干旱区生态环境知识资源中心(Arid): Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran

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DOI	10.1016/j.atmosres.2020.105322
	Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran
	Mohammadpour, Kaveh; Sciortino, Maurizio; Saligheh, Mohammad; Raziei, Tayeb; Boloorani, Ali Darvishi
通讯作者	Mohammadpour, K (corresponding author), Kharazmi Univ, Fac Geog Sci, Dept Climatol, Tehran, Iran. ; Mohammadpour, K (corresponding author), Italian Natl Agcy New Technol Energy & Sustainabl, Rome, Italy.
来源期刊	ATMOSPHERIC RESEARCH
ISSN	0169-8095
EISSN	1873-2895
出版年	2021
卷号	249
英文摘要	Extraordinary dry conditions on the desert and arid areas in Iran, along with strong influences from surrounding dust sources in the Middle East and Arabia, have exposed the country to substantial amounts of dust aerosols with serious impacts on environment, health and socio-economic aspects. Considering this threat, daily aerosol optical depth (AOD) data over Iran obtained from the Monitoring Atmospheric Composition and Climate (MACC) reanalysis during 2003-2012 were used to analyze the spatial and temporal patterns of total AOD (TAOD) and dust AOD (DAOD). This study identifies the areas mostly affected by TAOD and DAOD in terms of daily average values and the areas associated with distinct temporal patterns, utilizing S-mode and T-mode principal component analysis (PCA). The analysis reveals six distinct sub-regions in southeast, west-northwest, northeast, east, central and southwest of Iran, which are among the major centers influenced by TAOD and DAOD extremes. The main findings of the T-mode results, consistent with TAOD and DAOD S-mode patterns, are (i) the maximum dust loading over the eastern, southeastern and southwestern subregions in March and May, (ii) dust loading with peaks in November over the eastern and northeastern sub-regions; (iii) maximum number of dusty days in July and August over southwest, (iv) maximum dust in July over southeastern and Central Iran, (v) a dust pattern with identical extent over the west and northwest sub-region in March and October and, (vi) a prevailing dust loading over the dry areas (Lut desert, Sistan plain and southwest edge of the territory) in October. The spatiotemporal evolution of dust is a function of the growth and expansion of dust extremes originated from various sources in Iran and the Middle East. The PCA methodology, through simplification of aerosol distribution to simpler structures, was also incorporated to provide a geographical interpretation of the highly sensitive territory of Iran.
英文关键词	Regionalization atmospheric dust Total AOD Dust AOD MACC Iran
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000596388900002
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/347746
作者单位	[Mohammadpour, Kaveh; Saligheh, Mohammad] Kharazmi Univ, Fac Geog Sci, Dept Climatol, Tehran, Iran; [Mohammadpour, Kaveh; Sciortino, Maurizio] Italian Natl Agcy New Technol Energy & Sustainabl, Rome, Italy; [Raziei, Tayeb] Soil Conservat & Watershed Management Res Inst SC, Tehran, Iran; [Boloorani, Ali Darvishi] Univ Tehran, Fac Geog, Dept Remote Sensing & GIS, Tehran, Iran
推荐引用方式 GB/T 7714	Mohammadpour, Kaveh,Sciortino, Maurizio,Saligheh, Mohammad,et al. Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran[J],2021,249.
APA	Mohammadpour, Kaveh,Sciortino, Maurizio,Saligheh, Mohammad,Raziei, Tayeb,&Boloorani, Ali Darvishi.(2021).Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran.ATMOSPHERIC RESEARCH,249.
MLA	Mohammadpour, Kaveh,et al."Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran".ATMOSPHERIC RESEARCH 249(2021).