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.

Data sets

Research data supporting "Insight into PM2.5 sources by applying Positive Matrix factorization (PMF) at an urban and rural site of Beijing" R. M. Harrison and D. Srivastava https://doi.org/10.25500/edata.bham.00000721

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Short summary
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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