日本地球惑星科学連合2023年大会

セッション情報

[E] 口頭発表

セッション記号 M (領域外・複数領域) » M-IS ジョイント

[M-IS04] Interdisciplinary studies on pre-earthquake processes

2023年5月21日(日) 15:30 〜 16:45 104 (幕張メッセ国際会議場)

コンビーナ:服部 克巳(千葉大学大学院理学研究科)、劉 正彦(国立中央大学太空科学研究所)、Ouzounov Dimitar(Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA)、Qinghua Huang(Peking University)、座長:劉 正彦(国立中央大学太空科学研究所)、服部 克巳(千葉大学大学院理学研究科)

We have acquired a lot of knowledge on precursors and earthquake
preparation. This session expands the interdisciplinary discussions on
the preparation process of earthquake and earthquake predictability by
presenting the latest progress in studying the physically based
Pre-earthquake phenomena. New observations from space and ground have
provided evidence that may enhance better the understanding of the tectonic
activity. The session anticipates talks that include but are not limited to
observations and analyses of seismic, electrical, electromagnetic,
electro-chemical, and thermodynamic processes related to stress changes
in the lithosphere, along with their statistical and physical validation.
Presentations on the latest observational results associated with major
earthquakes obtained by different methodologies are welcomed. The topics
of the session are as follows but not limited.

-General discussion on the earthquake preparation process and the physics of
pre-earthquake signals
- Theory, modeling, laboratory experiments, and computational simulation for
generation and propagation of pre-earthquake signals and their
connection with the seismic cycle
- Multi-parameter observations, detection, and validation of
pre-earthquake signals
- Cross-disciplinary studies, practical and technical approaches for
a better understanding of earthquake preparation processes and their
connection with seismicity.
- Applications of multi-parameter Machine Learning and AI approaches
for pre-earthquake signals identification, and data assimilation for
practical forecast model.

16:15 〜 16:30

*Dedalo Marchetti1Kaiguang Zhu1、Yiqun Zhang1、Essam Ghamry2、Guido Ventura3、Alessandro Piscini3Xuhui Shen4、Rui Yan5、Zeren Zhima5、Ting Wang1、Wenqi Chen1、Yuqi Cheng1、Mengxuan Fan1、Jiami Wen1、Donghua Zhang1、Hanshuo Zhang1 (1.College of Instrumentation and Electrical Engineering, Jilin University, Changchun, 130061, China、2.National Research Institute of Astronomy and Geophysics, 11421 Helwan, Cairo, Egypt、3.Istituto Nazionale di Geofisica e Vulcanologia, 00143, Rome, Italy、4.National Space Science Center, Chinese Academy of Science, 100085, Beijing, China、5.Space Observation Research Center, National Institute of Natural Hazards, MEMC, China)

16:30 〜 16:45

*Yongxin Gao1、Ting Li1Chieh-Hung Chen2、Yang-Yi Sun2、Xuemin Zhang3、Jann-Yenq Liu4 (1.School of Civil Engineering, Hefei University of Technology、2.Institute of Geophysics and Geomatics,China University of Geosciences、3.Institute of Earthquake Forecasting, China Earthquake Administration、4.Graduate Institute of Space Science, National Central University,)

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