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Reapportioning the sources of secondary components of PM2.5: combined application of positive matrix

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Reapportioning the sources of secondary components of PM2.5: combined application of positive matrix factorization and isotopic evidence
Sun, Zeyu1,3,4; Zong, Zheng1,3; Tian, Chongguo1,3; Li, Jun2; Sun, Rong2,4; Ma, Wenwen1,3,4; Li, Tingting2,4; Zhang, Gan2
发表期刊SCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
2021-04-10
卷号764页码:7
关键词Secondary particulate matterSource apportionmentPMF modelIsotope
DOI10.1016/j.scitotenv.2020.142925
英文摘要Secondary particles account fora considerable proportion of fine particles (PM2.5) and reasonable reapportioning them to primary sources is critical for designing effective strategies for air quality improvement. This study developed a method which can reapportion secondary sources of PM2.5 solved by positive matrix factorization (PMF) to primary sources based on the isotopic signals of nitrate, ammonium and sulfate. Actual PM2.5 data in Beijing were used as a case study to assess the feasibility and capacity of this method. In the case, 20 chemical components were used to apportion PM2.5 sources and source contributions of nitrate were applied to reapportion secondary source to primary sources. The model performance was also estimated by radiocarbon measurement (C-14) of organic (OC) and elemental (EC) carbons of eight samples. The PMF apportioned seven sources: the secondary source (36.1%), vehicle exhausts (18.7%), industrial sources (13.6%), biomass burning (11.4%), coal combustion (8.10%), construction dust (7.93%) and fuel oil combustion (424%). After the reapportionment of the secondary source, vehicle exhausts (28.7%) contributed the most to PM2.5, followed by biomass burning (25.1%) and industrial sources (18.9%). Fossil oil combustion and coal combustion increased to 8.00% and 11.4%, respectively, and construction dust contributed the least. The average gap between contributions of identified sources to OC and EC and the C-14 measurements decreased 2.5 +/- 12% after the reapportionment than 132 +/- 10.8%, indicating the good performance of the developed method. (C) 2020 Elsevier B.V. All rights reserved.
资助机构National Natural Science Foundation of China; seed project of Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences; Guangdong Basic and Applied Basic Research Foundation
收录类别SCI
语种英语
研究领域[WOS]Environmental Sciences & Ecology
WOS记录号WOS:000614249600104
引用统计被引频次:3[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/27397
专题中科院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室
中科院海岸带环境过程与生态修复重点实验室

通讯作者Tian, Chongguo; Li, Jun作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Shandong Key Lab Coastal Environm Proc,YICCAS, Yantai 264003, Peoples R China
2.Chinese Acad Sci, State Key Lab Organ Geochem, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China
3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China

推荐引用方式
GB/T 7714Sun, Zeyu,Zong, Zheng,Tian, Chongguo,et al. Reapportioning the sources of secondary components of PM2.5: combined application of positive matrix factorization and isotopic evidence[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,764:7.
APASun, Zeyu.,Zong, Zheng.,Tian, Chongguo.,Li, Jun.,Sun, Rong.,...&Zhang, Gan.(2021).Reapportioning the sources of secondary components of PM2.5: combined application of positive matrix factorization and isotopic evidence.SCIENCE OF THE TOTAL ENVIRONMENT,764,7.
MLASun, Zeyu,et al."Reapportioning the sources of secondary components of PM2.5: combined application of positive matrix factorization and isotopic evidence".SCIENCE OF THE TOTAL ENVIRONMENT 764(2021):7.


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