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Article: Examining the social distributions in neighbourhood black carbon and ultrafine particles in Montreal and Toronto, Canada

TitleExamining the social distributions in neighbourhood black carbon and ultrafine particles in Montreal and Toronto, Canada
Authors
KeywordsAir pollution
Black carbon
Environmental justice
Ultrafine particles
Vulnerability
Issue Date1-Apr-2025
PublisherElsevier
Citation
Environment International, 2025, v. 198 How to Cite?
AbstractBackground: Socioeconomic inequities in outdoor ultrafine particles (UFP) and black carbon (BC) are understudied in Canada, where metropoles like Montreal and Toronto feature distinct sociodemographic diversity and urban characteristics compared to U.S. cities. Methods: We collected vulnerability indicators, including social, economic, household composition, and immigration status, at the dissemination area level for Montreal and Toronto using data from the 2006 and 2021 Canadian Census of Population. Areas were classified as disadvantaged, intermediate, or advantaged following K-means clustering analysis. We aggregated and calculated population-weighted average concentrations of BC and UFP, and UFP size at the dissemination area and cluster levels using high-resolution exposure surfaces, derived from year-long mobile monitoring campaigns conducted in each city during 2020–2021. Final exposure surfaces were generated by integrating predictions from land-use regression models and deep convolutional neural network models. Findings: We observed high within-city variations in aggregated air pollutant levels, with higher outdoor BC and UFP concentrations and smaller UFP sizes in areas near local sources such as major roads, railways, airports, and densely populated regions. Advantaged areas experienced the lowest median UFP concentrations in both Montreal (10,707 pt/cm3) and Toronto (10,988 pt/cm3), as well as the lowest BC concentrations (650 ng/m3) in Montreal. The highest median UFP concentrations were observed in intermediate areas in Montreal (15,709 pt/cm3) and disadvantaged areas in Toronto (12,228 pt/cm3). Conversely, the highest BC concentrations were observed in disadvantaged and intermediate areas in Montreal (805–811 ng/m3), and disadvantaged and advantaged areas in Toronto (1,228–1,252 ng/m3). Notably, high priority areas for the double burden of vulnerability and high BC and UFP concentrations were located near air pollutants local emission sources. Interpretation: Our findings highlight the importance of prioritizing exposure mitigation for populations residing near local sources and to understand contextual factors influencing inequities across cities and pollutants.
Persistent Identifierhttp://hdl.handle.net/10722/362804
ISSN
2023 Impact Factor: 10.3
2023 SCImago Journal Rankings: 3.015

 

DC FieldValueLanguage
dc.contributor.authorBatisse, Emmanuelle-
dc.contributor.authorLloyd, Marshall-
dc.contributor.authorCavanaugh, Alicia-
dc.contributor.authorGanji, Arman-
dc.contributor.authorXu, Junshi-
dc.contributor.authorHatzopoulou, Marianne-
dc.contributor.authorBaumgartner, Jill-
dc.contributor.authorWeichenthal, Scott-
dc.date.accessioned2025-10-01T00:35:22Z-
dc.date.available2025-10-01T00:35:22Z-
dc.date.issued2025-04-01-
dc.identifier.citationEnvironment International, 2025, v. 198-
dc.identifier.issn0160-4120-
dc.identifier.urihttp://hdl.handle.net/10722/362804-
dc.description.abstractBackground: Socioeconomic inequities in outdoor ultrafine particles (UFP) and black carbon (BC) are understudied in Canada, where metropoles like Montreal and Toronto feature distinct sociodemographic diversity and urban characteristics compared to U.S. cities. Methods: We collected vulnerability indicators, including social, economic, household composition, and immigration status, at the dissemination area level for Montreal and Toronto using data from the 2006 and 2021 Canadian Census of Population. Areas were classified as disadvantaged, intermediate, or advantaged following K-means clustering analysis. We aggregated and calculated population-weighted average concentrations of BC and UFP, and UFP size at the dissemination area and cluster levels using high-resolution exposure surfaces, derived from year-long mobile monitoring campaigns conducted in each city during 2020–2021. Final exposure surfaces were generated by integrating predictions from land-use regression models and deep convolutional neural network models. Findings: We observed high within-city variations in aggregated air pollutant levels, with higher outdoor BC and UFP concentrations and smaller UFP sizes in areas near local sources such as major roads, railways, airports, and densely populated regions. Advantaged areas experienced the lowest median UFP concentrations in both Montreal (10,707 pt/cm3) and Toronto (10,988 pt/cm3), as well as the lowest BC concentrations (650 ng/m3) in Montreal. The highest median UFP concentrations were observed in intermediate areas in Montreal (15,709 pt/cm3) and disadvantaged areas in Toronto (12,228 pt/cm3). Conversely, the highest BC concentrations were observed in disadvantaged and intermediate areas in Montreal (805–811 ng/m3), and disadvantaged and advantaged areas in Toronto (1,228–1,252 ng/m3). Notably, high priority areas for the double burden of vulnerability and high BC and UFP concentrations were located near air pollutants local emission sources. Interpretation: Our findings highlight the importance of prioritizing exposure mitigation for populations residing near local sources and to understand contextual factors influencing inequities across cities and pollutants.-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofEnvironment International-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAir pollution-
dc.subjectBlack carbon-
dc.subjectEnvironmental justice-
dc.subjectUltrafine particles-
dc.subjectVulnerability-
dc.titleExamining the social distributions in neighbourhood black carbon and ultrafine particles in Montreal and Toronto, Canada-
dc.typeArticle-
dc.identifier.doi10.1016/j.envint.2025.109395-
dc.identifier.scopuseid_2-s2.0-105000635607-
dc.identifier.volume198-
dc.identifier.eissn1873-6750-
dc.identifier.issnl0160-4120-

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