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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Alleman, L. Y., Lamaison, L., Perdrix, E., Robache, A., and Galloo, J.-C.: PM10 metal concentrations and source identification using positive matrix factorization and wind sectoring in a French industrial zone, Atmos. Res., 96, 612–625, 2010.
Arhami, M., Minguillón, M. C., Polidori, A., Schauer, J. J., Delfino, R. J., and Sioutas, C.: Organic compound characterization and source apportionment of indoor and outdoor quasi-ultrafine particulate matter in retirement homes of the Los Angeles Basin, Indoor Air, 20, 17–30, 2010.
Beddows, D. C. S., Harrison, R. M., Green, D. C., and Fuller, G. W.: Receptor modelling of both particle composition and size distribution from a background site in London, UK, Atmos. Chem. Phys., 15, 10107–10125, https://doi.org/10.5194/acp-15-10107-2015, 2015.
Brines, M., Dall'Osto, M., Beddows, D. C. S., Harrison, R. M., Gómez-Moreno, F., Núñez, L., Artíñano, B., Costabile, F., Gobbi, G. P., Salimi, F., Morawska, L., Sioutas, C., and Querol, X.: Traffic and nucleation events as main sources of ultrafine particles in high-insolation developed world cities, Atmos. Chem. Phys., 15, 5929–5945, https://doi.org/10.5194/acp-15-5929-2015, 2015.
Brook, R. D., Rajagopalan, S., Pope, C. A., Brook, J. R., Bhatnagar, A., Diez-Roux, A. V., Holguin, F., Hong, Y., Luepker, R. V., and Mittleman, M. A.: Particulate matter air pollution and cardiovascular disease an update to the scientific statement from the American Heart Association, Circulation, 121, 2331–2378, 2010.
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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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