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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- A Novel Apportionment Method Utilizing Particle Mass Size Distribution across Multiple Particle Size Ranges P. Wang et al. 10.3390/atmos15080955
- Characterization of organic compounds and oxidative potential of aqueous PM2.5 suspensions collected via an aerosol-into-liquid collector for use in toxicology studies E. Soleimanian et al. 10.1016/j.atmosenv.2020.117839
- Receptor modelling of both particle composition and size distribution from a background site in London, UK – a two-step approach D. Beddows & R. Harrison 10.5194/acp-19-4863-2019
- Long-term trends in the contribution of PM2.5sources to organic carbon (OC) in the Los Angeles basin and the effect of PM emission regulations A. Altuwayjiri et al. 10.1039/D0FD00074D
- Impact of emissions from the Ports of Los Angeles and Long Beach on the oxidative potential of ambient PM0.25 measured across the Los Angeles County A. Mousavi et al. 10.1016/j.scitotenv.2018.09.155
- Spatial-temporal variability of aerosol sources based on chemical composition and particle number size distributions in an urban settlement influenced by metallurgical industry P. Pokorná et al. 10.1007/s11356-020-09694-0
- Impact of vehicles at the roadside of expressway in urban area: Simultaneous measurement of particle size distribution and positive matrix factorization S. Kim et al. 10.1016/j.scitotenv.2024.175051
- Impact of secondary and primary particulate matter (PM) sources on the enhanced light absorption by brown carbon (BrC) particles in central Los Angeles E. Soleimanian et al. 10.1016/j.scitotenv.2019.135902
- Land use regression models for ultrafine particles, fine particles, and black carbon in Southern California R. Jones et al. 10.1016/j.scitotenv.2019.134234
- Chemical Characterization and Seasonality of Ambient Particles (PM2.5) in the City Centre of Addis Ababa W. Tefera et al. 10.3390/ijerph17196998
- Semi-volatile components of PM2.5 in an urban environment: Volatility profiles and associated oxidative potential M. Pirhadi et al. 10.1016/j.atmosenv.2019.117197
- Spatiotemporal trends of PM2.5 concentrations and typical regional pollutant transport during 2015–2018 in China L. Liu et al. 10.1016/j.uclim.2020.100710
- Characteristics of air quality and sources affecting fine particulate matter (PM2.5) levels in the City of Red Deer, Canada M. Bari & W. Kindzierski 10.1016/j.envpol.2016.11.087
- Determination of total and lung-deposited particle surface area concentrations, in central Athens, Greece S. Cheristanidis et al. 10.1007/s10661-020-08569-8
- Characterization of air quality and fine particulate matter sources in the town of Hinton, Alberta M. Bari & W. Kindzierski 10.1016/j.apr.2017.07.003
- Long-Term Changes of Source Apportioned Particle Number Concentrations in a Metropolitan Area of the Northeastern United States S. Squizzato et al. 10.3390/atmos10010027
- Activation of atmospheric aerosols in fog and low clouds N. Zíková et al. 10.1016/j.atmosenv.2020.117490
- Contributions of traffic emissions and new particle formation to the ultrafine particle size distribution in the megacity of Beijing H. Wu et al. 10.1016/j.atmosenv.2021.118652
- Sources and Temporal Variations of Coarse Particulate Matter (PM) in Central Tehran, Iran E. Soleimanian et al. 10.3390/atmos10050291
- Airborne particle number concentrations in China: A critical review Y. Zhu et al. 10.1016/j.envpol.2022.119470
- Ultrafine particles and PM2.5 in the air of cities around the world: Are they representative of each other? A. de Jesus et al. 10.1016/j.envint.2019.05.021
- High time-resolution and time-integrated measurements of particulate metals and elements in an environmental justice community within the Los Angeles Basin: Spatio-temporal trends and source apportionment S. Hasheminassab et al. 10.1016/j.aeaoa.2020.100089
- Long term trends in source apportioned particle number concentrations in Rochester NY P. Hopke et al. 10.1016/j.envpol.2024.123708
- Source apportionment of fine particulate matter and risk of term low birth weight in California: Exploring modification by region and maternal characteristics C. Ng et al. 10.1016/j.scitotenv.2017.06.053
- Efficient data preprocessing, episode classification, and source apportionment of particle number concentrations C. Liang et al. 10.1016/j.scitotenv.2020.140923
- Source apportionment of the oxidative potential of fine ambient particulate matter (PM2.5) in Athens, Greece S. Taghvaee et al. 10.1016/j.scitotenv.2018.11.016
- Particle count and black carbon measurements at schools in Las Vegas, NV and in the greater Salt Lake City, UT area S. Brown et al. 10.1080/10962247.2016.1270236
- Chemically speciated mass size distribution, particle density, shape and origin of non-refractory PM<sub>1</sub> measured at a rural background site in central Europe P. Pokorná et al. 10.5194/acp-22-5829-2022
- Where the people are: Current trends and future potential targeted investments in urban trees for PM10 and temperature mitigation in 27 U.S. Cities T. Kroeger et al. 10.1016/j.landurbplan.2018.05.014
- Particulate matter exposure in construction sites is associated with health effects in workers E. Sekhavati & R. Yengejeh 10.3389/fpubh.2023.1130620
- Spatial Correlation of Ultrafine Particle Number and Fine Particle Mass at Urban Scales: Implications for Health Assessment P. Saha et al. 10.1021/acs.est.0c02763
- Los Angeles Basin's air quality transformation: A long-term investigation on the impacts of PM regulations on the trends of ultrafine particles and co-pollutants M. Badami et al. 10.1016/j.jaerosci.2023.106316
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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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