气候变化领域集成服务门户(CCPortal): 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 K.; Sciortino M.; Saligheh M.; Raziei T.; Darvishi Boloorani A.
发表日期	2021
ISSN	0169-8095
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. © 2020 Elsevier B.V.
英文关键词	Dust AOD; Iran; MACC; Regionalization atmospheric dust; Total AOD
语种	英语
scopus关键词	Aerosols; Atmospheric composition; Dust; Multivariant analysis; Aerosol distribution; Aerosol optical depths; Atmospheric dust; Multi variate analysis; Socioeconomic aspects; Spatial and temporal patterns; Spatiotemporal evolution; Temporal pattern; Loading; aerosol; concentration (composition); dust; multivariate analysis; optical depth; regionalization; spatiotemporal analysis; Arabian Peninsula; Middle East
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162172
作者单位	Department of Climatology, Faculty of Geographical Sciences, Kharazmi University, Tehran, Iran; Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Rome, Italy; Soil Conservation and Watershed Management Research Institute (SCWMRI), Tehran, Iran; Department of Remote Sensing and GIS, Faculty of Geography, Tehran University, Iran
推荐引用方式 GB/T 7714	Mohammadpour K.,Sciortino M.,Saligheh M.,et al. Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran[J],2021,249.
APA	Mohammadpour K.,Sciortino M.,Saligheh M.,Raziei T.,&Darvishi Boloorani A..(2021).Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran.Atmospheric Research,249.
MLA	Mohammadpour K.,et al."Spatiotemporal regionalization of atmospheric dust based on multivariate analysis of MACC model over Iran".Atmospheric Research 249(2021).