Articles | Volume 18, issue 3
https://doi.org/10.5194/acp-18-2049-2018
https://doi.org/10.5194/acp-18-2049-2018
Research article
 | 
13 Feb 2018
Research article |  | 13 Feb 2018

High-resolution sampling and analysis of ambient particulate matter in the Pearl River Delta region of southern China: source apportionment and health risk implications

Shengzhen Zhou, Perry K. Davy, Minjuan Huang, Jingbo Duan, Xuemei Wang, Qi Fan, Ming Chang, Yiming Liu, Weihua Chen, Shanju Xie, Travis Ancelet, and William J. Trompetter

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Cited articles

Amato, F., Pandolfi, M., Escrig, A., Querol, X., Alastuey, A., Pey, J., Perez, N., and Hopke, P.: Quantifying road dust resuspension in urban environment by multilinear engine: a comparison with PMF2, Atmos. Environ., 43, 2770–2780, https://doi.org/10.1016/j.atmosenv.2009.02.039, 2009. 
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Ancelet, T., Davy, P. K., Trompetter, W. J., Markwitz, A., and Weatherburn, D. C.: Particulate matter sources on an hourly timescale in a rural community during the winter, J. Air Waste Manage., 64, 501–508, https://doi.org/10.1080/10962247.2013.813414, 2014. 
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Short summary
We collected hourly samples of PM2.5 and PM2.5–10 at an industrial city in the PRD, China. The samples were analyzed for black carbon and elemental compositions. Receptor modeling of the dataset by positive matrix factorization was used to identify PM sources. Human health exposure risks to the selected trace elements in PM released from the specific sources were estimated. The source–risk apportionment method helps decision makers to manage air quality more effectively.
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