YCYunbo Chen

Yunbo Chen

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Yunbo Chen has a total of 4 co-authors. Here are the top co-authors by number of shared publications:

  • Junfeng Liu

    Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

    1 shared publication
  • Kai Li

    Faculty of Environmental Science Engineering, Kunming University of Science and Technology, Kunming 650500, China

    1 shared publication
  • Shuyang Xie

    Research Center for Eco-environmental of Sciences, Chinese Academy of Sciences, Beijing 100085, China

    1 shared publication
  • Yuanjun Gong

    State Environmental Protection Key Laboratory of Atmospheric Ozone Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China

    1 shared publication

Latest Publications

  • Open Access

    Characterization and Source Analysis of Pollution Caused by Atmospheric Volatile Organic Compounds in the Spring, Kunming, China

    by Shuyang Xie, Yuanjun Gong, Yunbo Chen, Kai Li, Junfeng Liu

    The surface atmospheric O3 concentration in Kunming shows a significant upward trend, with high values mainly occurring in March–May. Volatile organic compounds (VOCs) are one of the most important precursors of O3. However, the sources of VOCs are complex and difficult to identify. In order to understand the pollution levels, the spatial distribution characteristics, and possible sources of VOCs, we conducted simultaneous offline sampling at representative sites in six different functional areas of Kunming using SUMMA canisters for one week. The VOC samples were analyzed via GC/MS. The VOC data were analyzed (using the feature ratio method, ozone formation potential (OFP), and Positive Matrix Factorization (PMF) model). Some important conclusions were drawn. Firstly, VOCs during the spring in Kunming were mainly derived from oxygenated VOCs, aromatic hydrocarbons, and halogenated hydrocarbons, with significant spatial differences. Secondly, we found that the potential for atmospheric ozone formation is higher in Kunming for aromatic hydrocarbons and oxygenated VOCs. Finally, the results of the Positive Matrix Factorization model (PMF) showed that Kunming’s ambient atmospheric VOCs mainly originate from anthropogenic source emissions. These conclusions can provide useful reference information for O3 pollution control in Kunming.