Articles | Volume 19, issue 5
https://doi.org/10.5194/acp-19-3223-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-3223-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
12 Mar 2019
Review article |
| 12 Mar 2019
| 12 Mar 2019
Characteristics of the main primary source profiles of particulate matter across China from 1987 to 2017
Xiaohui Bi
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Jianhui Wu
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Qing Zhang
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Wenhui Zhang
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Ruixue Luo
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Yuan Cheng
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Jiaying Zhang
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Lu Wang
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Zhuojun Yu
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Yufen Zhang
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Yingze Tian
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
State Environmental Protection Key Laboratory of Urban Ambient Air
Particulate Matter Pollution Prevention and Control, College of
Environmental Science and Engineering, Nankai University, Tianjin, 300350,
China
Data sets
Data for: chemical compositions of the main source profiles of ambient particulate matter across China X. Bi, Q. Dai, J.-h. Wu, Q. Zhang, W. Zhang, R. Luo, Y. Cheng, J. Zhang, L. Wang, Z. Yu, Y. Zhang, Y. Tian, and Y. Feng https://doi.org/10.17632/x8dfshjt9j.2
Short summary
Source profiles are of great importance for the application of receptor models in source apportionment studies, as they characterize specific sources from a chemical point of view, revealing the signatures of source emissions. Here, a total of 3326 chemical profiles of the main primary sources across China from 1987 to 2017 are reviewed. The results highlight the urgent need for increased investigation of more specific markers beyond routinely measured components to better discriminate sources.
Source profiles are of great importance for the application of receptor models in source...
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