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リアルタイム津波浸水予測とリモートセンシングの融合による広域被害把握の新展開
http://hdl.handle.net/10112/00018614
http://hdl.handle.net/10112/0001861493e5a669-e354-41c3-9ee7-a3ff39ad8842
名前 / ファイル | ライセンス | アクション |
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KU-1100-20160331-05.pdf (3.1 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2019-11-26 | |||||
タイトル | ||||||
タイトル | リアルタイム津波浸水予測とリモートセンシングの融合による広域被害把握の新展開 | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
その他のタイトル | ||||||
その他のタイトル | Fusion of Real-time Tsunami Simulation and Remote Sensing for Mapping the Impact of Tsunami Disaster | |||||
著者 |
越村, 俊一
× 越村, 俊一 |
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著者別名 | ||||||
姓名 | Koshimura, Shunichi | |||||
概要 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Bringing together state-of-the-art high-performance computing, remote sensing and spatial information sciences, we establish a method of real-time tsunami inundation forecasting, damage estimation and mapping to enhance disaster response. Right after a major (near field) earthquake is triggered, we perform a real-time tsunami inundation forecasting with use of high-performance computing platform. Given the maximum flow depth distribution, we perform quantitative estimation of exposed population using census data and the numbers of potential death and damaged structures by applying tsunami fragility curve. After the potential tsunami-affected areas are estimated, the analysis gets focused and moves on to the "detection" phase using remote sensing. Recent advances of remote sensing technologies expand capabilities of detecting spatial extent of tsunami affected area and structural damage. Especially, a semi-automated method to estimate building damage in tsunami-affected areas is developed using optical sensor data and a set of pre-and post-event high-resolution SAR (Synthetic Aperture Radar) data. The method is verified through the case studies in the 2011 Tohoku and other potential tsunami scenarios, and the prototype system development is now underway in Kochi prefecture, one of at-risk coastal city against Nankai trough earthquake. In the trial operation, we verify the capability of the method as a new tsunami early warning and response system for stakeholders and responders. | |||||
書誌情報 |
社会安全学研究 = Safety science review 巻 6, p. 51-60, 発行日 2016-03-31 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 21860815 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA12523726 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
出版者 | ||||||
出版者 | 関西大学 社会安全研究センター | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Tsunami | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Real-time Simulation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Remote Sensing | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Geo-informatics | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 関西大学 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Kansai University |