干旱区生态环境知识资源中心(Arid): A hybrid drought Index for assessing agricultural drought in arid and semi-arid coastal areas of Southern Iran

Arid

DOI	10.1007/s13762-022-04145-3
	A hybrid drought Index for assessing agricultural drought in arid and semi-arid coastal areas of Southern Iran
	Azhdari, Z.; Bazrafshan, J.
通讯作者	Bazrafshan, J
来源期刊	INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
ISSN	1735-1472
EISSN	1735-2630
出版年	2022
英文摘要	Precipitation and seasonal streamflow are the two major sources of water for vegetation cover in arid and semi-arid regions. A simple and novel hybrid drought index is presented in this study to assess the joint effects of precipitation and streamflow on vegetation cover in seven coastal sub-basins in southern Iran. To this end, the Standardized Precipitation Index (SPI) and the Streamflow Drought Index (SDI) were used to track meteorological and hydrological droughts, respectively. The suggested index in this study, called the Entropy-based Drought Index (EnDI), combines SPI and SDI utilizing the entropy weighing approach. The capability of the entropy method to construct hybrid index and capture various drought features was compared to the widely used copula function approach. The hybrid index in the latter case was called the Copula-based Drought Index (CoDI). The results indicated that the rank correlation (r(s)) between SPI and SDI varied between 0.327 and 0.726 in the studied sub-basins. However, the two hybrid indices EnDI and CoDI exhibited extremely high correlations (r(s) >= 0.9). The SPI benefited both hybrid drought indices more than the SDI, and the contribution of SPI to EnDI was higher than its contribution to CoDI. EnDI had stronger associations with the Normalized Vegetation Difference Index in nearly all the sub-basins, possibly because precipitation had a larger effect of on EnDI than CoDI. As a result, EnDI was recommended as a superior index for assessing vegetation droughts across the research region.
英文关键词	Drought Precipitation Streamflow Copula Entropy Vegetation Coastal basin Iran
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000788486300001
WOS关键词	STANDARDIZED PRECIPITATION INDEX ; VEGETATION ; COPULAS ; MODEL
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393187
推荐引用方式 GB/T 7714	Azhdari, Z.,Bazrafshan, J.. A hybrid drought Index for assessing agricultural drought in arid and semi-arid coastal areas of Southern Iran[J],2022.
APA	Azhdari, Z.,&Bazrafshan, J..(2022).A hybrid drought Index for assessing agricultural drought in arid and semi-arid coastal areas of Southern Iran.INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY.
MLA	Azhdari, Z.,et al."A hybrid drought Index for assessing agricultural drought in arid and semi-arid coastal areas of Southern Iran".INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2022).