气候变化领域集成服务门户(CCPortal): Comprehensive risk assessment of typhoon disasters in China 's coastal areas based on multi-source geographic big data

CCPortal

DOI	10.1016/j.scitotenv.2024.171815
	Comprehensive risk assessment of typhoon disasters in China 's coastal areas based on multi-source geographic big data
	Wang, Zhenkang; Xia, Nan; Zhao, Xin; Ji, Xiankai; Wang, Jiechen
发表日期	2024
ISSN	0048-9697
EISSN	1879-1026
起始页码	926
卷号	926
英文摘要	Typhoons can bring substantial casualties and economic ramifications, and effective prevention strategies necessitate a comprehensive risk assessment. Nevertheless, existing studies on its comprehensive risk assessment are characterized by coarse spatial scales, limited incorporation of geographic big data, and rarely considering disaster mitigation capacity. To address these problems, this study combined multi -source geographic big data to develop the Comprehensive Risk Assessment Model (CRAM). The model integrated 17 indicators from 4 categories of factors, including exposure, vulnerability, hazard, and mitigation capacity. A subjective -objective combination weighting method was introduced to generate the indicator weights, and comprehensive risk index of typhoon disasters was calculated for 987 counties along China ' s coastal regions. Results revealed a pronounced spatial heterogeneity of the comprehensive typhoon risk, which exhibited an overall decreasing trend from the southeast coastal areas toward the northwest inland territories. 61.7 % of the counties exhibited a medium -to -high level of comprehensive risk, and counties with very -high risks are predominantly concentrated in the Shandong Peninsula, Yangtze River Delta, Hokkien Golden Triangle, Greater Bay Area, Leizhou Peninsula, and Hainan Province, mainly due to high exposure and hazard factors. The correlation coefficient between the risk assessment results and typhoon -induced direct economic losses reached 0.702, indicating the effectiveness and reliability of the CRAM. Meanwhile, indicators from intrinsic attributes of typhoons and geographic big data had pronounced importance, and regional mitigation capacity should be improved. Our proposed method can help to scientifically understand spatial patterns of comprehensive risk and mitigate the effects of typhoon disasters in China ' s coastal regions.
英文关键词	Typhoon disaster; County-level assessment; Comprehensive risk assessment model; Geographic big data; Disaster mitigation capacity
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001218215200001
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/299450
作者单位	Nanjing University; Nanjing University; Nanjing University; Nanjing University
推荐引用方式 GB/T 7714	Wang, Zhenkang,Xia, Nan,Zhao, Xin,et al. Comprehensive risk assessment of typhoon disasters in China 's coastal areas based on multi-source geographic big data[J],2024,926.
APA	Wang, Zhenkang,Xia, Nan,Zhao, Xin,Ji, Xiankai,&Wang, Jiechen.(2024).Comprehensive risk assessment of typhoon disasters in China 's coastal areas based on multi-source geographic big data.SCIENCE OF THE TOTAL ENVIRONMENT,926.
MLA	Wang, Zhenkang,et al."Comprehensive risk assessment of typhoon disasters in China 's coastal areas based on multi-source geographic big data".SCIENCE OF THE TOTAL ENVIRONMENT 926(2024).