Articles | Volume 16, issue 8
Atmos. Chem. Phys., 16, 4849–4866, 2016
https://doi.org/10.5194/acp-16-4849-2016
Atmos. Chem. Phys., 16, 4849–4866, 2016
https://doi.org/10.5194/acp-16-4849-2016

Research article 20 Apr 2016

Research article | 20 Apr 2016

Source apportionment of ambient particle number concentrations in central Los Angeles using positive matrix factorization (PMF)

Mohammad Hossein Sowlat et al.

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AR by Mohammad Hossein Sowlat on behalf of the Authors (31 Mar 2016)  Author's response    Manuscript
ED: Publish as is (01 Apr 2016) by Xavier Querol
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Short summary
In this study, the positive matrix factorization (PMF) receptor model was used to identify and quantify major sources contributing to particulate matter (PM) number concentrations, using number size distributions measured in central Los Angeles, CA. The sources of particle number concentrations were identified as traffic, nucleation, urban background aerosol, secondary aerosol, and soil/road dust, with traffic and nucleation having the largest contributions to the total number concentrations.
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