Chemical characterization and sources of PM2.5 at a high-alpine ecosystem in the Southeast Tibetan Plateau, China
Meng Ya1; Li Rui1; Zhao Yilong1; Cheng Hanyun1; Fu Hongbo1,4,5; Yan Zhe2; Bing Haijian3
刊名ATMOSPHERIC ENVIRONMENT
2020
卷号235页码:1405-1414
关键词Chemical composition PM2.5 Carbonaceous composition Trace elements Bioavailability Alpine forest Tibetan plateau
ISSN号1352-2310
DOI10.1016/j.scib.2020.04.035
产权排序5
文献子类Article
英文摘要The study of atmospheric chemical compositions in remote areas is of great significance for understanding the biogeochemical impact of atmospheric dry deposition on ecosystems. In this study, a total of 50 p.m.(2.5) samples were collected at a high alpine forest of Mt. Gongga, Eastern Tibetan Plateau from May 2015 to May 2016 to investigate the characteristics of PM2.5 mass concentration and its major compositions including elemental carbon (EC), organic carbon (OC), and 24 trace elements. The average PM2.5 mass concentration was 17.19 +/- 8.81 mu g/m(3), which was at an intermediate level compared with other areas of Tibetan Plateau. The yearly average concentrations of OC and EC were 2.98 +/- 1.95 and 0.43 +/- 0.33 mu g/m(3), accounting for 19.49% and 2.51% of PM2.5 mass, respectively, and the sums of the total concentrations of the 24 analyzed trace elements were 3.70 +/- 0.80 mu g/m(3), accounting 27% of PM2.5 mass concentration. PM2.5 EC and OC showed the higher concentrations and larger fluctuation in the dry season (October 2015 to May 2016) compared with those in the wet season (June 2015 to September 2015), which was attributed to the multiple factors including the increases of biomass burning and fossil fuel emissions, the relatively shallow boundary layer height and lower temperature, and the less precipitation. Two distinct seasonal patterns were observed for the 24 analyzed trace elements in PM2.5: the crustal-derived trace elements like Fe, Al, Mn and Sr showed the higher concentrations in the wet season, while anthropogenic-derived elements such as Cd, Pb, Ni and Zn exhibited the higher level during the dry season. Six sources were identified for PM2.5 at Mt. Gongga with the application of the positive matrix factorization (PMF). Biomass burning (27.06%) and crustal source (26.93%) were the two main sources, followed by secondary formation (16.41%), traffic-related source (12.89%), coal burning (10.57%) and industrial metallurgical process (6.15%). Finally, it was proposed that the atmospheric acidic processing could not only promote the dissolution of Fe, but also enhance the solubility of the other trace elements in the atmosphere during the transport. Accordingly, this would increase the bioavailability and/or toxicity to the biotic and plants.
语种英语
WOS记录号WOS:000548336900016
内容类型期刊论文
源URL[http://ir.imde.ac.cn/handle/131551/35252]  
专题成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室
通讯作者Fu Hongbo; Bing Haijian
作者单位1.Fudan Univ, Inst Atmospher Sci, Dept Environm Sci & Engn, Shanghai Key Lab Atmospher Particle Pollut & Prev, Shanghai 200433, Peoples R China;
2.Agilent Technol China Co Ltd, Shanghai 200080, Peoples R China;
3.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Ecol Regulat, Alpine Ecosyst Observat & Expt Stn Gongga Mt, Chengdu 610041, Peoples R China
4.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equip, Nanjing 210044, Peoples R China;
5.Shanghai Inst Pollut Control & Ecol Secur, Shanghai 200092, Peoples R China;
推荐引用方式
GB/T 7714
Meng Ya,Li Rui,Zhao Yilong,et al. Chemical characterization and sources of PM2.5 at a high-alpine ecosystem in the Southeast Tibetan Plateau, China[J]. ATMOSPHERIC ENVIRONMENT,2020,235:1405-1414.
APA Meng Ya.,Li Rui.,Zhao Yilong.,Cheng Hanyun.,Fu Hongbo.,...&Bing Haijian.(2020).Chemical characterization and sources of PM2.5 at a high-alpine ecosystem in the Southeast Tibetan Plateau, China.ATMOSPHERIC ENVIRONMENT,235,1405-1414.
MLA Meng Ya,et al."Chemical characterization and sources of PM2.5 at a high-alpine ecosystem in the Southeast Tibetan Plateau, China".ATMOSPHERIC ENVIRONMENT 235(2020):1405-1414.
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