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DOI	10.1111/nrm.12237
	A copula-based index for drought analysis in arid and semi-arid regions of Iran
	Bazrafshan, Ommolbanin 1; Zamani, Hossein 2; Shekari, Marzieh 2
通讯作者	Bazrafshan, Ommolbanin ; Zamani, Hossein
来源期刊	NATURAL RESOURCE MODELING
ISSN	0890-8575
EISSN	1939-7445
出版年	2020
卷号	33 期号:1
英文摘要	The copula functions are frequently used by researchers for modeling dependence structure among the correlated attributes in many areas. The copulas are widely used for the analysis of drought frequency, drought characteristics, drought coincidence risk, uncertainty, and drought forecasting. In this research, we have compared two indices of drought assessment, including SPI-12 and copula-based joint deficit index (JDI). In this regard, the drought characteristics, including the severity, duration, and drought frequency have been studied in 25 synoptic stations of Iran during the 1968-2014. The results showed that, unlike JDI, the SPI-12 is not able to estimate the drought peak during the critical and extreme condition. Although JDI has identified a severe and extreme drought during the pervasive drought, the SPI-12 estimated a normal condition. The results show that JDI accurately estimates the drought frequency, but the SPI-12 provided an unexpected estimation is some stations. In addition, the MannKendal trend test for drought characteristics represents that JDI accurately estimates the expected trend (an increasing trend) whereas the SPI-12 exhibits no significant trend in most stations. Finally, JDI provides a comprehensive assessment of drought for decision-makers and natural managers.
英文关键词	drought characteristics empirical copula joint deficit index multivariate analysis trend analysis
类型	Article
语种	英语
国家	Iran
收录类别	SCI-E
WOS记录号	WOS:000481210200001
WOS关键词	TREND ; PRECIPITATION ; RDI
WOS类目	Environmental Sciences ; Mathematics, Interdisciplinary Applications
WOS研究方向	Environmental Sciences & Ecology ; Mathematics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217726
作者单位	1.Univ Hormozgan, Fac Agr & Nat Resources Engn, Dept Nat Resources Engn, Bandar Abbas 7916193145, Iran; 2.Univ Hormozgan, Fac Sci, Dept Math & Stat, Bandar Abbas 7916193145, Iran
推荐引用方式 GB/T 7714	Bazrafshan, Ommolbanin,Zamani, Hossein,Shekari, Marzieh. A copula-based index for drought analysis in arid and semi-arid regions of Iran[J],2020,33(1).
APA	Bazrafshan, Ommolbanin,Zamani, Hossein,&Shekari, Marzieh.(2020).A copula-based index for drought analysis in arid and semi-arid regions of Iran.NATURAL RESOURCE MODELING,33(1).
MLA	Bazrafshan, Ommolbanin,et al."A copula-based index for drought analysis in arid and semi-arid regions of Iran".NATURAL RESOURCE MODELING 33.1(2020).