干旱区生态环境知识资源中心(Arid): Persistence and spatial-temporal variability of drought severity in Iran

Arid

DOI	10.1007/s11356-021-14100-4
	Persistence and spatial-temporal variability of drought severity in Iran
	Noorisameleh, Zahra; Gough, William A.; Mirza, M. Monirul Qader
通讯作者	Noorisameleh, Z (corresponding author), Univ Toronto Scarborough, Dept Phys & Environm Sci, Toronto, ON M1C 1A4, Canada.
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
出版年	2021
英文摘要	Drought is a natural hazard that can inflict significant damage to agriculture, society, economy, and ecosystems. The assessment of the persistence of drought severity (PDS) assists in understanding the characteristics of droughts better and enables the development of associated prediction tools and models. This work explores the persistence and spatial-temporal variability of drought severity (DS) in the diverse dryland of Iran. Using monthly precipitation and temperature data of 44 synoptic stations from 1989 to 2018, relationships between DS coefficient of precipitation variation, aridity, and the persistence percentage are determined by the application of the standardized precipitation index (SPI), the dryland index, and the Hurst exponent (H). The results confirm the persistence of droughts in Iran as H exceeded the 0.5 threshold for all stations. The PDS average in Iran is 0.78 with high regional variability reflective of different climatic conditions and geographical locations. An inverse relationship exists between the long-term coefficient of variation of monthly precipitation and PDS in the hyper-arid and arid regions of watersheds. Higher PDS values and increasing trend in the DS are detected in dry-subhumid areas. Also, the effect of the El Nino-Southern Oscillation (ENSO), a teleconnection metric, on the DS displays high spatial and temporal variability in Iran. The results show that the PDS is consistent with the spatial variation of DS changes during the period of 2009-2018.
英文关键词	Hurst exponent SPI Drought severity Aridity Dryland index Iran
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000645521500003
WOS关键词	HURST EXPONENT ; TREND ANALYSIS ; MANN-KENDALL ; RIVER-BASIN ; RAINFALL ; PRECIPITATION ; ARIDITY ; CHINA ; RISK ; VULNERABILITY
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/2XILL650/352167
作者单位	[Noorisameleh, Zahra; Gough, William A.; Mirza, M. Monirul Qader] Univ Toronto Scarborough, Dept Phys & Environm Sci, Toronto, ON M1C 1A4, Canada
推荐引用方式 GB/T 7714	Noorisameleh, Zahra,Gough, William A.,Mirza, M. Monirul Qader. Persistence and spatial-temporal variability of drought severity in Iran[J],2021.
APA	Noorisameleh, Zahra,Gough, William A.,&Mirza, M. Monirul Qader.(2021).Persistence and spatial-temporal variability of drought severity in Iran.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.
MLA	Noorisameleh, Zahra,et al."Persistence and spatial-temporal variability of drought severity in Iran".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021).