日本地球惑星科学連合2021年大会
セッション概要| ユニオン (U) | ||||
|---|---|---|---|---|
| セッション小記号 | ユニオン | |||
| セッション ID | U-12 | |||
| タイトル | From Hazard to Resilience | |||
| タイトル短縮名 | From Hazard to Resilience | |||
| 開催日時 | 口頭セッション | 6/4 (金) PM2 | チャンネル | 01 |
| ポスターセッション | 6/4 (金) PM3 | 代表コンビーナ | 氏名 | 平田 直 |
| 所属 | 国立研究開発法人防災科学技術研究所 | |||
| 共同コンビーナ 1 | 氏名 | 田村 圭子 | ||
| 所属 | 新潟大学 危機管理本部 危機管理室 | |||
| 共同コンビーナ 2 | 氏名 | Matt Gerstenberger | ||
| 所属 | GNS Science | |||
| 共同コンビーナ 3 | 氏名 | Schorlemmer Danijel | ||
| 所属 | GFZ German Research Centre for Geosciences | |||
| セッション言語 | E | |||
| スコープ | Natural hazards continue to be a challenge to societies around the world with many impacted by multiple types of hazards. To reduce the impact of these hazards we must not only quantify the hazard and risk associated with multi-hazard events, but we must also understand the associated uncertainty(e.g., ISO 31000 defines risk as the effect of uncertainty on objectives). Resilience can only be improved by considering all of these factors. Multi-hazard and risk modeling approaches are receiving increasing attention globally, however, the challenges of assessing uncertainty in both single- and multi-hazard risks are considerable. Without a clear understanding of the risks and their uncertainties, difficult decisions related to risk mitigation and increasing resilience are incompletely informed.
In this session we will discuss research at the confluence of hazard and risk assessment and their societal uptake. This includes hazard/risk modeling, methods for their use in decision making, and their communication. We solicit presentations on a wide range of topics related to questions such as: What are the latest developments in single- and multi- hazard and risk models? What uncertainties are the most critical for decision making? How can they be identified, quantified and reduced? How can hazards, risks and their uncertainties be communicated to the public and stakeholders in a comprehensible, trustworthy and actionable way? Can artificial intelligence and machine learning fill the uncertainty gap? What is the role of smart cities in helping mitigate risks? What are recent experiences in bringing hazard and risk information into policy and decision making?
We hope for stimulating discussions highlighting the international diversity in approaches. We invite scientists from physical science, engineering and social science, communicators, governmental decision makers, practitioners, and stakeholders to join this session. | |||
| 発表方法 | 口頭およびポスターセッション | 共催情報 | 学協会 | - |
| ジョイント | AGU | |||