伊藤 喜宏(京都大学防災研究所)、田中 宏幸(東京大学地震研究所)
A growing evidence of geophysical observations has demonstrated that earthquake faults host a broad spectrum of slip modes from slow to unstable fast slip, which may lead to complexity in the nucleation process, rupture behavior, and slip & energy distribution. This discovery has boosted up vigorous discussions about the connection between slow and fast earthquakes including large earthquakes. How and when does a slow earthquake become a fast earthquake? To answer this fundamental question, it is particularly important to proceed further interdisciplinary research through the integration of geophysics, seismology, geodesy, geology, and physics. Developments of measurement technology, application of information science and statistical methods to seismic big-data and utilization of high-performance computing are required as key ingredients in accelerating the integration. This session encourages presentations shedding light on geophysical observations, data analysis, field studies, laboratory experiments, numerical modeling, and theoretical studies. We also welcome contributions from cutting-edge science and technology fields that explore development of novel measurements, data-driven analysis, and large-scale computation etc., those are relevant to slow and fast earthquakes.
09:00 〜 09:30
*Gregory C Beroza1 (1.Stanford University)
09:30 〜 09:45
09:45 〜 10:00
*Ge Jin1 (1.Colorado School of Mines)
10:00 〜 10:15
*加藤 愛太郎1、鶴岡 弘1、篠原 雅尚1、江本 賢太郎4、木村 恒久5、岡村 健志3、菊池 豊2 (1.東京大学地震研究所、2.高知工科大学、3.高知大学、4.東北大学、5.DAS Consultant (agent of Sintela))
10:15 〜 10:30
*Carolyn Nuyen1、David Schmidt1 (1.University of Washington Seattle)