Multidisciplinary and Interdisciplinary (M)
Session Sub-categoryIS
Session IDM-IS04
Title Interdisciplinary studies on pre-earthquake processes
Short Title Pre-earthquake processes
Date & Time
AM1, AM2 Sun, 21 MAY
PM3 Sun, 21 MAY
PM1 Sunday, 21 MAY
Main ConvenerName Katsumi Hattori
Affiliation Department of Earth Sciences, Graduate School of Science, Chiba University
Co-Convener 1Name Jann-Yenq LIU
Affiliation Department of Space Science and Engineering, National Central University, Taiwan
Co-Convener 2Name Dimitar Ouzounov
Affiliation Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA
Co-Convener 3Name Qinghua Huang
Affiliation Peking University
Session Language E
Scope 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.
Presentation Format Oral and Poster
Collaboration Joint with AGU, EGU, AOGS