Articles | Volume 19, issue 7
https://doi.org/10.5194/acp-19-4863-2019
https://doi.org/10.5194/acp-19-4863-2019
Research article
 | 
11 Apr 2019
Research article |  | 11 Apr 2019

Receptor modelling of both particle composition and size distribution from a background site in London, UK – a two-step approach

David C. S. Beddows and Roy M. Harrison

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Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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Cited articles

Beccaceci, S., Mustoe, C., Butterfield, D., Tompkins, J., Sarantaridis, D., Quincey, D., Brown, R., Green, D., Grieve, A., and Jones, A.: Airborne Particulate Concentrations and Numbers in the United Kingdom (phase 3), Annual Report 2011, NPL Report as 74, available at: https://uk-air.defra.gov.uk/assets/documents/reports/cat05/1306241448_Particles_Network_Annual_Report_2011_(AS74).pdf (last access: 21 February 2019), 2013a. 
Beccaceci, S., Mustoe, C., Butterfield, D., Tompkins, J., Sarantaridis, D., Quincey, D., Brown, R., Green, D., Fuller, G., Tremper, A., Priestman, M., Font, A. F., and Jones, A.: Airborne Particulate Concentrations and Numbers in the United Kingdom (phase 3), Annual Report 2012, NPL Report as 83, available at: https://uk-air.defra.gov.uk/assets/documents/reports/cat05/1312100920_Particles_Network_Annual_report_2012_AS_83.pdf (last access: 21 February 2019), 2013b. 
Beddows, D. C. S. and. Harrison, R. M.: Two step PMF data from London Studies, Dataset, University of Birmingham, https://doi.org/10.25500/edata.bham.00000306, 2019. 
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. 
Bigi, A. and Harrison, R. M.: Analysis of the air pollution climate at a central urban background site, Atmos. Environ., 44, 2004–2012, 2010. 
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Short summary
Airborne particles are a cause of illness and premature death. Cost-effective control of particles in the atmosphere depends upon a reliable knowledge of their sources. This paper proposes and tests a new method for attributing particles quantitatively to the sources responsible for their emission or atmospheric formation.
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