干旱区生态环境知识资源中心(Arid): Drought Vulnerability Curves Based on Remote Sensing and Historical Disaster Dataset

Arid

DOI	10.3390/rs15030858
	Drought Vulnerability Curves Based on Remote Sensing and Historical Disaster Dataset
	Jia, Huicong; Chen, Fang; Du, Enyu; Wang, Lei
通讯作者	Chen, F
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:3
英文摘要	As drought vulnerability assessment is fundamental to risk management, it is urgent to develop scientific and reasonable assessment models to determine such vulnerability. A vulnerability curve is the key to risk assessment of various disasters, connecting analysis of hazard and risk. To date, the research on vulnerability curves of earthquakes, floods and typhoons is relatively mature. However, there are few studies on the drought vulnerability curve, and its application value needs to be further confirmed and popularized. In this study, on the basis of collecting historical disaster data from 52 drought events in China from 2009 to 2013, three drought remote sensing indexes were selected as disaster-causing factors; the affected population was selected to reflect the overall disaster situation, and five typical regional drought vulnerability curves were constructed. The results showed that (1) in general, according to the statistics of probability distribution, most of the normalized difference vegetation index (NDVI) and the temperature vegetation drought index (TVDI) variance ratios were concentrated between 0 and similar to 0.15, and most of the enhanced vegetation index (EVI) variance ratios were concentrated between 0.15 and similar to 0.6. From a regional perspective, the NDVI and EVI variance ratio values of the northwest inland perennial arid area (NW), the southwest mountainous area with successive years of drought (SW), and the Hunan Hubei Jiangxi area with sudden change from drought to waterlogging (HJ) regions were close and significantly higher than the TVDI variance ratio values. (2) Most of the losses (drought at-risk populations, DRP) were concentrated in 0 similar to 0.3, with a cumulative proportion of about 90.19%. At the significance level, DRP obeys the Weibull distribution through hypothesis testing, and the parameters are optimal. (3) The drought vulnerability curve conformed to the distribution rule of the logistic curve, and the line shape was the growth of the loss rate from 0 to 1. It was found that the arid and ecologically fragile area in the farming pastoral ecotone (AP) region was always a high-risk area with high vulnerability, which should be the focus of drought risk prevention and reduction. The study reduces the difficulty of developing the vulnerability curve, indicating that the method can be widely used to other regions in the future. Furthermore, the research results are of great significance to the accurate drought risk early warning or whether to implement the national drought disaster emergency rescue response.
英文关键词	remote sensing index vulnerability curve drought risk historical disaster dataset China
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000930416000001
WOS关键词	RISK-ASSESSMENT ; VEGETATION ; CHINA ; INDEX ; TEMPERATURE ; MANAGEMENT ; RESPONSES ; IMPACTS ; DAMAGE ; MAIZE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398231
推荐引用方式 GB/T 7714	Jia, Huicong,Chen, Fang,Du, Enyu,et al. Drought Vulnerability Curves Based on Remote Sensing and Historical Disaster Dataset[J],2023,15(3).
APA	Jia, Huicong,Chen, Fang,Du, Enyu,&Wang, Lei.(2023).Drought Vulnerability Curves Based on Remote Sensing and Historical Disaster Dataset.REMOTE SENSING,15(3).
MLA	Jia, Huicong,et al."Drought Vulnerability Curves Based on Remote Sensing and Historical Disaster Dataset".REMOTE SENSING 15.3(2023).