The catastrophic earthquake that struck Sichuan Province, China, in 2008 caused serious damage to Wenchuan County and surrounding areas in southwestern China. In recent years, great attention has been paid to the resilience of the affected area. This study applied the resilience inference measurement (RIM) model to quantify and validate the community resilience of 105 counties in the impacted area. The RIM model uses cluster analysis to classify counties into four resilience levels according to the exposure, damage, and recovery conditions. The model then applies discriminant analysis to quantify the influence of socioeconomic characteristics on the county’s resilience. Analysis results show that counties located at the epicenter had the lowest resilience, but counties immediately adjacent to the epicenter had the highest resilience capacities. Counties that were farther away from the epicenter returned to normal resiliency quickly. Socioeconomic variables—including sex ratio, per capita GDP, percent of ethnic minority, and medical facilities—were identified as the most influential characteristics influencing resilience. This study provides useful information to improve county resilience to earthquakes and support decision making for sustainable development.
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School of Automation,University of Electronic Science and Technology of China
Department of Environmental Sciences,Louisiana State UniversitySchool of Automation,University of Electronic Science and Technology of China
Xiaolu Li
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Nina Lam
Yi Qiang
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The Earth Lab,University of Colorado BoulderSchool of Automation,University of Electronic Science and Technology of China
Yi Qiang
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Kenan Li
Lirong Yin
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Geographical & Sustainability Sciences Department,University of IowaSchool of Automation,University of Electronic Science and Technology of China
Lirong Yin
Shan Liu
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School of Automation,University of Electronic Science and Technology of ChinaSchool of Automation,University of Electronic Science and Technology of China
Shan Liu
Wenfeng Zheng
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School of Automation,University of Electronic Science and Technology of China
Department of Environmental Sciences,Louisiana State UniversitySchool of Automation,University of Electronic Science and Technology of China
机构:
Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
Chinese Acad Sci, Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
Zhang, Huaizhen
Wang, Xiaomeng
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
Chinese Acad Sci, Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
Wang, Xiaomeng
Fan, Jianrong
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Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R ChinaChinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
Fan, Jianrong
Chi, Tianhe
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
Chi, Tianhe
Yang, Shun
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Chinese Geol Survey, Tech Ctr Geol Hazard Prevent & Control, Chengdu 611734, Peoples R ChinaChinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
Yang, Shun
Peng, Ling
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
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Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R ChinaWuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R China
Xu, C. J.
Fan, Q. B.
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Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R ChinaWuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R China
Fan, Q. B.
Wang, Q.
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China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Peoples R ChinaWuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R China
Wang, Q.
Yang, S. M.
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China Earthquake Adm, Inst Seismol, Wuhan, Peoples R China
Hubei Earthquake Adm, Wuhan, Peoples R ChinaWuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R China
Yang, S. M.
Jiang, G. Y.
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China Earthquake Adm, Inst Geol, Beijing, Peoples R ChinaWuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R China