Japan Geoscience Union Meeting 2023

Session information

[E] Online Poster

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

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

Sun. May 21, 2023 1:45 PM - 3:15 PM Online Poster Zoom Room (9) (Online Poster)

convener:Katsumi Hattori(Department of Earth Sciences, Graduate School of Science, Chiba University), Jann-Yenq LIU(Center for Astronautical Physics and Engineering, National Central University, Taiwan), Dimitar Ouzounov(Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA), Qinghua Huang(Peking University)

On-site poster schedule(2023/5/21 17:15-18:45)

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.

1:45 PM - 3:15 PM

*Yuichiro Ota1, Chie Yoshino2, Katsumi Hattori2,3,4, Kenshin Miura1, Noriyuki Imazumi5 (1.Chiba University, 2.Graduate School of Science, Chiba University, 3.Center for Environmental Remote Sensing, Chiba University, 4.Research Institute of Disaster Medicine, Chiba University, 5.The Institution of Professional Engineers, Chiba, Japan)


1:45 PM - 3:15 PM

*Jann-Yenq LIU1,2,3, Yuh-Ing Chen4, YUN-CHENG WEN2 (1.Center for Astronautical Physics and Engineering, National Central University, Taiwan, 2.Department of Space Science and Engineering, National Central University, Taiwan, 3.Center for Space and Remote Sensing Research, National Central University, Taiwan, 4.Graduate Institute of Statistics, National Central University, Taiwan)

1:45 PM - 3:15 PM

*Shu Kaneko1, Toru Mogi2, Chie Yoshino2, Katsumi Hattori2,3,4 (1.Graduate School of Science and Engineering, Chiba University Japan, 2.Graduate School of Science, Chiba University Japan, 3.Center for Environmental Remote Sensing, Chiba University, Japan, 4.Disaster Medicine Research Institute, Chiba University, Japan)


1:45 PM - 3:15 PM

*Xiaocan Liu1, Junjie Chen2,4, Peng Han3, Jiuhou Lei2 (1.Institute of geophysics China Earthquake Administrition, Beijing, China, 2. School of Earth and Space Sciences, CAS Key Laboratory of Geospace Environment, University of Science and Technology of China, Hefei, China, 3.Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China, 4.Department of Earth Sciences, University of Hongkong, Hongkong, China)

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