干旱区生态环境知识资源中心(Arid): Recommendations for modifying the Standardized Precipitation Index (SPI) for Drought Monitoring in Arid and Semi-arid Regions

Arid

DOI	10.1007/s11269-021-02891-7
	Recommendations for modifying the Standardized Precipitation Index (SPI) for Drought Monitoring in Arid and Semi-arid Regions
	Mahmoudi, Peyman; Ghaemi, Alireza; Rigi, Allahbakhsh; Jahanshahi, Seyed Mahdi Amir
通讯作者	Mahmoudi, P (corresponding author), Univ Sistan & Baluchestan, Fac Geog & Environm Planning, Dept Phys Geog, Zahedan, Iran.
来源期刊	WATER RESOURCES MANAGEMENT
ISSN	0920-4741
EISSN	1573-1650
出版年	2021
卷号	35 期号:10 页码:3253-3275
英文摘要	This study mostly aimed to modify the calculation process of the standardized precipitation index (SPI) to survey the droughts in arid and semi-arid areas. The selection of the best probability distribution functions, selection of the most appropriate probabilistic estimates to assign SPI values to zero precipitations, and recommendation of an appropriate precipitation time series arrangement at different time scales were focused attention to modify the SPI calculation process. The results demonstrated that the probability distribution of the generalized extreme values at monthly, seasonal and annual time scales was the best alternative to calculate the SPI than the default gamma distribution. To assign SPI values to zero precipitation at precipitation time series of arid and semi-arid areas which have a specific seasonal precipitation regime, the statistical center of mass of zero distribution method yielded better results than the maximum likelihood estimation method. Finally, to arrange precipitation time series of arid and semi-arid areas, it was proposed to consider the individual months and seasons as an independent statistical population rather than to consider the entire monthly rainfall time series of these areas as an independent statistical population. This is because if this type of rainfall time series arrangement is not selected, the dry months are shown to be less important while the wet months more important when calculating the SPI.
英文关键词	Iran Generalized extreme value distribution Centre of mass Maximum probability estimation Precipitation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000673332900001
WOS关键词	GAMMA-DISTRIBUTION ; MONTHLY RAINFALL ; GENERATION ; CHINA
WOS类目	Engineering, Civil ; Water Resources
WOS研究方向	Engineering ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364863
作者单位	[Mahmoudi, Peyman; Rigi, Allahbakhsh] Univ Sistan & Baluchestan, Fac Geog & Environm Planning, Dept Phys Geog, Zahedan, Iran; [Ghaemi, Alireza] Univ Sistan & Baluchestan, Fac Engn, Dept Civil Engn, Zahedan, Iran; [Jahanshahi, Seyed Mahdi Amir] Univ Sistan & Baluchestan, Dept Stat, Fac Math Stat & Comp Sci, Zahedan, Iran
推荐引用方式 GB/T 7714	Mahmoudi, Peyman,Ghaemi, Alireza,Rigi, Allahbakhsh,et al. Recommendations for modifying the Standardized Precipitation Index (SPI) for Drought Monitoring in Arid and Semi-arid Regions[J],2021,35(10):3253-3275.
APA	Mahmoudi, Peyman,Ghaemi, Alireza,Rigi, Allahbakhsh,&Jahanshahi, Seyed Mahdi Amir.(2021).Recommendations for modifying the Standardized Precipitation Index (SPI) for Drought Monitoring in Arid and Semi-arid Regions.WATER RESOURCES MANAGEMENT,35(10),3253-3275.
MLA	Mahmoudi, Peyman,et al."Recommendations for modifying the Standardized Precipitation Index (SPI) for Drought Monitoring in Arid and Semi-arid Regions".WATER RESOURCES MANAGEMENT 35.10(2021):3253-3275.