Characterization of Annual Average Traffic-Related Air Pollution Concentrations in the Greater Seattle Area from a Year-Long Mobile Monitoring CampaignClick to copy article linkArticle link copied!
- Magali N. Blanco*Magali N. Blanco*Email: [email protected]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 StatesMore by Magali N. Blanco
- Amanda GassettAmanda GassettDepartment 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 StatesMore by Amanda Gassett
- Timothy GouldTimothy GouldDepartment of Civil & Environmental Engineering, College of Engineering, University of Washington, 201 More Hall, Box 352700, Seattle, Washington 98195, United StatesMore by Timothy Gould
- Annie DoubledayAnnie DoubledayDepartment 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 StatesMore by Annie Doubleday
- David L. SlagerDavid L. SlagerDepartment 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 StatesMore by David L. Slager
- Elena AustinElena AustinDepartment 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 StatesMore by Elena Austin
- Edmund SetoEdmund SetoDepartment 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 StatesMore by Edmund Seto
- Timothy V. LarsonTimothy V. LarsonDepartment 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 StatesDepartment of Civil & Environmental Engineering, College of Engineering, University of Washington, 201 More Hall, Box 352700, Seattle, Washington 98195, United StatesMore by Timothy V. Larson
- Julian D. MarshallJulian D. MarshallDepartment of Civil & Environmental Engineering, College of Engineering, University of Washington, 201 More Hall, Box 352700, Seattle, Washington 98195, United StatesMore by Julian D. Marshall
- Lianne SheppardLianne SheppardDepartment 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 StatesDepartment of Biostatistics, School of Public Health, University of Washington, Hans Rosling Center for Population Health, 3980 15th Avenue NE, Seattle, Washington 98195, United StatesMore by Lianne Sheppard
Abstract
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.
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