中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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

文献类型:期刊论文

作者Wu, Yunfei2; Zhang, Zhisheng1; Zhang, Xiaoling5; Tang, Yixi5; Tao, Jun1,2,4; Zhang, Leiming3; Cao, Junji4; Zhang, Yuanhang6; Zhang, Renjian2
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2016-02-01
卷号543期号:2016页码:326-335
关键词Source Apportionment Biomass Burning Tracers Source Profiles
DOI10.1016/j.scitotenv.2015.11.057
文献子类Article
英文摘要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.
WOS关键词SOUTHEASTERN UNITED-STATES ; LONG-RANGE TRANSPORT ; PARTICULATE MATTER ; CHEMICAL-CHARACTERIZATION ; AEROSOL FORMATION ; SOURCE APPORTIONMENT ; URBAN-ENVIRONMENT ; ELEMENTAL CARBON ; PARTICLE-SIZE ; COMBUSTION
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000367635600036
源URL[http://ir.ieecas.cn/handle/361006/5856]  
专题地球环境研究所_粉尘与环境研究室
作者单位1.Minist Environm Protect, South China Inst Environm Sci, Guangzhou, Peoples R China
2.Chinese Acad Sci, Inst Atmospher Phys, RCE TEA, Beijing, 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
推荐引用方式
GB/T 7714
Wu, Yunfei,Zhang, Zhisheng,Zhang, Xiaoling,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 Wu, Yunfei.,Zhang, Zhisheng.,Zhang, Xiaoling.,Tang, Yixi.,Tao, Jun.,...&Zhang, Renjian.(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 Wu, Yunfei,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.

入库方式: OAI收割

来源:地球环境研究所

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