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Characterization of Annual Average Traffic-Related Air Pollution Concentrations in the Greater Seattle Area from a Year-Long Mobile Monitoring Campaign
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    Ecotoxicology and Public Health

    Characterization of Annual Average Traffic-Related Air Pollution Concentrations in the Greater Seattle Area from a Year-Long Mobile Monitoring Campaign
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    • Magali N. Blanco*
      Magali N. Blanco
      Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Hans Rosling Center for Population Health, 3980 15th Avenue NE, Seattle, Washington 98195, United States
      *Email: [email protected]
    • Amanda Gassett
      Amanda Gassett
      Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Hans Rosling Center for Population Health, 3980 15th Avenue NE, Seattle, Washington 98195, United States
    • Timothy Gould
      Timothy Gould
      Department of Civil & Environmental Engineering, College of Engineering, University of Washington, 201 More Hall, Box 352700, Seattle, Washington 98195, United States
    • Annie Doubleday
      Annie Doubleday
      Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Hans Rosling Center for Population Health, 3980 15th Avenue NE, Seattle, Washington 98195, United States
    • David L. Slager
      David L. Slager
      Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Hans Rosling Center for Population Health, 3980 15th Avenue NE, Seattle, Washington 98195, United States
    • Elena Austin
      Elena Austin
      Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Hans Rosling Center for Population Health, 3980 15th Avenue NE, Seattle, Washington 98195, United States
      More by Elena Austin
    • Edmund Seto
      Edmund Seto
      Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Hans Rosling Center for Population Health, 3980 15th Avenue NE, Seattle, Washington 98195, United States
      More by Edmund Seto
    • Timothy V. Larson
      Timothy V. Larson
      Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Hans Rosling Center for Population Health, 3980 15th Avenue NE, Seattle, Washington 98195, United States
      Department of Civil & Environmental Engineering, College of Engineering, University of Washington, 201 More Hall, Box 352700, Seattle, Washington 98195, United States
    • Julian D. Marshall
      Julian D. Marshall
      Department of Civil & Environmental Engineering, College of Engineering, University of Washington, 201 More Hall, Box 352700, Seattle, Washington 98195, United States
    • Lianne Sheppard
      Lianne Sheppard
      Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Hans Rosling Center for Population Health, 3980 15th Avenue NE, Seattle, Washington 98195, United States
      Department of Biostatistics, School of Public Health, University of Washington, Hans Rosling Center for Population Health, 3980 15th Avenue NE, Seattle, Washington 98195, United States
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    Environmental Science & Technology

    Cite this: Environ. Sci. Technol. 2022, 56, 16, 11460–11472
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    https://doi.org/10.1021/acs.est.2c01077
    Published August 2, 2022
    Copyright © 2022 American Chemical Society

    Abstract

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    Growing evidence links traffic-related air pollution (TRAP) to adverse health effects. We designed an innovative and extensive mobile monitoring campaign to characterize TRAP exposure levels for the Adult Changes in Thought (ACT) study, a Seattle-based cohort. The campaign measured particle number concentration (PNC) to capture ultrafine particles (UFP), black carbon (BC), nitrogen dioxide (NO2), fine particulate matter (PM2.5), and carbon dioxide (CO2) at 309 roadside sites within a large, 1200 land km2 (463 mi2) area representative of the cohort. We collected about 29 two-minute measurements at each site during all seasons, days of the week, and most times of the day over a 1-year period. Validation showed good agreement between our BC, NO2, and PM2.5 measurements and monitoring agency sites (R2 = 0.68–0.73). Universal kriging–partial least squares models of annual average pollutant concentrations had cross-validated mean square error-based R2 (and root mean square error) values of 0.77 (1177 pt/cm3) for PNC, 0.60 (102 ng/m3) for BC, 0.77 (1.3 ppb) for NO2, 0.70 (0.3 μg/m3) for PM2.5, and 0.51 (4.2 ppm) for CO2. Overall, we found that the design of this extensive campaign captured the spatial pollutant variations well and these were explained by sensible land use features, including those related to traffic.

    Copyright © 2022 American Chemical Society

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    Supporting Information

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.est.2c01077.

    • Mobile monitoring campaign description, protocols, and QAQC; summary estimate and prediction results presented in tables and figures (PDF)

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    Cited By

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    This article is cited by 23 publications.

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    2. Magali N. Blanco, Jianzhao Bi, Elena Austin, Timothy V. Larson, Julian D. Marshall, Lianne Sheppard. Impact of Mobile Monitoring Network Design on Air Pollution Exposure Assessment Models. Environmental Science & Technology 2023, 57 (1) , 440-450. https://doi.org/10.1021/acs.est.2c05338
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    16. Julien Vachon, Stéphane Buteau, Ying Liu, Keith Van Ryswyk, Marianne Hatzopoulou, Audrey Smargiassi. Spatial and Spatiotemporal Modeling of Intra-Urban Ultrafine Particles: A Comparison of Linear, Nonlinear, Regularized, and Machine Learning Methods. 2024https://doi.org/10.2139/ssrn.4866426
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    Environmental Science & Technology

    Cite this: Environ. Sci. Technol. 2022, 56, 16, 11460–11472
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.est.2c01077
    Published August 2, 2022
    Copyright © 2022 American Chemical Society

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