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.
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.
the Creative Commons Attribution 3.0 License.
Source apportionment of ambient particle number concentrations in central Los Angeles using positive matrix factorization (PMF)
Mohammad Hossein Sowlat
University of Southern California, Department of Civil and
Environmental Engineering, Los Angeles, CA, USA
Sina Hasheminassab
University of Southern California, Department of Civil and
Environmental Engineering, Los Angeles, CA, USA
Constantinos Sioutas
CORRESPONDING AUTHOR
University of Southern California, Department of Civil and
Environmental Engineering, Los Angeles, CA, USA
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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.
In this study, the positive matrix factorization (PMF) receptor model was used to identify and...
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