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Characteristics of atmospheric single particles during haze periods in a typical urban area of Beijing：A case study in October,2014

引用

Journal of Environmental Sciences 2016年第2期28卷 145-153页

作者： Lang Liu Yanli Wang Shiyong Du Wenjie Zhang Lujian Hou Sverre Vedal Bin Han Wen Yang Mindong Chen Zhipeng Bai state Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012 China Environmental Protection Science Research Institute of Ji'nan Ji'nan 250014 China Department of Environmental and Occupational Health Sciences University of Washington Seattle WA USA Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science &Technology Nanjing 210044 China

To investigate the composition and possible sources of particles, especially during heavy haze pollution, a single particle aerosol mass spectrometer（SPAMS） was deployed to measure the changes of single particle species and sizes during October of 2014, in Beijing. A total of 2,871,431 particles with both positive and negative spectra were collected and characterized in combination with the adaptive resonance theory neural network algorithm（ART-2a）. Eight types of particles were classified： dust particles（dust, 8.1%）, elemental carbon（EC, 29.0%）, organic carbon（OC, 18.0%）, EC and OC combined particles（ECOC, 9.5%）,Na-K containing particles（Na K, 7.9%）, K-containing particles（K, 21.8%）, organic nitrogen and potassium containing particles（KCN, 2.3%）, and metal-containing particles（metal,3.6%）. Three haze pollution events（P1, P2, P3） and one clean period（clean） were analyzed,based on the mass and number concentration of PM_（2.5）and the back trajectory results from the hybrid single particle Lagrangian integrated trajectory model（Hysplit-4 model）. Results showed that EC, OC and K were the major components of single particles during the three haze pollution periods, which showed clearly increased ratios compared with those in the clean period. Results from the mixing state of secondary species of different types of particles showed that sulfate and nitrate were more readily mixed with carbon-containing particles during haze pollution episodes than in clean periods.

关键词： single particle mass spectrometry haze pollution mixing state

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