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ACP | Articles | Volume 18, issue 3
Atmos. Chem. Phys., 18, 2049–2064, 2018
https://doi.org/10.5194/acp-18-2049-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Regional transport and transformation of air pollution in...

Atmos. Chem. Phys., 18, 2049–2064, 2018
https://doi.org/10.5194/acp-18-2049-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

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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. 
Ancelet, T., Davy, P. K., Trompetter, W. J., Markwitz, A., and Weatherburn, D. C.: Carbonaceous aerosols in an urban tunnel, Atmos. Environ., 45, 4463–4469, https://doi.org/10.1016/j.atmosenv.2011.05.032, 2011. 
Ancelet, T., Davy, P. K., Mitchell, T., Trompetter, W. J., Markwitz, A., and Weatherburn, D. C.: Identification of Particulate Matter Sources on an Hourly Time-Scale in a Wood Burning Community, Environ. Sci. Technol., 46, 4767–4774, https://doi.org/10.1021/es203937y, 2012. 
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. 
Anlauf, K., Li, S.-M., Leaitch, R., Brook, J., Hayden, K., Toom-Sauntry, D., and Wiebe, A.: Ionic composition and size characteristics of particles in the Lower Fraser Valley: Pacific 2001 field study, Atmos. Environ., 40, 2662–2675, https://doi.org/10.1016/j.atmosenv.2005.12.027, 2006. 
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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.
We collected hourly samples of PM2.5 and PM2.5–10 at an industrial city in the PRD, China. The...
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