[S-SS06] Earthquake prediction and forecast

Wed. May 29, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

convener:Kei Katsumata(Institute of Seismology and Volcanology, Hokkaido University), Masao Nakatani(Earthquake Research Institute of the University of Tokyo)

This session provides the opportunity for presenting researches on prediction or forecasting of earthquake occurrences in wide sense, including times, places, sizes, or source mechanisms. Also, this session welcomes scientific discussions on possible causal relations to some other observation data, forecasting simulations based on theoretical models, developments and applications on statistical evaluation method for the verification of retrospective experiments, etc.

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5:15 PM - 6:45 PM

[SSS06-P01] Testing the Potential of Deep Learning in Earthquake Forecasting

Jonas Köhler^1,2, *Johannes Faber¹, Nishtha Srivastava^1,2 (1.Frankfurt Institute for Advanced Studies, 60438 Frankfurt am Main, Germany, 2.Goethe University, 60438 Frankfurt am Main, Germany)

5:15 PM - 6:45 PM

[SSS06-P02] An Enhanced Earthquake Early Warming System based on Deep Learning and Multi-station Data

*Wen-Wei Lin¹, Kuan-Yu Chen¹ (1.Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology)

5:15 PM - 6:45 PM

[SSS06-P03] A new method to predict big earthquakes based on Shindo-data, Meteorological Agency: Correction of aftershocks and swarms, contour of equal rate of occurrence on map of Japan

*Takuya Kawanishi¹ (1.Kanazawa Univ.)

5:15 PM - 6:45 PM

[SSS06-P04] Study on stress characteristics in the vicinity of Lushan M5.8 earthquake in 2022

*Yawei Ma¹ (1.China Earthquake Networks Center)

5:15 PM - 6:45 PM

[SSS06-P05] Challenge for detection of earthquake precursor in Taiwan revealed by GNSS analysis

*Min-Chien Tsai¹ (1. Seismological Center, Central Weather Administration)

5:15 PM - 6:45 PM

[SSS06-P06] Seasonal precipitation and winter dominance of earthquake activity along the northeastern coast of the Arabian Gulf

*Muhammad Usman¹, Hiroaki Takahashi, Kosuke Heki (1.Life and Environmental Science LES Department, Zayed University, Abu Dhabi, UAE)

5:15 PM - 6:45 PM

[SSS06-P07] Static stress changes associated with major earthquakes in the Chubu-Kinki regions over the past 130 years and their influence on nearby active faults

*Naoki Shukutani¹ (1.Tohoku University)

5:15 PM - 6:45 PM

[SSS06-P08] The Ionospheric Plasma Perturbations detected by the China Seismo-Electromagnetic Satellite before a Sequence of Strong Earthquakes in 2018

*Dapeng Liu¹, Zhima Zeren¹, Zhenxia Zhang¹ (1.National Institute of Natural Hazards, Ministry of Emergency Management of China)

5:15 PM - 6:45 PM

[SSS06-P09] Re-examination of TEC anomalies in the ionosphere before large earthquakes

*Kai Koyama¹, Yoshihiro Kaneko¹ (1.Kyoto University)

Session information

[S-SS06] Earthquake prediction and forecast

[SSS06-P01] Testing the Potential of Deep Learning in Earthquake Forecasting

[SSS06-P02] An Enhanced Earthquake Early Warming System based on Deep Learning and Multi-station Data

[SSS06-P03] A new method to predict big earthquakes based on Shindo-data, Meteorological Agency: Correction of aftershocks and swarms, contour of equal rate of occurrence on map of Japan

[SSS06-P04] Study on stress characteristics in the vicinity of Lushan M5.8 earthquake in 2022

[SSS06-P05] Challenge for detection of earthquake precursor in Taiwan revealed by GNSS analysis

[SSS06-P06] Seasonal precipitation and winter dominance of earthquake activity along the northeastern coast of the Arabian Gulf

[SSS06-P07] Static stress changes associated with major earthquakes in the Chubu-Kinki regions over the past 130 years and their influence on nearby active faults

[SSS06-P08] The Ionospheric Plasma Perturbations detected by the China Seismo-Electromagnetic Satellite before a Sequence of Strong Earthquakes in 2018

[SSS06-P09] Re-examination of TEC anomalies in the ionosphere before large earthquakes

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