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Impact of PM2.5 chemical compositions on aerosol light scattering in Guangzhou - the largest megacity in South China
Tao, J (Tao, Jun)[ 1,2 ]; Zhang, LM (Zhang, Leiming)[ 2,3 ]; Ho, KF (Ho, Kinfai)[ 4 ]; Zhang, RJ (Zhang, Renjian)[ 2 ]; Lin, ZJ (Lin, Zejian)[ 1 ]; Zhang, ZS (Zhang, Zhisheng)[ 1 ]; Lin, M (Lin, Mang)[ 1 ]; Cao, JJ (Cao, Junji)[ 5 ]; Liu, SX (Liu, Suixing)[ 5 ]; Wang, GH (Wang, Gehui)[ 5 ]
2014-01-15
Source PublicationATMOSPHERIC RESEARCH
Volume135Pages:48-58
Subtype期刊论文
Abstract

Daily PM2.5 samples were collected in Guangzhou - the largest megacity in South China, for a period of one month in each season during 2009-2010. Mass concentrations of water-soluble inorganic ions, organic carbon (OC) and elemental carbon (EC) in PM2.5 were determined, and aerosol scattering coefficient (b(sp)) was synchronously measured. The daily PM2.5 mass concentrations ranged from 21.0 to 213.6 mu g m(-3) with an annual average of 76.8 +/- 41.5 mu g m(-3). The highest seasonal average PM2.5 was observed in winter (103.3 +/- 50.1 mu g m(-3)) and the lowest in summer (38.6 +/- 15.7 mu g m(-3)). Annual average PM2.5 mass scattering efficiency (MSE) was 3.5 +/- 0.9 m(2) g(-1), with obvious seasonal variations in sequence of autumn (4.5 +/- 0.2 m(2) g(-1)) > winter (3.9 +/- 0.5 m(2) g(-1)) > spring (3.0 +/- 0.4 m(2) g(-1)) > summer (2.3 +/- 0.3 m(2) g(-1)). To determine the relationship between b and the chemical components of PM2.5, b(sp) was reconstructed in each season using the original IMPROVE formula with a modification of including sea salt aerosols. The estimated bsp using this method was 22 +/- 28% smaller on annual average compared to the measurements. Multiple linear regression of measured b(sp) against (NH4)(2)SO4, NH4NO3, OM (Organic Mass), SS (Sea Salt), FS (Fine Soil), and CM (Coarse Mass) were also performed in all the four seasons. The estimated b(sp) from using the regression equation was 4 +/- 12% larger than the measured values. On average, (NH4)(2)SO4, NH4NO3, OM, SS, FS and CM accounted for 50 +/- 11%, 18 +/- 10%, 19 +/- 5%, 5 +/- 4%, 3 +/- 2% and 5 +/- 6%, respectively, of the estimated b(sp).

KeywordPm2.5 Aerosol Chemical Composition Aerosol Scattering Coefficient Urban Aerosols
DOI10.1016/j.atmosres.2013.08.015
Indexed BySCI ; EI
Language英语
Citation statistics
Cited Times:106[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/9790
Collection粉尘与环境研究室
Corresponding AuthorHo, KF (Ho, Kinfai)[ 4 ]; Zhang, RJ (Zhang, Renjian)[ 2 ]
Affiliation1.South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, China;
2.RCE-TEA, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;
3.Air Quality Research Division, Science Technology Branch, Environment Canada, Toronto, Canada;
4.School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China;
5.Key Laboratory of Aerosol, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
Recommended Citation
GB/T 7714
Tao, J ,Zhang, LM ,Ho, KF ,et al. Impact of PM2.5 chemical compositions on aerosol light scattering in Guangzhou - the largest megacity in South China[J]. ATMOSPHERIC RESEARCH,2014,135:48-58.
APA Tao, J .,Zhang, LM .,Ho, KF .,Zhang, RJ .,Lin, ZJ .,...&Wang, GH .(2014).Impact of PM2.5 chemical compositions on aerosol light scattering in Guangzhou - the largest megacity in South China.ATMOSPHERIC RESEARCH,135,48-58.
MLA Tao, J ,et al."Impact of PM2.5 chemical compositions on aerosol light scattering in Guangzhou - the largest megacity in South China".ATMOSPHERIC RESEARCH 135(2014):48-58.
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