Session outline
| Solid Earth Sciences (S) | ||
|---|---|---|
| Session Sub-category | Complex & General(CG) | |
| Session ID | S-CG62 | |
| 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 | |
| Co-Convener 4 | Name | Tim Clements |
| Affiliation | USGS Earthquake Science Center | |
| Session Language |
E |
|
| 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 |
Jessie K. Saunders (Seismological Laboratory, Caltech) Nariaki Okawara (Seismology and Volcanology Department, Japan Meteorological Agency) |
|
| Time | Presentation No | Title | Presenter |
|---|---|---|---|
| Oral Presentation May 26 PM1 | |||
| 13:45 - 14:00 | SCG62-01 | Developing and testing a ground-motion-based earthquake early warning algorithm for the U.S. ShakeAlert system | Jessie K Saunders |
| 14:00 - 14:15 | SCG62-02 | Recent technical improvements in the Earthquake Early Warning system of the Japan Meteorological Agency | Nariaki OKAWARA |
| 14:15 - 14:30 | SCG62-03 | Prediction of Long-Period Ground Motion and Building Shaking from Nankai Trough Earthquakes Using Deep Learning | Takuma Kai |
| 14:30 - 14:45 | SCG62-04 | Automatic Rapid Tsunami Identification and Tracking by Ionosphere: The 2025 Kamchatka tsunami case in the far-field. | Maletckii Boris |
| 14:45 - 15:00 | SCG62-05 | Tsunami Forecast Method Using a Hybrid Method of Data Assimilation with Preliminary Estimated Fault Model as a Digital Twin for Tsunami Disaster Resilience | Rinda Nita Ratnasari |
| 15:00 - 15:15 | SCG62-06 | Estimating Tsunami Wave Fields using Sea-Floor Magnetic Field Observations | Zhiheng Lin |
| Presentation No | Title | Presenter |
|---|---|---|
| Poster Presentation May 26 PM3 | ||
| SCG62-P01 | Real-time detection of abnormal data by comparing acceleration and velocity waveforms: Quality check for earthquake early warning | Mitsuyuki Hoshiba |
| SCG62-P02 | Azimuth-Dependent Bias in Back Azimuth Estimation for Single-Station Earthquake Early Warning and Empirical Correction | Ryoya Matsushima |
| SCG62-P03 | Real-time Hypocenter Determination Using a Small-aperture Strong-motion Array | Shunta Wada |
| SCG62-P04 | Rapid estimation of high-frequency energy source immediately after a major earthquake | Kaoru Sawazaki |
| SCG62-P05 | Toward real-time seismic intensity time-series prediction using a graph neural network | Gota Watanabe |
| SCG62-P06 | On the estimation of GMPE-based Mw for moderate magnitude earthquakes in the Japan Trench area | Yadab P. Dhakal |
| SCG62-P07 | Timeliness improvement of earthquake early warning with P-waves from subsequent ruptures: application to P-phase magnitude estimation | Yuki Kodera |
| SCG62-P08 | Detection of tsunami and ocean currents from vessel's sway with its yaw motion | Daisuke Inazu |
| SCG62-P09 | Tides and the 2025 Kamchatka tsunami detected using DAS on the Tonankai-oki cable along the Nankai Trough, Japan | Masayuki Tanaka |