Primary and secondary organic aerosols in summer 2016 in Beijing

• Published in: Atmospheric chemistry and physics 2018-03, Vol.18 (6), p.4055-4068
• Main Authors: Tang, Rongzhi, Wu, Zepeng, Li, Xiao, Wang, Yujue, Shang, Dongjie, Xiao, Yao, Li, Mengren, Zeng, Limin, Wu, Zhijun, Hallquist, Mattias, Hu, Min, Guo, Song
• Format: Article
• Language: English
• Subjects: Acidity; Aerosols; Air masses; Air pollution; Air pollution control; Air pollution measurements; Air quality; Analysis; Analytical Chemistry; Analytisk kemi; Anthropogenic factors; Atmospheric models; Chemical reactions; Chemical Sciences; Climate Science; Cluster analysis; Control; Educational institutions; Emissions; Environmental aspects; Environmental monitoring; Environmental Sciences; Gasoline; Gasoline engines; Kemi; Klimatvetenskap; Mass balance; Meteorologi och atmosfärsvetenskap; Meteorology and Atmospheric Sciences; Methods; Miljövetenskap; Modelling; Moisture content; Organic Chemistry; Organisk kemi; Outdoor air quality; Ozone; Ozone concentration; Particle concentration; Particulate emissions; Particulate matter; Photochemical smog; Photochemicals; Photochemistry; Pollution; Pollution control; Pollution sources; Secondary aerosols; Smog; Summer; Suspended particulate matter; Toluene; Tracers; Trajectory analysis; Urban areas; Vehicle emissions; VOCs; Volatile organic compounds; Water content; Water pollution
• ISSN: 1680-7324; 1680-7316; 1680-7324
• DOI: 10.5194/acp-18-4055-2018

To improve air quality, the Beijing government has employed several air pollution control measures since the 2008 Olympics. In order to investigate organic aerosol sources after the implementation of these measures, ambient fine particulate matter was collected at a regional site in Changping (CP) and an urban site at the Peking University Atmosphere Environment Monitoring Station (PKUERS) during the “Photochemical Smog in China” field campaign in summer 2016. Chemical mass balance (CMB) modeling and the tracer yield method were used to apportion primary and secondary organic sources. Our results showed that the particle concentration decreased significantly during the last few years. The apportioned primary and secondary sources explained 62.8 ± 18.3 and 80.9 ± 27.2 % of the measured OC at CP and PKUERS, respectively. Vehicular emissions served as the dominant source. Except for gasoline engine emissions, the contributions of all the other primary sources decreased. In addition, the anthropogenic SOC, i.e., toluene SOC, also decreased, implying that deducting primary emissions can reduce anthropogenic SOA. In contrast to the SOA from other regions in the world where biogenic SOA was dominant, anthropogenic SOA was the major contributor to SOA, implying that deducting anthropogenic VOC emissions is an efficient way to reduce SOA in Beijing. Back-trajectory cluster analysis results showed that high mass concentrations of OC were observed when the air mass was from the south. However, the contributions of different primary organic sources were similar, suggesting regional particle pollution. The ozone concentration and temperature correlated well with the SOA concentration. Different correlations between day and night samples suggested different SOA formation pathways. Significant enhancement of SOA with increasing particle water content and acidity was observed in our study, suggesting that aqueous-phase acid-catalyzed reactions may be the important SOA formation mechanism in summer in Beijing.