Articles | Volume 13, issue 14
Atmos. Chem. Phys., 13, 7199–7213, 2013

Special issue: Quantifying the impact of Boreal fires on tropospheric oxidants...

Atmos. Chem. Phys., 13, 7199–7213, 2013

Research article 30 Jul 2013

Research article | 30 Jul 2013

Identifying the sources driving observed PM2.5 temporal variability over Halifax, Nova Scotia, during BORTAS-B

M. D. Gibson1, J. R. Pierce2,3, D. Waugh4, J. S. Kuchta1, L. Chisholm4, T. J. Duck2, J. T. Hopper1, S. Beauchamp4, G. H. King1, J. E. Franklin2, W. R. Leaitch5, A. J. Wheeler6, Z. Li7, G. A. Gagnon8, and P. I. Palmer9 M. D. Gibson et al.
  • 1Department of Process Engineering and Applied Science, Dalhousie University, Halifax, Nova Scotia, Canada
  • 2Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
  • 3Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, USA
  • 4Environment Canada, Dartmouth, Nova Scotia, Canada
  • 5Environment Canada, Toronto, Ontario, Canada
  • 6Health Canada, Ottawa, Ontario, Canada
  • 7College of Environmental Science and Engineering, Ocean University of China, Qingdao, China
  • 8Department of Civil and Resources Engineering, Dalhousie University, Halifax, Nova Scotia, Canada
  • 9School of GeoSciences, University of Edinburgh, Edinburgh, UK

Abstract. The source attribution of observed variability of total PM2.5 concentrations over Halifax, Nova Scotia, was investigated between 11 July and 26 August 2011 using measurements of PM2.5 mass and PM2.5 chemical composition (black carbon, organic matter, anions, cations and 33 elements). This was part of the BORTAS-B (quantifying the impact of BOReal forest fires on Tropospheric oxidants using Aircraft and Satellites) experiment, which investigated the atmospheric chemistry and transport of seasonal boreal wildfire emissions over eastern Canada in 2011. The US EPA Positive Matrix Factorization (PMF) receptor model was used to determine the average mass (percentage) source contribution over the 45 days, which was estimated to be as follows: long-range transport (LRT) pollution: 1.75 μg m−3 (47%); LRT pollution marine mixture: 1.0 μg m−3 (27.9%); vehicles: 0.49 μg m−3 (13.2%); fugitive dust: 0.23 μg m−3 (6.3%); ship emissions: 0.13 μg m−3 (3.4%); and refinery: 0.081 μg m−3 (2.2%). The PMF model describes 87% of the observed variability in total PM2.5 mass (bias = 0.17 and RSME = 1.5 μg m−3). The factor identifications are based on chemical markers, and they are supported by air mass back trajectory analysis and local wind direction. Biomass burning plumes, found by other surface and aircraft measurements, were not significant enough to be identified in this analysis. This paper presents the results of the PMF receptor modelling, providing valuable insight into the local and upwind sources impacting surface PM2.5 in Halifax and a vital comparative data set for the other collocated ground-based observations of atmospheric composition made during BORTAS-B.

Final-revised paper