Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 16, issue 8
Articles | Volume 16, issue 8
https://doi.org/10.5194/acp-16-4849-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-4849-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 16, issue 8
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, Sina Hasheminassab, and Constantinos Sioutas

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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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