Source apportionment of PM2.5 at a regional background site in North China using PMF linked with radiocarbon analysis: insight into the contribution of biomass burning
Zong, Z; Wang, XP; Tian, CG; Chen, YJ; Qu, L; Ji, L; Zhi, GR; Li, J; Zhang, G; Tian, CG (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China.; Chen, YJ (reprint author), Tongji Univ, Key Lab Cities Mitigat & Adaptat Climate Change S, Coll Environm Sci & Engn, Shanghai 200092, Peoples R China. Email:cgtian@yic.ac.cn; yjchentj@tongji.edu.cn
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
2016-09-12
卷号16期号:17页码:11249-11265
DOI10.5194/acp-16-11249-2016
产权排序[Zong, Zheng; Tian, Chongguo] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China; [Wang, Xiaoping; Li, Jun; Zhang, Gan] Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China; [Chen, Yingjun] Tongji Univ, Key Lab Cities Mitigat & Adaptat Climate Change S, Coll Environm Sci & Engn, Shanghai 200092, Peoples R China; [Qu, Lin; Ji, Ling] SOA, Yantai Ocean Environm Monitoring Cent Stn, Yantai 264006, Peoples R China; [Zhi, Guorui] Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China; [Zong, Zheng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
作者部门中科院海岸带环境过程与生态修复重点实验室
英文摘要Source apportionment of fine particles (PM2.5) at a background site in North China in the winter of 2014 was done using statistical analysis, radiocarbon (C-14) measurement and positive matrix factorization (PMF) modeling. Results showed that the concentration of PM2.5 was 77.6 +/- 59.3 mu g m(-3), of which sulfate (SO42-) concentration was the highest, followed by nitrate (NO3-), organic carbon (OC), elemental carbon (EC) and ammonium (NH4+). As demonstrated by backward trajectory, more than half of the air masses during the sampling period were from the Beijing-Tianjin-Hebei (BTH) region, followed by Mongolia and the Shandong Peninsula. Cluster analysis of chemical species suggested an obvious signal of biomass burning in the PM2.5 from the Shandong Peninsula, while the PM2.5 from the BTH region showed a vehicle emission pattern. This finding was further confirmed by the C-14 measurement of OC and EC in two merged samples. The C-14 result indicated that biogenic and biomass burning emission contributed 59 +/- 4 and 52 +/- 2 % to OC and EC concentrations, respectively, when air masses originated from the Shandong Peninsula, while the contributions fell to 46 +/- 4 and 38 +/- 1 %, respectively, when the prevailing wind changed and came from the BTH region. The minimum deviation between source apportionment results from PMF and C-14 measurement was adopted as the optimal choice of the model exercises. Here, two minor overestimates with the same range (3 %) implied that the PMF result provided a reasonable source apportionment of the regional PM2.5 in this study. Based on the PMF modeling, eight sources were identified; of these, coal combustion, biomass burning and vehicle emission were the main contributors of PM2.5, accounting for 29.6, 19.3 and 15.9 %, respectively. Compared with overall source apportionment, the contributions of vehicle emission, mineral dust, coal combustion and biomass burning increased when air masses came from the BTH region, Mongolia and the Shandong Peninsula, respectively. Since coal combustion and vehicle emission have been considered as the leading emission sources to be controlled for improving air quality, biomass burning was highlighted in the present study.
文章类型Article
资助机构Chinese Academy of Sciences Strategic Priority Research Program(XDA11020402 ; Natural Scientific Foundation of China(41471413 ; XDB05030303 ; 41430645 ; XDB05040503) ; 41373131)
收录类别SCI
语种英语
关键词[WOS]ATMOSPHERIC HEAVY-METALS ; CARBONACEOUS AEROSOLS ; EMISSION INVENTORY ; CHEMICAL-COMPOSITIONS ; VEHICLE EMISSIONS ; HIGH-RESOLUTION ; ORGANIC-CARBON ; SHIPPING EMISSIONS ; RENEWABLE ENERGY ; TRACE-ELEMENTS
研究领域[WOS]Meteorology & Atmospheric Sciences
WOS记录号WOS:000384199500003
引用统计
被引频次:106[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.cn/handle/133337/17242
专题中国科学院海岸带环境过程与生态修复重点实验室
中国科学院烟台海岸带研究所
通讯作者Tian, CG (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China.; Chen, YJ (reprint author), Tongji Univ, Key Lab Cities Mitigat & Adaptat Climate Change S, Coll Environm Sci & Engn, Shanghai 200092, Peoples R China. Email:cgtian@yic.ac.cn; yjchentj@tongji.edu.cn
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Zong, Z,Wang, XP,Tian, CG,et al. Source apportionment of PM2.5 at a regional background site in North China using PMF linked with radiocarbon analysis: insight into the contribution of biomass burning[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2016,16(17):11249-11265.
APA Zong, Z.,Wang, XP.,Tian, CG.,Chen, YJ.,Qu, L.,...&yjchentj@tongji.edu.cn.(2016).Source apportionment of PM2.5 at a regional background site in North China using PMF linked with radiocarbon analysis: insight into the contribution of biomass burning.ATMOSPHERIC CHEMISTRY AND PHYSICS,16(17),11249-11265.
MLA Zong, Z,et al."Source apportionment of PM2.5 at a regional background site in North China using PMF linked with radiocarbon analysis: insight into the contribution of biomass burning".ATMOSPHERIC CHEMISTRY AND PHYSICS 16.17(2016):11249-11265.
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