Articles | Volume 19, issue 9
https://doi.org/10.5194/acp-19-6595-2019
https://doi.org/10.5194/acp-19-6595-2019
Research article
 | 
17 May 2019
Research article |  | 17 May 2019

High-time-resolution source apportionment of PM2.5 in Beijing with multiple models

Yue Liu, Mei Zheng, Mingyuan Yu, Xuhui Cai, Huiyun Du, Jie Li, Tian Zhou, Caiqing Yan, Xuesong Wang, Zongbo Shi, Roy M. Harrison, Qiang Zhang, and Kebin He

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Cited articles

Achad, M., Caumo, S., de Castro Vasconcellos, P., Bajano, H., Gómez, D., and Smichowski, P.: Chemical markers of biomass burning: Determination of levoglucosan, and potassium in size-classified atmospheric aerosols collected in Buenos Aires, Argentina by different analytical techniques, Microchem. J., 139, 181–187, 2018. 
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Burr, M. J. and Zhang, Y.: Source apportionment of fine particulate matter over the Eastern US Part I: source sensitivity simulations using CMAQ with the Brute Force method, Atmos. Pollut. Res., 2, 300–317, 2011. 
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Short summary
This study is part of the UK–China APHH campaign. To identify both source types and source regions at the same time, this study developed a combined method including receptor model, footprint model, and air quality model for the first time to investigate sources of PM2.5 during haze episodes in Beijing. It is an expansion of the application of the receptor model and is helpful for formulating effective control strategies to improve air quality in this region.
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