Spatial-temporal analysis of community resilience to multi-hazards in the Anning River basin, Southwest China

doi:10.1016/j.ijdrr.2019.101144

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 山区发展研究中心

	Spatial-temporal analysis of community resilience to multi-hazards in the Anning River basin, Southwest China
	Tian, Cong-shan 1,2; Fang, Yi-ping1,3 ; Yang, Liang Emlyn 4,5; Zhang, Chen-jia 1,2
刊名	INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
	2019-10-01
卷号	39 页码:9
关键词	Community resilience Multi-hazards Influencing factors Southwest China
ISSN号	2212-4209
DOI	10.1016/j.ijdrr.2019.101144
通讯作者	Fang, Yi-ping(ypfang@imde.ac.cn)
英文摘要	Multi-hazards stress is an important factor that hinders social and economic development in disaster-prone areas. Assessing and improving community resilience has become an effective strategy for reducing the impacts of natural hazards and enhancing adaptive risk management. This study developed a novel framework for community resilience assessments based on five dimensions: original condition before hazard (OC), coping capability (CC), adaptative capability (AC), hazard loss (HL), and hazard exposure (HE). The Anning River basin in Southwest China was chosen as the study area to describe the spatial-temporal changes of community resilience to multi-hazards (including landslides, rock falls and debris flows), as well as to identify its critical influencing factors. The results showed that the model can accurately evaluate the changing trends of community resilience. Community resilience in the Anning River basin fluctuated greatly over the past 15 years, with significant increasing trends during 2000-2002, 2004-2011, and 2012-2014. Community resilience was significantly positively correlated with OC, CC, and AC, and negatively correlated with HL and HE. Comparing influencing factors in typical counties, public infrastructure investment, availability of television services, labor employment, medical condition and Engel coefficient are the most common key factors that influenced community resilience. Methods to improve community resilience in different regions were suggested based on these findings.
资助项目	National Natural Science Foundation of China[41661134012] ; National Natural Science Foundation of China[41661144038] ; National Natural Science Foundation of China[41671152] ; National Key Basic Research Program of China (973 program)[2013CBA01808] ; National Key Technology Research and Development Program of the Ministry of Science and Technology of China[2014BAC05B01]
WOS关键词	DISASTER RESILIENCE ; VULNERABILITY ; FRAMEWORK ; METAPHOR ; POLICY ; MODEL ; INDEX
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000487835400034
资助机构	National Natural Science Foundation of China ; National Key Basic Research Program of China (973 program) ; National Key Technology Research and Development Program of the Ministry of Science and Technology of China
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/27147]
专题	成都山地灾害与环境研究所_山区发展研究中心
通讯作者	Fang, Yi-ping
作者单位	1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 4.Univ Kiel, Grad Sch Human Dev Landscapes, Kiel, Germany 5.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Tian, Cong-shan,Fang, Yi-ping,Yang, Liang Emlyn,et al. Spatial-temporal analysis of community resilience to multi-hazards in the Anning River basin, Southwest China[J]. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,2019,39:9.
APA	Tian, Cong-shan,Fang, Yi-ping,Yang, Liang Emlyn,&Zhang, Chen-jia.(2019).Spatial-temporal analysis of community resilience to multi-hazards in the Anning River basin, Southwest China.INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,39,9.
MLA	Tian, Cong-shan,et al."Spatial-temporal analysis of community resilience to multi-hazards in the Anning River basin, Southwest China".INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 39(2019):9.