セッション概要
| 領域外・複数領域(M) | |||
|---|---|---|---|
| セッション小記号 | 地球科学一般・情報地球科学(GI) | ||
| セッションID | M-GI31 | ||
| タイトル | 和文 | Advancing pre-disaster measures for large earthquakes: Integrating science and society | |
| 英文 | Advancing pre-disaster measures for large earthquakes: Integrating science and society | ||
| タイトル短縮名 | 和文 | Study to advance earthquake preparedness | |
| 英文 | Study to advance earthquake preparedness | ||
| 代表コンビーナ | 氏名 | 和文 | 楠城 一嘉 |
| 英文 | Kazuyoshi Nanjo | ||
| 所属 | 和文 | 静岡県立大学 | |
| 英文 | University of Shizuoka | ||
| 共同コンビーナ 1 | 氏名 | 和文 | 高橋 成実 |
| 英文 | Narumi Takahashi | ||
| 所属 | 和文 | 防災科学技術研究所 | |
| 英文 | National Research Institute for Earth Science and Disaster Resilience | ||
| 共同コンビーナ 2 | 氏名 | 和文 | 堀 高峰 |
| 英文 | Takane Hori | ||
| 所属 | 和文 | 国立研究開発法人海洋研究開発機構 | |
| 英文 | Japan Agency for Marine-Earth Science and Technology | ||
| 共同コンビーナ 3 | 氏名 | 和文 | John B Rundle |
| 英文 | John B Rundle | ||
| 所属 | 和文 | University of California Davis | |
| 英文 | University of California Davis | ||
| 発表言語 | E | ||
| スコープ | 和文 |
Integrating natural and social sciences to accelerate pre-disaster measures against large earthquakes will strengthen resilience by protecting lives, reducing damage, sustaining society, and enabling rapid recovery. In Japan, key priorities include utilizing data from the new N-net seafloor observation system, refining three-dimensional seismic-velocity models, improving hypocenter determination in the Nankai Trough source region, and extending these efforts to regions such as Hokkaido and Sanriku. It is also essential to develop methods for evaluating slow slip events and constructing possible scenarios to support realistic earthquake disaster planning. As society faces increasingly complex cascading hazards caused by earthquakes, tsunamis, landslides, and liquefaction, traditional measures are no longer sufficient. Greater emphasis is needed on advanced risk information and redefining resilience from emergency response to recovery. This session provides a platform to discuss research efforts from around the world that aim to accelerate pre-disaster measures against earthquake hazards. In particular, we welcome presentations on initiatives that integrate insights from the natural sciences, engineering, informatics, and the humanities and social sciences, as well as those that promote the use of digital technologies and the strengthening of community-based disaster preparedness. |
|
| 英文 |
Integrating natural and social sciences to accelerate pre-disaster measures against large earthquakes will strengthen resilience by protecting lives, reducing damage, sustaining society, and enabling rapid recovery. In Japan, key priorities include utilizing data from the new N-net seafloor observation system, refining three-dimensional seismic-velocity models, improving hypocenter determination in the Nankai Trough source region, and extending these efforts to regions such as Hokkaido and Sanriku. It is also essential to develop methods for evaluating slow slip events and constructing possible scenarios to support realistic earthquake disaster planning. As society faces increasingly complex cascading hazards caused by earthquakes, tsunamis, landslides, and liquefaction, traditional measures are no longer sufficient. Greater emphasis is needed on advanced risk information and redefining resilience from emergency response to recovery. This session provides a platform to discuss research efforts from around the world that aim to accelerate pre-disaster measures against earthquake hazards. In particular, we welcome presentations on initiatives that integrate insights from the natural sciences, engineering, informatics, and the humanities and social sciences, as well as those that promote the use of digital technologies and the strengthening of community-based disaster preparedness. |
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| 発表方法 | 口頭および(または)ポスターセッション | ||
| 招待講演 |
Ian T. Baughman (University of California, Davis) 福来美穂香 (University of California, Irvine) 福島洋 (東北大学) |
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| 講演番号 | タイトル | 発表者 |
|---|---|---|
| ポスター発表 5月29日 PM3 | ||
| MGI31-P01 | Nowcasting Earthquakes with QuakeGPT: Recent Updates and Results | John B Rundle |
| MGI31-P02 | Designing Knowledge-to-Action Systems for Earthquake Disaster Risk Reduction: Integrating Natural and Social Sciences to Enable Preventive Behavior | 福島 洋 |
| MGI31-P03 | From Earthquake Potential Score to Natural-Time Forecasting: State Variables for Pre-Disaster Awareness | Ian Baughman |
| MGI31-P04 | Prior earthquake experiences impacting risk perception by older adults in Japan | Mihoka Fukurai |
| MGI31-P05 | Earthquake nowcasting and QuakeGPT for actionable, updatable seismic-risk indicators in Japan: First results off Hokkaido-Tohoku | 楠城 一嘉 |