干旱区生态环境知识资源中心(Arid): Regional classification of extreme droughts across Iran

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DOI	10.1007/s11600-023-01254-7
	Regional classification of extreme droughts across Iran
	Fathian, Farshad; Dehghan, Zohreh; Alee, Mohammed Mustafa; Vaheddoost, Babak; Abualigah, Laith; Mehr, Ali Danandeh
通讯作者	Mehr, AD
来源期刊	ACTA GEOPHYSICA
ISSN	1895-6572
EISSN	1895-7455
出版年	2024
卷号	72 期号:5 页码:3485-3509
英文摘要	In arid and semi-arid regions like Iran, sustainable urban and agricultural development is intimately intertwined with the severity, frequency, and duration of meteorological droughts. Prolonged meteorological droughts can trigger hydrological and socio-economic droughts, posing significant challenges to the region's sustainability. Therefore, the primary objective of this study is to perform a comprehensive Regional Frequency Analysis (RFA) for extreme meteorological drought events across Iran. To this end, we meticulously calculated the severity, duration, and magnitude of the Standardized Precipitation Index (SPI) over the 3-, 6-, 9-, and 12-month accumulation periods. The data was derived from monthly precipitation records collected at 106 meteorological stations during the period spanning 1993-2016. Subsequently, we employed a rigorous approach, utilizing Ward's clustering analysis and the test for heterogeneity using L-moment, to effectively classify and categorize the extreme drought characteristics prevalent across the country. The analysis revealed that the generalized Pareto and Pearson type 3 models are the most suitable distribution functions for RFA across almost all the examined clusters. Additionally, the spatiotemporal analysis of the SPI series at various time scales indicated that the extreme events' characteristics, such as severity, duration, and magnitude, remain surprisingly unaffected by the local climate conditions. The results also showed that even in the typically humid regions located in the north, west, and northwest of Iran, areas that receive considerable annual precipitation, severe droughts can still occur. These droughts primarily stem from temporal events rather than being solely dependent on the local climate conditions. Therefore, the study concludes that the drought events can largely be attributed to mismanagement and inadequate regional water allocation. Moreover, these situations might have been further exacerbated by the occurrence of extreme climatic conditions.
英文关键词	Cluster analysis Standardized precipitation index Drought severity Sustainable development Iran
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001128672800002
WOS关键词	FREQUENCY-ANALYSIS ; SOIL-MOISTURE ; HOT DAYS ; PRECIPITATION ; VARIABILITY ; BASIN ; MAGNITUDE ; PATTERNS ; INDEXES ; TRENDS
WOS类目	Geochemistry & Geophysics
WOS研究方向	Geochemistry & Geophysics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/402599
推荐引用方式 GB/T 7714	Fathian, Farshad,Dehghan, Zohreh,Alee, Mohammed Mustafa,et al. Regional classification of extreme droughts across Iran[J],2024,72(5):3485-3509.
APA	Fathian, Farshad,Dehghan, Zohreh,Alee, Mohammed Mustafa,Vaheddoost, Babak,Abualigah, Laith,&Mehr, Ali Danandeh.(2024).Regional classification of extreme droughts across Iran.ACTA GEOPHYSICA,72(5),3485-3509.
MLA	Fathian, Farshad,et al."Regional classification of extreme droughts across Iran".ACTA GEOPHYSICA 72.5(2024):3485-3509.