中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Simultaneous measurements of urban and rural particles in Beijing - Part 1: Chemical composition and mixing state

文献类型:期刊论文

作者Chen, Yang2; Cai, Jing3,4; Wang, Zhichao2; Peng, Chao2; Yao, Xiaojiang2; Tian, Mi2; Han, Yiqun3,4; Shi, Guangming2,5; Shi, Zongbo6; Liu, Yue3,4
刊名ATMOSPHERIC CHEMISTRY AND PHYSICS
出版日期2020-08-05
卷号20期号:15页码:9231-9247
ISSN号1680-7316
DOI10.5194/acp-20-9231-2020
通讯作者Zheng, Mei(mzheng@pku.edu.cn) ; Yang, Fumo(fmyang@scu.edu.cn)
英文摘要Two single-particle aerosol mass spectrometers (SPAMSs) were deployed simultaneously at an urban and a rural site in Beijing during an intensive field campaign from 1 to 29 November 2016 to investigate the source and process of airborne particles in Beijing. In the first part of this research, we report the single-particle chemical composition, mixing state, and evolution at both sites. A total of 96 % and 98 % of collected particles were carbonaceous at the urban and rural sites, respectively. Five particle categories, including elemental carbon (EC), organic carbon (OC), internal-mixed EC and OC (ECOC), potassium-rich (K-rich), and metals, were observed at both sites. The categories were partitioned into particle types depending on different atmospheric processing stages. A total of 17 particle types were shared at both sites. In the urban area, nitrate-containing particle types, such as EC-Nit (Nit: nitrate) and ECOC-Nit, were enriched especially at night, sulfate-containing particles were transported when wind speed was high, and ECOC-Nit-Sul (Sul: sulfate) were mostly aged locally. In sum, these processed particles added up to 85.3 % in the urban areas. In the rural area, regional particles were abundant, but freshly emitted ECOC and OC had distinct patterns that were pronounced at cooking and heating times. Biomass burning, traffic, and coal burning were major sources of particulate matter (PM2.5) in both rural and urban areas. Moreover, particles from the steel industry located in the south were also identified. In summary, the chemical composition of urban and rural particle types was similar in Beijing; the urban particles were influenced significantly by rural processing and transport. The work is useful to understand the evolution of urban and rural particles in Beijing during winter.
资助项目National Key Research and Development Programs of China[2018YFC02004013] ; National Natural Science Foundation of China[41375123] ; National Natural Science Foundation of China[81571130100]
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
出版者COPERNICUS GESELLSCHAFT MBH
WOS记录号WOS:000558763100002
源URL[http://119.78.100.138/handle/2HOD01W0/11638]  
专题中国科学院重庆绿色智能技术研究院
通讯作者Zheng, Mei; Yang, Fumo
作者单位1.Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China
2.Chinese Acad Sci, Ctr Atmospher Environm Res, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
3.Peking Univ, Coll Environm Sci & Engn, SKL ESPC, Beijing 100871, Peoples R China
4.Peking Univ, Coll Environm Sci & Engn, BIC ESAT, Beijing 100871, Peoples R China
5.Sichuan Univ, Coll Architecture & Environm, Dept Environm Sci & Engn, Chengdu 610065, Peoples R China
6.Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, W Midlands, England
7.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Chen, Yang,Cai, Jing,Wang, Zhichao,et al. Simultaneous measurements of urban and rural particles in Beijing - Part 1: Chemical composition and mixing state[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2020,20(15):9231-9247.
APA Chen, Yang.,Cai, Jing.,Wang, Zhichao.,Peng, Chao.,Yao, Xiaojiang.,...&Yang, Fumo.(2020).Simultaneous measurements of urban and rural particles in Beijing - Part 1: Chemical composition and mixing state.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(15),9231-9247.
MLA Chen, Yang,et al."Simultaneous measurements of urban and rural particles in Beijing - Part 1: Chemical composition and mixing state".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.15(2020):9231-9247.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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