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Source Identification and Characterization

Source Identification and Characterization

Aerosol emissions and their interactions with airborne pollutants directly influence air quality and have climatic impacts. Source identification and characterization aims to understand the properties of aerosols at a location of interest, known as the receptor site, in terms of the contributions and characteristics of emissions from different sources. In this area of research, statistical models are used to estimate the relative contributions of emissions from sources based on measurements made at receptor sites. In addition, measurements are being used to characterize aerosols released from known sources; vehicles are of particular interest in this regard. Air quality management is dependent on the identification of aerosol emission sources, and the ability to quantitatively relate emissions to the characteristics of the aerosols at a receptor site.


Data Analysis and Source Apportionment of PM2.5 in Golden, British Columbia using Positive Matrix Factorization (PM) Contract report, C-H. Jeong, G.J. Evans, CR-WB-2007-02

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Advanced Factor Analysis of Chemically Speciated Aerosols using Non-Refractory Mass Spectra and Trace Refractory Elemental Compositions, M. McGuire1, G.J. Evans1, J. Brook2, C. Jeong, G. Lu2, J. Ondov3, Conference Presentation, CP-WB-2007-01

1Southern Ontario Centre for Atmospheric Aerosol Research, Department of Chemical Engineering and Applied Chemistry, University of Toronto, 2Meteorological Service of Canada, Environment Canada, 3University of Maryland

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ATOFMS ART2a Analysis and IT Support for SOCAAR, E. McDermott, Summer Research Report, SRA-WB-2006-05

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Investigation of the Secondary Organic Aerosol (SOA) Fraction, Summer 2005 British Columbia, Andrew J. Knox1, Greg J. Evans1, Jeffrey R. Brook1,2, Yayne-Abeba Aklilu2, Patrick Lee2, Gang Lu2, Conference Presentation, CP-WB-2006-03

1Department of Chemical Engineering and Applied Chemistry, University of Toronto, M5S3E5, Toronto, Canada, 2Air Quality Research Division, Environment Canada, M3H 5T4, Toronto, Canada

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Interpretation of Pollutant Data, S. Basma, Summer Research Report, SRA-WB-2005-01

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Application of Advanced Receptor Modelling to Highly Time Resolved Aerosol Data, K. C. Buset, M.A.Sc. Thesis, MASc-WB-2005-01

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