Articles | Volume 11, issue 15
https://doi.org/10.5194/acp-11-8133-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-11-8133-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Elucidating determinants of aerosol composition through particle-type-based receptor modeling
M. L. McGuire
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College St., Toronto, Ontario, Canada
Air Quality and Research Division, Science and Technology Branch, Environment Canada, 4905 Dufferin St., Toronto, Ontario, Canada
C.-H. Jeong
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College St., Toronto, Ontario, Canada
J. G. Slowik
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College St., Toronto, Ontario, Canada
Department of Chemistry, University of Toronto, St. George St., Toronto, Ontario, Canada
now at: Paul Scherrer Institut, Villigen, Switzerland
R. Y.-W. Chang
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College St., Toronto, Ontario, Canada
Department of Chemistry, University of Toronto, St. George St., Toronto, Ontario, Canada
J. C. Corbin
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College St., Toronto, Ontario, Canada
Department of Chemistry, University of Toronto, St. George St., Toronto, Ontario, Canada
G. Lu
Air Quality and Research Division, Science and Technology Branch, Environment Canada, 4905 Dufferin St., Toronto, Ontario, Canada
C. Mihele
Air Quality and Research Division, Science and Technology Branch, Environment Canada, 4905 Dufferin St., Toronto, Ontario, Canada
P. J. G. Rehbein
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College St., Toronto, Ontario, Canada
D. M. L. Sills
Cloud Physics and Severe Weather Research Section, Environment Canada, Toronto, Ontario, Canada
J. P. D. Abbatt
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College St., Toronto, Ontario, Canada
Department of Chemistry, University of Toronto, St. George St., Toronto, Ontario, Canada
J. R. Brook
Air Quality and Research Division, Science and Technology Branch, Environment Canada, 4905 Dufferin St., Toronto, Ontario, Canada
G. J. Evans
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College St., Toronto, Ontario, Canada
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23 citations as recorded by crossref.
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- Fine‐particle emissions from solid biofuel combustion studied with single‐particle mass spectrometry: Identification of markers for organics, soot, and ash components J. Pagels et al. 10.1029/2012JD018389
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- Source apportionment of PM2.5 using PMF combined online bulk and single-particle measurements: Contribution of fireworks and biomass burning Y. Zhang et al. 10.1016/j.jes.2022.12.019
- Air Quality Impact and Physicochemical Aging of Biomass Burning Aerosols during the 2007 San Diego Wildfires M. Zauscher et al. 10.1021/es4004137
- Exploring the nature of air quality over southwestern Ontario: main findings from the Border Air Quality and Meteorology Study J. Brook et al. 10.5194/acp-13-10461-2013
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- Direct Sampling and Analysis of Atmospheric Particulate Organic Matter by Proton-Transfer-Reaction Mass Spectrometry M. Müller et al. 10.1021/acs.analchem.7b02582
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- Evaluation of chemical transport model predictions of primary organic aerosol for air masses classified by particle component-based factor analysis C. Stroud et al. 10.5194/acp-12-8297-2012
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- Review on physicochemical properties of pollutants released from fireworks: environmental and health effects and prevention X. Cao et al. 10.1139/er-2017-0063
- Source apportionment of single particles sampled at the industrially polluted town of Port Talbot, United Kingdom by ATOFMS A. Taiwo et al. 10.1016/j.atmosenv.2014.08.009
- Enhancing non-refractory aerosol apportionment from an urban industrial site through receptor modeling of complete high time-resolution aerosol mass spectra M. McGuire et al. 10.5194/acp-14-8017-2014
2 citations as recorded by crossref.
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