کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6342790 1620500 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
In-depth discrimination of aerosol types using multiple clustering techniques over four locations in Indo-Gangetic plains
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علم هواشناسی
پیش نمایش صفحه اول مقاله
In-depth discrimination of aerosol types using multiple clustering techniques over four locations in Indo-Gangetic plains
چکیده انگلیسی


- AOD-AE clustering techniques (CT) discriminate two major aerosol types.
- EAE-AAE, EAE-SSA and EAE-RRI CT discriminate three major aerosol types.
- During summer and pre-monsoon, dust aerosols were dominant.
- Biomass burning & urban industrial aerosols were dominant in winter & post-monsoon.
- Aerosol major types discriminated from AERONET were in good agreement with CALIPSO.

Discrimination of aerosol types is essential over the Indo-Gangetic plain (IGP) because several aerosol types originate from different sources having different atmospheric impacts. In this paper, we analyzed a seasonal discrimination of aerosol types by multiple clustering techniques using AERosol RObotic NETwork (AERONET) datasets for the period 2007-2013 over Karachi, Lahore, Jaipur and Kanpur. We discriminated the aerosols into three major types; dust, biomass burning and urban/industrial. The discrimination was carried out by analyzing different aerosol optical properties such as Aerosol Optical Depth (AOD), Angstrom Exponent (AE), Extinction Angstrom Exponent (EAE), Abortion Angstrom Exponent (AAE), Single Scattering Albedo (SSA) and Real Refractive Index (RRI) and their interrelationship to investigate the dominant aerosol types and to examine the variation in their seasonal distribution. The results revealed that during summer and pre-monsoon, dust aerosols were dominant while during winter and post-monsoon prevailing aerosols were biomass burning and urban industrial, and the mixed type of aerosols were present in all seasons. These types of aerosol discriminated from AERONET were in good agreement with CALIPSO (the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) measurement.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Atmospheric Research - Volume 181, 15 November 2016, Pages 106-114
نویسندگان
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