Solid Earth Sciences (S)
Session Sub-category Complex & General(CG)
Session ID S-CG63
Title Reducing risks from earthquakes, tsunamis & volcanoes: new applications of realtime geophysical data
Short Title Real-time monitoring and prediction
Main Convener Name Yuki Kodera
Affiliation Meteorological Research Institute, Japan Meteorological Agency
Co-Convener 1 Name Masumi Yamada
Affiliation Disaster Prevention Research Institute, Kyoto University
Co-Convener 2 Name Yusaku Ohta
Affiliation Research Center for Prediction of Earthquakes and Volcanic Eruptions, Graduate School of Science, Tohoku University
Co-Convener 3 Name Naotaka YAMAMOTO CHIKASADA
Affiliation National Research Institute for Earth Science and Disaster Resilience
Session Language 
J
Scope 
As the number of population centers grows in regions with earthquake, tsunami and volcano hazards, the importance of improving methods for rapid, realtime estimates of activity increases. Realtime monitoring, analysis, and prediction of seismic ground motion, crustal movement and tsunami will be powerful tools to contribute to earthquake and tsunami disaster preparedness/mitigation. Tsunami and Earthquake Early Warning systems exist today in many locations around the world. Now JMA has started to promptly provide Eruption Notices to inform people of impending and beginning volcanic eruptions. Large events like the 2011 Tohoku Earthquake (Mw9.0) have demonstrated some of the shortcomings of existing techniques. In this session, we invite presentations on new ideas, methods and applications of (near) realtime analysis of seismic, geodetic and tsunami data, to the problem of realtime prediction aimed at improving disaster preparedness/mitigation in the fields of earthquake, tsunami and volcano observation. Presentation is encouraged to bring together scientists, engineers, and practitioners from a broad range of backgrounds from around the world, and to promote collaborative communication at the leading edge of the science and technologies.
Presentation Format Oral and Poster presentation
Invited Authors Da-Yi Chen (Seismological Center, Central Weather Administration of Taiwan)
Satoshi Fujii (University of the Ryukyus)
Time Presentation No Title Presenter
Oral Presentation May 29 AM2
10:45 - 11:00 SCG63-01 Assessing the CWA EEW System’s Response to the 2025 Dapu M6.4 Taiwan Earthquake Da-Yi Chen
11:00 - 11:15 SCG63-02 Online testing of the IPFx method for the strong motion network in Taiwan Masumi Yamada
11:15 - 11:30 SCG63-03 New Approach Based on Machine Learning for Earthquake Early Warning: Simultaneous Prediction of Noise Discrimination and Threshold Exceedance Shunta Noda
11:30 - 11:45 SCG63-04 Tsunami Information and Applications of High-Frequncy Oceanographic Radar Satoshi Fujii
11:45 - 12:00 SCG63-05 Development of Waveform Filters for Real-time Tsunami Forecasting using Ocean Bottom Pressure Data Naotaka YAMAMOTO CHIKASADA
12:00 - 12:15 SCG63-06 Toughening disaster prevention for each region using scientific information on real-time crustal activities, prediction and hazards Narumi Takahashi
Presentation No Title Presenter
Poster Presentation May 29 PM3
SCG63-P01 A Time and Time-Frequency Domain R2U-net-based Model for Phase Picking and On-site Earthquake Early Warning Ting Yu Hsu
SCG63-P02 Implication of maximum amplitude and P wave arrival time: consideration from comparing velocity seismogram with accelerogram at the same location Mitsuyuki Hoshiba
SCG63-P03 Development of a real-time seismic intensity prediction model using a graph neural network Gota Watanabe
SCG63-P04 Toward a more robust P-wave-based PLUM algorithm: continuous monitoring of the UD-component realtime seismic intensity Yuki Kodera
SCG63-P05 Development of a real-time epicenter estimation system using array analyses with a permanent seismic network Masashi Ogiso