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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- High contribution of vehicle emissions to fine particulate pollutions in Lanzhou, Northwest China based on high-resolution online data source appointment M. Wang et al. 10.1016/j.scitotenv.2021.149310
- Enhanced toxicity of aerosol in fog conditions in the Po Valley, Italy S. Decesari et al. 10.5194/acp-17-7721-2017
- Moving beyond Fine Particle Mass: High-Spatial Resolution Exposure to Source-Resolved Atmospheric Particle Number and Chemical Mixing State Q. Ye et al. 10.1289/EHP5311
- Reduced Ultrafine Particle Concentration in Urban Air: Changes in Nucleation and Anthropogenic Emissions P. Saha et al. 10.1021/acs.est.8b00910
- Sources of sub-micrometre particles near a major international airport M. Masiol et al. 10.5194/acp-17-12379-2017
- Urban aerosol size distributions: a global perspective T. Wu & B. Boor 10.5194/acp-21-8883-2021
- Investigation of organic carbon profiles and sources of coarse PM in Los Angeles R. Tohidi et al. 10.1016/j.envpol.2022.120264
- Water quality assessment and pollution source apportionment using multivariate statistical and PMF receptor modeling techniques in a sub-watershed of the upper Yangtze River, Southwest China X. Ren et al. 10.1007/s10653-023-01477-z
- Statistical modelling of spatial and temporal variation in urban particle number size distribution at traffic and background sites L. Gerling et al. 10.1016/j.atmosenv.2020.117925
- Chemical composition and redox activity of PM0.25 near Los Angeles International Airport and comparisons to an urban traffic site F. Shirmohammadi et al. 10.1016/j.scitotenv.2017.08.239
- Influence of the sampling period and time resolution on the PM source apportionment: Study based on the high time-resolution data and long-term daily data Y. Tian et al. 10.1016/j.atmosenv.2017.07.003
- Particle number emission factors from diesel trucks at a traffic intersection: Long-term trend and relation to particle mass-based emission regulation Y. Fujitani et al. 10.1016/j.aeaoa.2019.100055
- Source apportionment of fine and ultrafine particle number concentrations in a major city of the Eastern Mediterranean P. Kalkavouras et al. 10.1016/j.scitotenv.2024.170042
- Light absorption enhancement of particulate matters and their source apportionment over the Asian continental outflow site and South Yellow Sea F. Cao et al. 10.1007/s11356-020-11134-y
- Groundwater and surface water quality characterization through positive matrix factorization combined with GIS approach C. Zanotti et al. 10.1016/j.watres.2019.04.058
- Spatial and temporal variation of sources contributing to quasi-ultrafine particulate matter PM0.36 in Augsburg, Germany F. Li et al. 10.1016/j.scitotenv.2018.03.041
- An aerosol concentrator/diffusion battery tandem to concentrate and separate ambient accumulation mode particles for evaluating their toxicological properties M. Pirhadi et al. 10.1016/j.atmosenv.2019.05.058
- Positive matrix factorization on source apportionment for typical pollutants in different environmental media: a review X. Sun et al. 10.1039/C9EM00529C
- Impact of particulate matter (PM) emissions from ships, locomotives, and freeways in the communities near the ports of Los Angeles (POLA) and Long Beach (POLB) on the air quality in the Los Angeles county A. Mousavi et al. 10.1016/j.atmosenv.2018.09.044
- Positive matrix factorization of ultrafine particle mass (PM0.1) at three sites in California W. Xue et al. 10.1016/j.scitotenv.2020.136902
- Pro-inflammatory responses to PM0.25 from airport and urban traffic emissions R. He et al. 10.1016/j.scitotenv.2018.05.382
- Development of a novel aerosol generation system for conducting inhalation exposures to ambient particulate matter (PM) S. Taghvaee et al. 10.1016/j.scitotenv.2019.02.214
- Traffic, marine ships and nucleation as the main sources of ultrafine particles in suburban Shanghai, China Q. Wang et al. 10.1039/D3EA00096F
- Development and field evaluation of an online monitor for near-continuous measurement of iron, manganese, and chromium in coarse airborne particulate matter (PM) M. Sowlat et al. 10.1080/02786826.2016.1221051
- 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
- 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
- Source apportionment of ultrafine particles in urban Europe M. Garcia-Marlès et al. 10.1016/j.envint.2024.109149
- 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
- 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
- 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
- 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
- Sources and Temporal Variations of Coarse Particulate Matter (PM) in Central Tehran, Iran E. Soleimanian et al. 10.3390/atmos10050291
- Multi-site comparison and source apportionment of equivalent Black Carbon mass concentrations (eBC) in the United States: Southern California Basin and Rochester, New York M. Savadkoohi et al. 10.1016/j.apr.2024.102340
- Long term trends in source apportioned particle number concentrations in Rochester NY P. Hopke et al. 10.1016/j.envpol.2024.123708
- Efficient data preprocessing, episode classification, and source apportionment of particle number concentrations C. Liang et al. 10.1016/j.scitotenv.2020.140923
- 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
- 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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