Articles | Volume 21, issue 19
Atmos. Chem. Phys., 21, 14703–14724, 2021
https://doi.org/10.5194/acp-21-14703-2021

Special issue: In-depth study of air pollution sources and processes within...

Atmos. Chem. Phys., 21, 14703–14724, 2021
https://doi.org/10.5194/acp-21-14703-2021
Research article
05 Oct 2021
Research article | 05 Oct 2021

Insight into PM2.5 sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing

Deepchandra Srivastava et al.

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Cited articles

Amato, F. and Hopke, P. K.: Source apportionment of the ambient PM2.5 across St. Louis using constrained positive matrix factorization, Atmos. Environ., 46, 329–337, https://doi.org/10.1016/j.atmosenv.2011.09.062, 2012. 
Amato, F., Pandolfi, M., Escrig, A., Querol, X., Alastuey, A., Pey, J., Perez, N., and Hopke, P. K.: 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. 
Batterman, S., Xu, L., Chen, F., Chen, F., and Zhong, X.: Characteristics of PM(2.5) Concentrations across Beijing during 2013–2015, Atmos. Environ. (Oxford, England: 1994), 145, 104–114, https://doi.org/10.1016/j.atmosenv.2016.08.060, 2016. 
Bi, X., Simoneit, B. R. T., Sheng, G., and Fu, J.: Characterization of molecular markers in smoke from residential coal combustion in China, Fuel, 87, 112–119, https://doi.org/10.1016/j.fuel.2007.03.047, 2008. 
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., and Lohmann, U.: Clouds and aerosols, in: Climate change 2013: the physical science basis, Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, 571–657, 2013. 
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This study presents the source apportionment of PM2.5 performed by positive matrix factorization (PMF) at urban and rural sites in Beijing. These factors are interpreted as traffic emissions, biomass burning, road and soil dust, coal and oil combustion, and secondary inorganics. PMF failed to resolve some sources identified by CMB and AMS and appears to overestimate the dust sources. Comparison with earlier PMF studies from the Beijing area highlights inconsistent findings using this method.
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