JpGU Meeting 2025
Session Outline| Solid Earth Sciences (S) | ||||
|---|---|---|---|---|
| Session Sub-category | Seismology (SS) | |||
| Session ID | S-SS13 | |||
| Session Title | Earthquake prediction and forecast | |||
| Short Title | Earthquake prediction and forecast | |||
| Date & Time | Oral Session |
PM1 Wed, 28 MAY | ||
| On-site Poster Coretime |
PM3 Wed. 28 MAY | |||
| Main Convener | Name | Kiwamu Nishida | ||
| Affiliation | Earthquake Research Institute, University of Tokyo | |||
| Co-Convener 1 | Name | Kei Katsumata | ||
| Affiliation | Institute of Seismology and Volcanology, Hokkaido University | |||
| Session Language | J | |||
| Scope (Session Description) |
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. |
|||
| Session Format | Orals and Posters session | |||
| Co-sponsorship | Partner Union(s) | - | ||
| JpGU Society Member(s) | The Seismological Society of Japan | |||
| International Collaborative Society | - | |||
| Organizations Other Than JpGU Society Members | - | |||
| Presentation No | Title | Presenter |
|---|---|---|
| Poster Presentation May 28 PM3 | ||
| SSS13-P01 | Re-examination of TEC anomalies in the ionosphere before large earthquakes | Kai Koyama |
| SSS13-P02 | Can seismic waves be detected from changes in lake water levels? | Maho Iwaki |
| SSS13-P03 | Application of a Customized High-Rise Early Warning Model to Different Building Types | Chiao Chu Hsu |
| SSS13-P04 | Operational Bayesian network to assist probabilistic earthquake prediction | MING ZHAO |
| SSS13-P05 | Estimation of Rates of Occurrences of Big Earthquakes Based Solely on the Empirical Relationship between Intensities and Rates of Occurrences | Takuya Kawanishi |