Spatial pattern of the population casualty rate caused by super typhoon Lekima and quantification of the interactive effects of potential impact factors

doi:10.1186/s12889-021-11281-y

	Spatial pattern of the population casualty rate caused by super typhoon Lekima and quantification of the interactive effects of potential impact factors
	Zhang,Xiangxue 3,4; Nie,Juan 5; Cheng,Changxiu 2,3,6; Xu,Chengdong 4; Xu,Xiaojun 1; Yan,Bin 4
刊名	BMC Public Health
	2021-06-29
卷号	21 期号:1
关键词	GeoDetector Lekima Spatial pattern Population casualty Interactive effects
DOI	10.1186/s12889-021-11281-y
通讯作者	Cheng,Changxiu(chengcx@bnu.edu.cn) ; Xu,Chengdong(xucd@lreis.ac.cn)
英文摘要	AbstractBackgroundTyphoons greatly threaten human life and property, especially in China. Therefore, it is important to make effective policy decisions to minimize losses associated with typhoons.MethodsIn this study, the GeoDetector method was used to quantify the determinant powers of natural and socioeconomic factors, and their interactions, on the population casualty rate of super typhoon Lekima. The local indicator of spatial association (LISA) method was followed to explore the spatial pattern of the population casualty rate under the influence of the identified dominant factors.ResultsBoth natural and socioeconomic factors were found to have significantly impacted the population casualty rate due to super typhoon Lekima. Among the selected factors, maximum precipitation was dominant factor (q?=?0.56), followed by maximum wind speed (q?=?0.45). In addition, number of health technicians (q?=?0.35) and number of health beds (q?=?0.27) have a strong influence on the population casualty rate. Among the interactive effects of 12 influencing factors, the combined effects of maximum precipitation and ratio of brick-wood houses, the maximum precipitation and ratio of steel-concrete houses, maximum precipitation and number of health technicians were highest (q?=?0.72). Furthermore, high-risk areas with very high casualty rates were concentrated in the southeastern part of Zhejiang and northern Shandong Provinces, while lower-risk areas were mainly distributed in northern Liaoning and eastern Jiangsu provinces.ConclusionsThese results contribute to the development of more specific policies aimed at safety and successful property protection according to the regional differences during typhoons.
语种	英语
出版者	BioMed Central
WOS记录号	BMC:10.1186/S12889-021-11281-Y
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162984]
专题	中国科学院地理科学与资源研究所
通讯作者	Cheng,Changxiu; Xu,Chengdong
作者单位	1.South China Agricultural University; College of Forestry and Landscape Architecture 2.National Tibetan Plateau Data Center 3.Beijing Normal University; Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education 4.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences; State Key Laboratory of Resources and Environmental Information System 5.National Disaster Reduction Center of China, Ministry of Emergency Management 6.Beijing Normal University; State Key Laboratory of Earth Surface Processes and Resource Ecology
推荐引用方式 GB/T 7714	Zhang,Xiangxue,Nie,Juan,Cheng,Changxiu,et al. Spatial pattern of the population casualty rate caused by super typhoon Lekima and quantification of the interactive effects of potential impact factors[J]. BMC Public Health,2021,21(1).
APA	Zhang,Xiangxue,Nie,Juan,Cheng,Changxiu,Xu,Chengdong,Xu,Xiaojun,&Yan,Bin.(2021).Spatial pattern of the population casualty rate caused by super typhoon Lekima and quantification of the interactive effects of potential impact factors.BMC Public Health,21(1).
MLA	Zhang,Xiangxue,et al."Spatial pattern of the population casualty rate caused by super typhoon Lekima and quantification of the interactive effects of potential impact factors".BMC Public Health 21.1(2021).