Aerosol columnar characteristics and their heterogeneous nature over Varanasi, in the central Ganges valley

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作者
Shani Tiwari
Dimitris Kaskaoutis
Vijay Kumar Soni
Shiv Dev Attri
Abhay Kumar Singh
机构
[1] Banaras Hindu University,Atmospheric Research Laboratory, Department of Physics
[2] Nagoya University,Present Address: Graduate School of Environmental Studies
[3] Institute for Environmental Research and Sustainable Development,Atmospheric Research Team
[4] National Observatory of Athens,DST
[5] India Meteorological Department,Mahamana Centre of Excellence in Climate Change Research
[6] B.H.U,undefined
关键词
Aerosol properties; Aerosol types; Seasonality; Source apportionment; Indo–Gangetic Basin;
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摘要
The Indo–Gangetic Basin (IGB) experiences one of the highest aerosol loading over the globe with pronounced inter-/intra-seasonal variability. Four-year (January 2011–December 2014) continuous MICROTOPS-II sun-photometer measurements at Varanasi, central Ganges valley, provide an opportunity to investigate the aerosol physical and optical properties and their variability. A large variation in aerosol optical depth (AOD: from 0.23 to 1.89, mean of 0.82 ± 0.31) and Ångström exponent (AE: from 0.19 to 1.44, mean of 0.96 ± 0.27) is observed, indicating a highly turbid atmospheric environment with significant heterogeneity in aerosol sources, types and optical properties. The highest seasonal means of both AOD and AE are observed in the post-monsoon (October–November) season (0.95 ± 0.31 for AOD and 1.16 ± 0.14 for AE) followed by winter (December, January, February; 0.97 ± 0.34 for AOD and 1.09 ± 0.20 for AE) and are mainly attributed to the accumulation of aerosols from urban and biomass/crop residue burning emissions within a shallow boundary layer. In contrast, during the pre-monsoon and monsoon seasons, the aerosols are mostly coming from natural origin (desert and mineral dust) mixed with pollution in several cases. The spectral dependence of AE, the aerosol “curvature” effect and other graphical techniques are used for the identification of the aerosol types and their mixing processes in the atmosphere. Furthermore, the aerosol source–apportionment assessment using the weighted potential source contribution function (WPSCF) analysis reveals the different aerosol types, emission sources and transport pathways.
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页码:24726 / 24745
页数:19
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