Solid Earth Sciences (S)
Session Sub-category Complex & General(CG)
Session ID S-CG53
Title Reducing risks from earthquakes, tsunamis & volcanoes: new applications of realtime geophysical data
Short Title Real-time monitoring and prediction
Main Convener Name Masashi Ogiso
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 David J Wald (USGS Central Region Offices Denver)
Keitaro Ohno (Geospatial Information Authority of Japan )
Time Presentation No Title Presenter
Oral Presentation May 27 AM2
10:45 - 11:00 SCG53-01 Learning from Earthquakes: Characterizing Shaking and EEW Efficacy via Systematic Surveys David J Wald
11:00 - 11:15 SCG53-02 Utilization of Earthquake Early Warnings for the earthquake (M6.5) with an epicenter in the Noto region of Ishikawa Prefecture that occurred at 14:42 on May 5, 2023. Yuuka Sakai
11:15 - 11:30 SCG53-03 Development of a real-time source model estimation method for volcanic regions Keitaro Ohno
11:30 - 11:45 SCG53-04 Development of N-net observation system and construction of offshore system Shin Aoi
11:45 - 12:00 SCG53-05 Verification of the predictive performance of the early aftershock-shaking forecast method based on extreme value statistics Kaoru Sawazaki
Presentation No Title Presenter
Poster Presentation May 27 PM3
SCG53-P01 Enhancement of single station method for earthquake early warning systems using machine learning techniques Shunta Noda
SCG53-P02 P-wave-based earthquake early warning without P-wave detection: Investigation of a P-wave-based PLUM algorithm Yuki Kodera
SCG53-P03 Constructing envelope functions of seismic intensity for the evaluation of EEW in Japan Hong Peng
SCG53-P04 Performance of the Earthquake Early Warning System for the 2024 Noto Earthquake Masumi Yamada
SCG53-P05 Development of the semi-real-time tsunami observation waveform collection system Naotaka YAMAMOTO CHIKASADA
SCG53-P06 Feasibility study of wave gradiometry for real-time monitoring of tsunamis Masashi Ogiso