Uncoupling Aviation and Roadway Contributions to Ultrafine Particle and Black Carbon Exposure in a Marginalized Neighborhood

Abstract Ultrafine particles (UFP) and black carbon (BC) are key markers of combustion-related air pollution, yet disentangling their sources remains a challenge in complex urban environments. Using a hybrid mobile and fixed-site monitoring campaign, we investigated a marginalized northwest Toronto neighbourhood downwind of Toronto Pearson International Airport and a freight distribution corridor. Results reveal a divergent spatial footprint for the two pollutants. UFP concentrations correlated strongly with flight activity (r = 0.58, p < 0.05 at 3.5 km), with 1.7- to 3.3-fold enrichment downwind of the airport, measured as the ratio of the IQR of UFP concentrations under downwind versus other wind conditions, reaching 3.2-fold at residential sites ∼8 km away. BC was instead driven by roadway proximity and freight activity, with weak correlations with flight counts. BC–UFP correlations were strong during northerly winds (Mean r = 0.62), but weak downwind of the airport (Mean r = 0.1), indicating shared traffic and industrial sources versus independent sources downwind. Random Forest models (R2 = 0.79 for UFP, R2 = 0.87 for BC) identified industrial land-use and a highway as dominant drivers for both pollutants, airport proximity as a UFP-specific driver, and freight trucking as a BC-specific driver. These findings demonstrate that airport emissions can contribute to increased community UFP exposure several kilometers downwind, while local freight activity drives elevated BC concentrations.

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Publication Details

Journal
Environmental Science & Technology
Published
2026-09-05
DOI
https://doi.org/10.1021/acs.est.6c06666
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
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article

Uncoupling Aviation and Roadway Contributions to Ultrafine Particle and Black Carbon Exposure in a Marginalized Neighborhood

Marianne Hatzopoulou, Greg J. Evans, Arman Ganji, Angelos T. Anastasopolos et al.
Environmental Science & Technology
Air Quality and Health Impacts
article

Uncoupling Aviation and Roadway Contributions to Ultrafine Particle and Black Carbon Exposure in a Marginalized Neighborhood

Marianne Hatzopoulou, Greg J. Evans, Arman Ganji, Angelos T. Anastasopolos, Keith Van Ryswyk, Cheol–Heon Jeong, Ryan Kulka, Samer Sawan
article en

Abstract

Abstract Ultrafine particles (UFP) and black carbon (BC) are key markers of combustion-related air pollution, yet disentangling their sources remains a challenge in complex urban environments. Using a hybrid mobile and fixed-site monitoring campaign, we investigated a marginalized northwest Toronto neighbourhood downwind of Toronto Pearson International Airport and a freight distribution corridor. Results reveal a divergent spatial footprint for the two pollutants. UFP concentrations correlated strongly with flight activity (r = 0.58, p < 0.05 at 3.5 km), with 1.7- to 3.3-fold enrichment downwind of the airport, measured as the ratio of the IQR of UFP concentrations under downwind versus other wind conditions, reaching 3.2-fold at residential sites ∼8 km away. BC was instead driven by roadway proximity and freight activity, with weak correlations with flight counts. BC–UFP correlations were strong during northerly winds (Mean r = 0.62), but weak downwind of the airport (Mean r = 0.1), indicating shared traffic and industrial sources versus independent sources downwind. Random Forest models (R2 = 0.79 for UFP, R2 = 0.87 for BC) identified industrial land-use and a highway as dominant drivers for both pollutants, airport proximity as a UFP-specific driver, and freight trucking as a BC-specific driver. These findings demonstrate that airport emissions can contribute to increased community UFP exposure several kilometers downwind, while local freight activity drives elevated BC concentrations.

Environmental Science & Technology
Health Canada (CA), University of Toronto (CA)
Sustainable cities and communities
Openalex Percentile: Top 11%
Air Quality and Health Impacts
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