1. Elemental characterization and source identification of air-filter PM2.5 in Beijing using neutron activation analysis.
- Author
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Zhang, JunXin, Xiao, Caijin, Wu, Peng, Gu, Yi, Yao, Yonggang, Jin, Xiangchun, and Wang, Pingsheng
- Subjects
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NUCLEAR activation analysis , *SOOT , *CARBON-black , *PARTICULATE matter , *STATISTICAL correlation - Abstract
PM2.5 (fine) and PM2.5–10 (coarse) samples were collected using a Gent stack filter unit sampler in Xinzhen, Beijing. The 220 samples collected from September 2016 to June 2018 were analyzed by neutron activation analysis (NAA) and Black Carbon meter, and 19 elements were determined. Time series analysis, correlation analysis and enrichment factor analysis were performed on the determined component concentrations. The possible sources and temporal variation of some elements were discussed. In addition, the main pollution elements in the three different pollution events were obtained. Furthermore, the element component characteristics of the coarse and fine particles were determined. Finally, the source and backward trajectory of a heavy sandstorm were analyzed by HYSPLIT. Using neutron activation analysis (NAA) and Black Carbon meter, the concentrations of elements and Black Carbon (BC) were determined. Through the correlation analysis and time series analysis, the possible sources and temporal variation of some elements were discussed. Among them, Al, Ca, Ti and Mg in APM are contributed by soil and surface dust. They have strong correlation and similar temporal trend. The concentrations of these elements have obvious seasonal variations. The concentrations of these elements are high in spring and summer, and low in autumn and winter. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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