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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Cited
36 citations as recorded by crossref.
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- 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
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- 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
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- 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
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- 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
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- Pre-monsoon submicron aerosol composition and source contribution in the Kathmandu Valley, Nepal B. Werden et al. 10.1039/D2EA00008C
- PM2.5 source apportionment using organic marker-based chemical mass balance modeling: Influence of inorganic markers and sensitivity to source profiles Y. Tian et al. 10.1016/j.atmosenv.2022.119477
- Source apportionment of fine organic carbon (OC) using receptor modelling at a rural site of Beijing: Insight into seasonal and diurnal variation of source contributions X. Wu et al. 10.1016/j.envpol.2020.115078
- Airborne particulate matter in Southeast Asia: a review on variation, chemical compositions and source apportionment S. Saksakulkrai et al. 10.1071/EN22044
- An evaluation of source apportionment of fine OC and PM2.5by multiple methods: APHH-Beijing campaigns as a case study J. Xu et al. 10.1039/D0FD00095G
- Fingerprinting and emission rates of particulate organic compounds from typical restaurants in Portugal A. Vicente et al. 10.1016/j.scitotenv.2021.146090
- Review on recent progress in observations, source identifications and countermeasures of PM2.5 C. Liang et al. 10.1016/j.envint.2015.10.016
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35 citations as recorded by crossref.
- Effect of Source Emission Control Measures on Source of Atmospheric PM2.5 during “Parade Blue” Period Y. Xie et al. 10.3390/atmos14111639
- ACTRIS ACSM intercomparison – Part 2: Intercomparison of ME-2 organic source apportionment results from 15 individual, co-located aerosol mass spectrometers R. Fröhlich et al. 10.5194/amt-8-2555-2015
- 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, PM<sub>1</sub> 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
- Application of air parcel residence time analysis for air pollution prevention and control policy in the Pearl River Delta region Y. Huang et al. 10.1016/j.scitotenv.2018.12.205
- Source apportionment of PM10 and PM2.5 in major urban Greek agglomerations using a hybrid source-receptor modeling process G. Argyropoulos et al. 10.1016/j.scitotenv.2017.05.088
- 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
- Source apportionment of carbonaceous aerosols in Beijing with radiocarbon and organic tracers: insight into the differences between urban and rural sites S. Hou et al. 10.5194/acp-21-8273-2021
- 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
- Pre-monsoon submicron aerosol composition and source contribution in the Kathmandu Valley, Nepal B. Werden et al. 10.1039/D2EA00008C
- PM2.5 source apportionment using organic marker-based chemical mass balance modeling: Influence of inorganic markers and sensitivity to source profiles Y. Tian et al. 10.1016/j.atmosenv.2022.119477
- Source apportionment of fine organic carbon (OC) using receptor modelling at a rural site of Beijing: Insight into seasonal and diurnal variation of source contributions X. Wu et al. 10.1016/j.envpol.2020.115078
- Airborne particulate matter in Southeast Asia: a review on variation, chemical compositions and source apportionment S. Saksakulkrai et al. 10.1071/EN22044
- An evaluation of source apportionment of fine OC and PM2.5by multiple methods: APHH-Beijing campaigns as a case study J. Xu et al. 10.1039/D0FD00095G
- Fingerprinting and emission rates of particulate organic compounds from typical restaurants in Portugal A. Vicente et al. 10.1016/j.scitotenv.2021.146090
- Review on recent progress in observations, source identifications and countermeasures of PM2.5 C. Liang et al. 10.1016/j.envint.2015.10.016
- Real‐Time Characterization of Aerosol Compositions, Sources, and Aging Processes in Guangzhou During PRIDE‐GBA 2018 Campaign W. Chen et al. 10.1029/2021JD035114
- Source apportionment of fine organic carbon at an urban site of Beijing using a chemical mass balance model J. Xu et al. 10.5194/acp-21-7321-2021
- Comparative Assessment of Cooking Emission Contributions to Urban Organic Aerosol Using Online Molecular Tracers and Aerosol Mass Spectrometry Measurements D. Huang et al. 10.1021/acs.est.1c03280
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 20 Apr 2024
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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