Art

J-GLOBAL ID：201802244170301797   Reference number：18A1474935

Development and Application of a Building Group Destruction Probability Model Based on the Great East Japan Earthquake Tsunami Experience

東日本大震災津波体験に基づく建物群破壊確率モデルの開発と適用

Author (1)： YANAGAWA Ryoichi (Kagawa Coll.)
Material： Journal of Natural Disaster Science (Web)  (J Nat Disaster Sci (Web))
Volume： 38  Issue： 2  Page： 145-164 (WEB ONLY)  Publication year： 2017 
JST Material Number： U0123A  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： earthquake disaster ,  *tsunami ,  building ,  community (biology) ,  *failure probability ,  *analytical model ,  prediction technique ,  Iwate prefecture ,  coastal district ,  inland ,  *building construction ,  *building density ,  inundation ,  numerical analysis ,  parameter estimation ,  measurement data ,  prediction error ,  geographic information system ,  Great East Japan Earthquake ,  parametric analysis
Semi thesaurus term： parameter analysis

JST classification (1)： Natural disasters  (RA02030M)

Reference (27)：

• Aida, I., 1984. A source model of the tsunami accompanying the 1983 Nihonkai-Chubu earthquake, Bulletin of the Earthquake Research Institute-University of Tokyo, 59, 93-104.
• Arikawa, T., 2012. Tsunami disaster due to the Great Eastern Japan Earthquake, Concr. J., 50(1), 23-29.
• Charvet, I., I. Ioannou, T. Rossetto, A. Suppasri, and F. Imamura, 2014. Empirical fragility assessment of buildings affected by the 2011 Great East Japan tsunami using improved statistical models, Nat. Hazards, 73(2), 951-973.
• Fujii, Y., K. Satake, S. Sakai, M. Shinohara, and T. Kanazawa, 2011. Tsunami source of the 2011 off the Pacific coast of Tohoku Earthquake, Earth Planets Space, 63, 815-820.
• Geospatial Information Authority of Japan-Ministry of Land, Infrastructure, Transport, and Tourism. 2012. Maps and geospatial information. http://www.gsi.go.jp/kiban (accessed October 26, 2015).

Terms in the title (7)： 東日本大震災 ,  津波 ,  体験 ,  建物 ,  破壊確率 ,  モデル ,  開発