Statistical Analysis of Building Damage from the 2013 Super Typhoon Haiyan and its Storm Surge in the Philippines

被引:4
|
作者
Chaivutitorn, Tanaporn [1 ]
Tanasakcharoen, Thawalrat [2 ]
Leelawat, Natt [2 ,3 ]
Tang, Jing [3 ,4 ]
Caro, Carl Vincent C. [5 ]
Lagmay, Alfredo Mahar Francisco A. [6 ]
Suppasri, Anawat [7 ]
Bricker, Jeremy D. [8 ]
Roeber, Volker [9 ]
Yi, Carine J. [10 ]
Imamura, Fumihiko [7 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Sch Management, 43,Sec 4,Keelung Rd, Taipei 106, Taiwan
[2] Chulalongkorn Univ, Fac Engn, Dept Ind Engn, Bangkok, Thailand
[3] Chulalongkorn Univ, Disaster & Risk Management Informat Syst Res Grp, Bangkok, Thailand
[4] Chulalongkorn Univ, Fac Engn, Int Sch Engn, Bangkok, Thailand
[5] Viosimos Integrated Planning Consultants Inc, Bagumbong Caloocan City, Philippines
[6] Univ Philippines Diliman, Manila, Philippines
[7] Tohoku Univ, Int Res Inst Disaster Sci IRIDeS, Sendai, Miyagi, Japan
[8] Delft Univ Technol, Dept Hydraul Engn, Delft, Netherlands
[9] Univ Pau & Pays Adour, Anglet, France
[10] R Pk & Associates Inc, Etobicoke, ON, Canada
关键词
building damage; statistical analysis; storm surge; Super Typhoon Haiyan; LOW-RISE BUILDINGS; INFLUENTIAL FACTORS; JAPAN; PERSPECTIVE;
D O I
10.20965/jdr.2020.p0822
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In November 2013, Super Typhoon Haiyan (Yolanda) hit the Philippines. It caused heavy loss of lives and extensive damages to buildings and infrastructure. When collapsed buildings are focused on, it is interesting to find that these buildings did not collapse for the same reasons after the landfall of the typhoon and storm surge. The objective of this study is to develop a statistical model for building damage due to Super Typhoon Haiyan and its storm surge. The data were collected in collaboration with Tanauan Municipality, the Philippines. The data for the inundation map were obtained by field surveys conducted on-site to determine the cause of the damages inferred from satellite data. The maximum wind speed was derived from the Holland parametric hurricane model based on the Japan Meteorological Agency (JMA) typhoon track data and the inundation depth of storm surge was calculated using the MIKE model. Multinomial logistic regression was used to develop a model to identify the significant factors influencing the damage to buildings. The result of this work is expected to be used to prepare urban plans for preventing damage from future storms.
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页码:822 / 832
页数:11
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