Source apportionment of ambient fine and coarse particulate matter polycyclic aromatic hydrocarbons at the Bertha Ganter-Fort McKay community site in the Oil Sands Region of Alberta, Canada

Matthew S Landis; William B Studabaker; J Patrick Pancras; Joseph R Graney; Emily M White; Eric S Edgerton

doi:10.1016/j.scitotenv.2019.02.126

Source apportionment of ambient fine and coarse particulate matter polycyclic aromatic hydrocarbons at the Bertha Ganter-Fort McKay community site in the Oil Sands Region of Alberta, Canada

Sci Total Environ. 2019 May 20:666:540-558. doi: 10.1016/j.scitotenv.2019.02.126. Epub 2019 Feb 10.

Authors

Matthew S Landis¹, William B Studabaker², J Patrick Pancras³, Joseph R Graney⁴, Emily M White⁵, Eric S Edgerton⁶

Affiliations

¹ Integrated Atmospheric Solutions, LLC., Cary, NC, USA. Electronic address: mlandis@atmospheric-solutions.com.
² Tobacco Road Collaborative, LLC, Raleigh, NC, USA.
³ Pancras Consulting, Cary, NC, USA.
⁴ Geological Sciences and Environmental Studies, Binghamton University, Binghamton, NY, USA.
⁵ Maed Consulting, Pittsboro, NC, USA.
⁶ Atmospheric Research & Analysis, Inc., Cary, NC, USA.

PMID: 30802668
DOI: 10.1016/j.scitotenv.2019.02.126

Abstract

A comprehensive filter-based particulate matter polycyclic aromatic hydrocarbon (PAH) source apportionment study was conducted at the Wood Buffalo Environmental Association Bertha Ganter-Fort McKay (BGFM) community monitoring station from 2014 to 2015 to quantify ambient concentrations and identify major sources. The BGFM station is located in close proximity to several surface oil sands production facilities and was previously found to be impacted by their air emissions. 24-hour integrated PM_2.5 and PM_10-2.5 samples were collected on a 1-in-3-day schedule yielding 108 complete organic/inorganic filter sets for source apportionment modeling. During the study period PM_2.5 averaged 8.6 ± 11.8 μg m^-3 (mean ± standard deviation), and PM_10-2.5 averaged 8.5 ± 9.5 μg m^-3. Wind regression analysis indicated that the oil sands production facilities were significant sources of PM_2.5 mass and black carbon (BC), and that wildland fires were a significant source of the highest PM_2.5 (>10 μg m^-3) and BC events. A six-factor positive matrix factorization (PMF) model solution explained 95% of the measured PM_2.5 and 78% of the measured ΣPAH. Five sources significantly contributed to PM_2.5 including: Biomass Combustion (3.57 μg m^-3; 40%); Fugitive Dust (1.86 μg m^-3; 28%); Upgrader Stack Emissions (1.44 μg m^-3; 21%); Petrogenic PAH (1.20 μg m^-3; 18%); and Transported Aerosol (0.43 μg m^-3 and 6%). However, the analysis indicated that only the pyrogenic PAH source factor significantly contributed (78%) to the measured ΣPAH. A five-factor PMF model dominated by fugitive dust sources explained 98% of PM_10-2.5 mass and 86% of the ΣPAH. The predominant sources of PM_10-2.5 mass were (i) Haul Road Dust (4.82 μg m^-3; 53%), (ii) Mixed Fugitive Dust (2.89 μg m^-3; 32%), (iii) Fugitive Oil Sand (0.88 μg m^-3; 10%), Mobile Sources (0.23 μg m^-3; 2%), and Organic Aerosol (0.06 μg m^-3; 1%). Only the Organic Aerosol source significantly contributed (86%) to the measured ΣPAH.

Keywords: Biomass combustion; Fugitive dust; PAHs, PACs; PM(10); PM(2.5).