Japan Geoscience Union Meeting 2022

Presentation information

[E] Poster

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS10] Interdisciplinary studies on pre-earthquake processes

Mon. May 30, 2022 11:00 AM - 1:00 PM Online Poster Zoom Room (31) (Ch.31)

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

11:00 AM - 1:00 PM

[MIS10-P07] Statistical Analyses and Deep Learning on Seismo-Ionospheric Precursors of the TEC Associated with the 21 September 1999 M7.3 Chi-Chi Earthquake

*YUN-CHENG WEN1, Jann-Yenq LIU2, CHIYEN LIN2 (1.Department of Space Science and Engineering, National Central University, Taiwan, 2.Center for Astronautical Physics and Engineering, National Central University, Taiwan)

Keywords:deep learning, earthquake, total electron content

The global ionosphere map of total electron content (TEC) is used to examine the characteristics of anomalies before the 21 September 1999 M7.3 Chi-Chi earthquake and M5.0 earthquakes in Taiwan during 2000-2021. The statical analysis finds the characteristics the polarity, duration, lead time, etc. of the TEC anomaly. The characteristics is then adopted by a deep learning method to construct a neural network, which will find possible coming large earthquakes. Meanwhile, a spatial analysis of TEC anomalies will be applied to confirm the possible coming large earthquake.