Articles | Volume 15, issue 4
https://doi.org/10.5194/acp-15-2139-2015
© Author(s) 2015. 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-15-2139-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Feb 2015
Research article |
| 26 Feb 2015
Receptor modelling of fine particles in southern England using CMB including comparison with AMS-PMF factors
J. Yin
Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
S. A. Cumberland
Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia
School of Earth, Atmospheric and Environmental Sciences, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
National Centre for Atmospheric Science, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
D. E. Young
School of Earth, Atmospheric and Environmental Sciences, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
now at: Department of Environmental Toxicology, University of California, Davis, CA 95616, USA
P. I. Williams
School of Earth, Atmospheric and Environmental Sciences, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
National Centre for Atmospheric Science, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
School of Earth, Atmospheric and Environmental Sciences, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
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- Effect of Source Emission Control Measures on Source of Atmospheric PM2.5 during “Parade Blue” Period Y. Xie et al. 10.3390/atmos14111639
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- Wintertime aerosol chemical composition, volatility, and spatial variability in the greater London area L. Xu et al. 10.5194/acp-16-1139-2016
- Emissions and source allocation of carbonaceous air pollutants from wood stoves in developed countries: A review Y. Olsen et al. 10.1016/j.apr.2019.10.007
- Submicron Aerosol Composition and Source Contribution across the Kathmandu Valley, Nepal, in Winter B. Werden et al. 10.1021/acsearthspacechem.2c00226
- Source apportionment of fine and coarse particles at a roadside and urban background site in London during the 2012 summer ClearfLo campaign L. Crilley et al. 10.1016/j.envpol.2016.06.002
- The investigations on organic sources and inorganic formation processes and their implications on haze during late winter in Seoul, Korea D. Kim et al. 10.1016/j.envres.2022.113174
- Sensitivity of a Chemical Mass Balance model for PM2.5 to source profiles for differing styles of cooking K. Abdullahi et al. 10.1016/j.atmosenv.2018.01.046
- On the Origin of AMS “Cooking Organic Aerosol” at a Rural Site M. Dall’Osto et al. 10.1021/acs.est.5b02922
- Investigating a two-component model of solid fuel organic aerosol in London: processes, PM1 contributions, and seasonality D. Young et al. 10.5194/acp-15-2429-2015
- More mileage in reducing urban air pollution from road traffic R. Harrison et al. 10.1016/j.envint.2020.106329
- An iterative method for evaluating the inter-comparability between chemical mass balance and multivariate receptor models G. Argyropoulos et al. 10.1016/j.chemolab.2016.03.032
- Airborne particulate matter R. Harrison 10.1098/rsta.2019.0319
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- Applications of environmental mass spectrometry in atmospheric haze chemistry T. Chen et al. 10.1016/j.trac.2024.117614
- Model simulations of cooking organic aerosol (COA) over the UK using estimates of emissions based on measurements at two sites in London R. Ots et al. 10.5194/acp-16-13773-2016
- Non-linearity of secondary pollutant formation estimated from emissions data and measured precursor-secondary pollutant relationships R. Harrison et al. 10.1038/s41612-022-00297-9
- Receptor modelling of both particle composition and size distribution from a background site in London, UK D. Beddows et al. 10.5194/acp-15-10107-2015
- Online Chemical Characterization of Food-Cooking Organic Aerosols: Implications for Source Apportionment E. Reyes-Villegas et al. 10.1021/acs.est.7b06278
- Quantification of cooking organic aerosol in the indoor environment using aerodyne aerosol mass spectrometers E. Katz et al. 10.1080/02786826.2021.1931013
- Determination of sources of fine particles in different ambient atmospheres in South Korea using a chemical mass balance model W. Rehman et al. 10.1080/15275922.2019.1694099
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- Source Apportionment of Fine-Particle, Water-Soluble Organic Nitrogen and Its Association with the Inflammatory Potential of Lung Epithelial Cells Q. Liu et al. 10.1021/acs.est.9b02523
- Behaviour of traffic emitted semi-volatile and intermediate volatility organic compounds within the urban atmosphere R. Xu et al. 10.1016/j.scitotenv.2020.137470
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Saved (final revised paper)
Latest update: 10 Jul 2025
Short summary
Breathing particles from polluted air is known to cause increased health complaints and higher death rates. Airborne particles come from a range of sources; in order to implement cost-effective control measures, it is necessary to understand the amount contributed by each. In this paper, two advanced procedures for estimating the contributions of particle sources in London are compared with one another, revealing a wide range of sources including traffic, woodsmoke and cooking particles.
Breathing particles from polluted air is known to cause increased health complaints and higher...
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