Abstract of the 238th meeting of CCEP

  The 238th meeting of the Coordinating Committee for Earthquake Prediction (CCEP) was held at the Kanto Regional Survey Department of the GSI on February 28, 2023. And the meeting was onsite and online confference. Firstly, the nationwide monitoring data of the seismic activity and the crustal deformations and prediction of crustal activity were reported. Secondary, the CCEP members discussed the intensive discussion subject "Evolution of Seismology with Artificial Intelligence" was explained. Finally, the purport of next intensive discussion subject "Earthquake swarm" was explained.

※The materials on this site are written in Japanese.

• Deliberation about crustal activity monitoring.

1.1 General crustal activities
(1) Seismic activities of Japan.
      p2 (JMA)
(2) Activities of shallow and very-low-frequency earthquakes around Japan.
      p3 (NIED)
(3) Strain changes in Japanese Islands.
      p4 (GSI)

1.2 State of interplate coupling and its change.
(1)Earthquake in southern of Ibaraki Prefecture.(Nov. 9)
      p5 (JMA)
(2)Suruga trough, Nankai trough and Nansei islands trench.
      pp6-7 (NIED)
      p8(GSI),

1.3 Others
(1) Seismic activity in Noto region, Ishikawa Prefecture.
      p9 (JMA)
      pp10-14 (GSI)
(2) Earthquake in off the coast of southeast Mie Prefecture.(Nov. 14)
      p15 (JMA)
(3) Earthquake in the waters near Amami Oshima Island.(Dec.13)
      p16 (JMA)
(4) Seismic activity in off the coast of northwest Okinawa main island.
      p17 (GSI)

1.4 Earthquakes in Turkey on February 6, 2023 (UTC)
      p18 (JMA)
      pp19-23 (GSI)
      pp24-25 (ISM)

1.5 Prediction of crustal activity
(1) prediction of crustal activity(1) - short-term probabilistic prediction and evaluation of crustal earthquakes
      p27 (ISM)



• Intensive discussion "Long-term forecast of crustal earthquakes".

      p29 Naoshi Hirata (The University of Tokyo),Hiromichi Nagao (ERI, Earthquake Research Institute,The University of Tokyo)

-Development of seismic and geodetic event detection methods using multiple observation stations by artificial intelligence
      p31 Yano Keisuke (ISM)
-Detection of micro-earthquakes by automatic hypocenter determination combined with machine learning data
      p32 Koji Tamaribuchi (MRI)
-Application of Machine Learning Technology to Earthquake Ground-Motion Prediction
      p33 Hisahiko Kubo (NIED)
-Detection of Deep Low-Frequency Tremors from Continuous Paper Records from over 50 years ago
      p34 Hiromichi Nagao (ERI)
-Earthquake Early Warning using Elasto-gravity signals
      p35 Bertrand Rouet-Leduc (Disaster Prevention Research Institute, Kyoto University)

• Earthquake swarm.

p36 Convener：Kazutoshi Imanishi (AIST)

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