干旱区生态环境知识资源中心(Arid): Impact-based evaluation of multivariate drought indicators for drought monitoring in China

Arid

DOI	10.1016/j.gloplacha.2023.104219
	Impact-based evaluation of multivariate drought indicators for drought monitoring in China
	Zhang, Yitong; Hao, Zengchao; Jiang, Yutong; Singh, Vijay P.
通讯作者	Hao, ZC
来源期刊	GLOBAL AND PLANETARY CHANGE
ISSN	0921-8181
EISSN	1872-6364
出版年	2023
卷号	228
英文摘要	The increasing severity and widespread occurrence of droughts have led to reduced crop productivity, under-scoring the critical importance of improving drought monitoring. Although a variety of studies have highlighted the importance of multivariate drought indicators for tracking drought conditions, studies on the evaluation of their performance for drought monitoring based on drought impacts (e.g., crop yield) in China have been rather limited. This study investigated the performance of four drought indicators, including the Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), self-calibrating Palmer Drought Severity Index (scPDSI), and Standardized Compound Event Indicator (SCEI), for drought monitoring by using crop yields as the reference data from 1980 to 2018 in China. The results demonstrated significant correlations between crop yield and these indicators, with a higher correlation in arid/semi-arid regions than that in humid regions. Based on the mean correlation with crop yields, the multivariate drought indicators can outperform the SPI in certain regions in China (e.g., arid and semi-arid regions). The results highlighted the importance of selecting suitable multivariate drought indicators for monitoring based on regional characteristics. This study can provide valuable insights for drought monitoring and prediction in China, which are useful for drought management and decision-making to reduce drought impacts.
英文关键词	Drought Drought indicator Multivariate drought indicator Monitoring
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001080025700001
WOS关键词	DRY-HOT EVENTS ; AGRICULTURAL DROUGHT ; COMPOUND DRY ; INDEXES ; TRENDS ; SEVERITY ; RISK
WOS类目	Geography, Physical ; Geosciences, Multidisciplinary
WOS研究方向	Physical Geography ; Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396765
推荐引用方式 GB/T 7714	Zhang, Yitong,Hao, Zengchao,Jiang, Yutong,et al. Impact-based evaluation of multivariate drought indicators for drought monitoring in China[J],2023,228.
APA	Zhang, Yitong,Hao, Zengchao,Jiang, Yutong,&Singh, Vijay P..(2023).Impact-based evaluation of multivariate drought indicators for drought monitoring in China.GLOBAL AND PLANETARY CHANGE,228.
MLA	Zhang, Yitong,et al."Impact-based evaluation of multivariate drought indicators for drought monitoring in China".GLOBAL AND PLANETARY CHANGE 228(2023).