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Characteristics of wintertime VOCs in urban Beijing: Composition and source apportionment

  • Liwei Wang
  • , Jay G. Slowik
  • , Yandong Tong
  • , Jing Duan
  • , Yifang Gu
  • , Pragati Rai
  • , Lu Qi
  • , Giulia Stefenelli
  • , Urs Baltensperger
  • , Ru Jin Huang
  • , Junji Cao
  • , André S.H. Prévôt
  • Paul Scherrer Institute
  • CAS - Institute of Earth Environment

科研成果: 期刊稿件文章同行评审

27 引用 (Scopus)

摘要

Characteristics and sources of volatile organic compounds (VOCs) were investigated with highly time-resolved measurements by a proton-transfer-reaction time-of-flight mass spectrometer (PTR-ToF-MS) at an urban site in Beijing in winter 2017. During the measurement period, high mixing ratios of VOCs (48.9 ppbv) and trace gases were observed, with alternating episodes of strong haze pollution and clean air. Ten VOC families showed clear dependence on the VOC concentration. Aromatics increased the most during haze, with significantly elevated benzene concentration at high VOC concentration, while CxHyO3 and CxHy increased the least. The positive matrix factorization (PMF) receptor model was applied to the VOC mass spectra, yielding four major VOC factors: traffic emissions (21.0%), solid fuel combustion (SFC, 24.4%), and two oxygenated VOC (OVOC) factors (32.3% and 22.3%). Traffic and solid fuel combustion were dominant during the periods of high total VOC concentration, while the OVOC1 fraction was reduced. Comparisons with organic aerosol (OA) sources showed increased oxygenated organic aerosol (OOA) concentration during high VOC concentration periods, indicating the importance of OVOCs to secondary organic aerosol formation. Furthermore, trajectory analysis showed that most of the clean days were associated with northerly winds with high ratios of OVOC1. In contrast, the haze periods were not only due to high primary emissions under stagnant conditions, but also influenced by air masses from a more regional scale.

源语言英语
文章编号100100
期刊Atmospheric Environment: X
9
DOI
出版状态已出版 - 1月 2021

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 11 - 可持续城市和社区
    可持续发展目标 11 可持续城市和社区

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