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Source apportionment of PM2.5 in Beijing using positive matrix factorization

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Abstract

In order to do source apportionment of PM2.5 and source trajectories, particle induced X-ray emission and energy disperse-X ray fluorescence were used to analyze chemical composition of samples. Five major sources have been identified by using positive matrix factorization. Source trajectories have been determined by conditional probability function and the potential source contribution function. Extreme events, such as sandstorms, have been identified and traced.

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Acknowledgments

This work has been supported in part by IAEA RCA RAS/7/023. Beijing Normal University, Australian Nuclear Science and Technology Organization and The National University of Mongolia have performed the elemental analysis of APM filters, and we are grateful for that. National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory (ARL) is appreciated that they made available the HYSPLIT model and meteorology data files.

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Authors and Affiliations

  1. Department of Nuclear Physics, China Institute of Atomic Energy, Beijing, 102413, China

    Xiangchun Jin, Caijin Xiao, Guojun Yuan, Yonggang Yao, Xinghua Wang, Long Hua, Guiying Zhang, Pingsheng Wang & Bangfa Ni

  2. Beijing Institute of Occupational Medicine for Chemical Industry, Beijing, 100093, China

    Jue Li, Guiying Zhang & Lei Cao

  3. Nuclear and Radiation Safety Center, Ministry of Environmental Protection, Beijing, 100082, China

    Donghui Huang

  4. Department of Nuclear Engineering, Chengdu University of Technology, Chengdu, 610059, China

    Xinghua Wang

Authors
  1. Xiangchun Jin
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  2. Caijin Xiao
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  3. Jue Li
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  4. Donghui Huang
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  5. Guojun Yuan
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  6. Yonggang Yao
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  7. Xinghua Wang
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  8. Long Hua
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  9. Guiying Zhang
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  10. Lei Cao
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  11. Pingsheng Wang
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  12. Bangfa Ni
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Corresponding author

Correspondence to Bangfa Ni.

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Jin, X., Xiao, C., Li, J. et al. Source apportionment of PM2.5 in Beijing using positive matrix factorization. J Radioanal Nucl Chem 307, 2147–2154 (2016). https://doi.org/10.1007/s10967-015-4544-0

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  • DOI: https://doi.org/10.1007/s10967-015-4544-0

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