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Uncertainty assessment of source attribution of PM2.5 and its water-soluble organic carbon content using different biomass burning tracers in positive matrix factorization analysis - a case study in Beijing, China
Tao, Jun1,2,4; Zhang, Leiming3; Zhang, Renjian1; Wu, Yunfei1; Zhang, Zhisheng2; Zhang, Xiaoling5; Tang, Yixi5; Cao, Junji4; Zhang, Yuanhang6
2016-02-01
发表期刊SCIENCE OF THE TOTAL ENVIRONMENT
卷号543期号:2016页码:326-335
文章类型Article
摘要Daily PM2.5 samples were collected at an urban site in Beijing during four one-month periods in 2009-2010, with each period in a different season. Samples were subject to chemical analysis for various chemical components including major water-soluble ions, organic carbon (OC) and water-soluble organic carbon (WSOC), element carbon (EC), trace elements, anhydrosugar levoglucosan (LG), and mannosan (MN). Three sets of source profiles of PM2.5 were first identified through positive matrix factorization (PMF) analysis using single or combined biomass tracers non-sea salt potassium (nss-K+), LG, and a combination of nss-K+ and LG. The six major source factors of PM2.5 included secondary inorganic aerosol, industrial pollution, soil dust, biomass burning, traffic emission, and coal burning, which were estimated to contribute 31 +/- 37%, 39 +/- 28%, 14 +/- 14%, 7 +/- 7%, 5 +/- 6%, and 4 +/- 8%, respectively, to PM2.5 mass if using the nss-K+ source profiles, 22 +/- 19%, 29 +/- 17%, 20 +/- 20%, 13 +/- 13%, 12 +/- 10%, and 4 +/- 6%, respectively, if using the LG source profiles, and 21 +/- 17%, 31 +/- 18%, 19 +/- 19%, 11 +/- 12%, 14 +/- 11%, and 4 +/- 6%, respectively, if using the combined nss-K+ and LG source profiles. The uncertainties in the estimation of biomass burning contributions to WSOC due to the different choices of biomass burning tracers were around 3% annually and up to 24% seasonally in terms of absolute percentage contributions, or on a factor of 1.7 annually and up to a factor of 33 seasonally in terms of the actual concentrations. The uncertainty from the major source (e.g. industrial pollution) was on a factor of 1.9 annually and up to a factor of 2.5 seasonally in the estimated WSOC concentrations. (C) 2015 Elsevier B.V. All rights reserved.
关键词Source Apportionment Biomass Burning Tracers Source Profiles
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1016/j.scitotenv.2015.11.057
关键词[WOS]SOUTHEASTERN UNITED-STATES ; LONG-RANGE TRANSPORT ; PARTICULATE MATTER ; CHEMICAL-CHARACTERIZATION ; AEROSOL FORMATION ; SOURCE APPORTIONMENT ; URBAN-ENVIRONMENT ; ELEMENTAL CARBON ; PARTICLE-SIZE ; COMBUSTION
收录类别SCI
语种英语
WOS研究方向Environmental Sciences & Ecology
WOS类目Environmental Sciences
WOS记录号WOS:000367635600036
引用统计
文献类型期刊论文
条目标识符http://ir.ieecas.cn/handle/361006/5856
专题粉尘与环境研究室
作者单位1.Chinese Acad Sci, Inst Atmospher Phys, RCE TEA, Beijing, Peoples R China
2.Minist Environm Protect, South China Inst Environm Sci, Guangzhou, Peoples R China
3.Environm Canada, Air Qual Res Div, Sci Technol Branch, Toronto, ON, Canada
4.Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol Chem & Phys, Xian, Peoples R China
5.Chinese Meteorol Adm, Environm Meteorol Forecast Ctr Beijing Tianjin He, Beijing, Peoples R China
6.Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China
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GB/T 7714
Tao, Jun,Zhang, Leiming,Zhang, Renjian,et al. Uncertainty assessment of source attribution of PM2.5 and its water-soluble organic carbon content using different biomass burning tracers in positive matrix factorization analysis - a case study in Beijing, China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2016,543(2016):326-335.
APA Tao, Jun.,Zhang, Leiming.,Zhang, Renjian.,Wu, Yunfei.,Zhang, Zhisheng.,...&Zhang, Yuanhang.(2016).Uncertainty assessment of source attribution of PM2.5 and its water-soluble organic carbon content using different biomass burning tracers in positive matrix factorization analysis - a case study in Beijing, China.SCIENCE OF THE TOTAL ENVIRONMENT,543(2016),326-335.
MLA Tao, Jun,et al."Uncertainty assessment of source attribution of PM2.5 and its water-soluble organic carbon content using different biomass burning tracers in positive matrix factorization analysis - a case study in Beijing, China".SCIENCE OF THE TOTAL ENVIRONMENT 543.2016(2016):326-335.
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