Articles | Volume 17, issue 4
https://doi.org/10.5194/acp-17-2573-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-17-2573-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Chemical characterization of fine particulate matter in Changzhou, China, and source apportionment with offline aerosol mass spectrometry
Zhaolian Ye
College of Chemistry and Environmental Engineering, Jiangsu University
of Technology, Changzhou 213001, China
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Sciences and
Engineering, Nanjing University of Information Science and Technology,
Nanjing 210044, China
Jiashu Liu
College of Chemistry and Environmental Engineering, Jiangsu University
of Technology, Changzhou 213001, China
Aijun Gu
College of Chemistry and Environmental Engineering, Jiangsu University
of Technology, Changzhou 213001, China
Feifei Feng
College of Chemistry and Environmental Engineering, Jiangsu University
of Technology, Changzhou 213001, China
Yuhai Liu
College of Chemistry and Environmental Engineering, Jiangsu University
of Technology, Changzhou 213001, China
Chenglu Bi
College of Chemistry and Environmental Engineering, Jiangsu University
of Technology, Changzhou 213001, China
Jianzhong Xu
State Key Laboratory of Cryospheric Sciences, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000,
China
Ling Li
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Sciences and
Engineering, Nanjing University of Information Science and Technology,
Nanjing 210044, China
Hui Chen
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Sciences and
Engineering, Nanjing University of Information Science and Technology,
Nanjing 210044, China
Yanfang Chen
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Sciences and
Engineering, Nanjing University of Information Science and Technology,
Nanjing 210044, China
Liang Dai
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Sciences and
Engineering, Nanjing University of Information Science and Technology,
Nanjing 210044, China
Quanfa Zhou
College of Chemistry and Environmental Engineering, Jiangsu University
of Technology, Changzhou 213001, China
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation Center of Atmospheric
Environment and Equipment Technology, School of Environmental Sciences and
Engineering, Nanjing University of Information Science and Technology,
Nanjing 210044, China
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2 citations as recorded by crossref.
- Seasonal Characterization of Organic Nitrogen in Atmospheric Aerosols Using High Resolution Aerosol Mass Spectrometry in Beijing, China W. Xu et al. 10.1021/acsearthspacechem.7b00106
- Pollution characteristics, sources, and risk assessment of heavy metals and perfluorinated compounds in PM2.5 in the major industrial city of northern Xinjiang, China J. Chen et al. 10.1007/s11869-019-00706-8
Latest update: 14 Dec 2024
Short summary
This work performed a thorough chemical characterization on the fine particulate matter (PM2.5) samples, collected during July 2015 to April 2016 across four seasons in Changzhou for the first time. In particular, an Aerodyne soot particle aerosol mass spectrometer (SP-AMS) was deployed offline to probe the chemical properties and sources of the water-soluble fraction of organic aerosols (WSOAs).
This work performed a thorough chemical characterization on the fine particulate matter (PM2.5)...
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