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High Resolution Spatial and Temporal Mapping of Traffic-Related Air Pollutants

Author

Listed:
  • Stuart Batterman

    (Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA)

  • Rajiv Ganguly

    (Department of Civil Engineering, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh 173234, India)

  • Paul Harbin

    (Institute for Population Health, 1400 E. Woodbridge, Detroit, MI 48207, USA)

Abstract

Vehicle traffic is one of the most significant emission sources of air pollutants in urban areas. While the influence of mobile source emissions is felt throughout an urban area, concentrations from mobile emissions can be highest near major roadways. At present, information regarding the spatial and temporal patterns and the share of pollution attributable to traffic-related air pollutants is limited, in part due to concentrations that fall sharply with distance from roadways, as well as the few monitoring sites available in cities. This study uses a newly developed dispersion model (RLINE) and a spatially and temporally resolved emissions inventory to predict hourly PM 2.5 and NO x concentrations across Detroit (MI, USA) at very high spatial resolution. Results for annual averages and high pollution days show contrasting patterns, the need for spatially resolved analyses, and the limitations of surrogate metrics like proximity or distance to roads. Data requirements, computational and modeling issues are discussed. High resolution pollutant data enable the identification of pollutant “hotspots”, “project-level” analyses of transportation options, development of exposure measures for epidemiology studies, delineation of vulnerable and susceptible populations, policy analyses examining risks and benefits of mitigation options, and the development of sustainability indicators integrating environmental, social, economic and health information.

Suggested Citation

  • Stuart Batterman & Rajiv Ganguly & Paul Harbin, 2015. "High Resolution Spatial and Temporal Mapping of Traffic-Related Air Pollutants," IJERPH, MDPI, vol. 12(4), pages 1-21, April.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:4:p:3646-3666:d:47588
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    References listed on IDEAS

    as
    1. Michelle Snyder & Saravanan Arunachalam & Vlad Isakov & Kevin Talgo & Brian Naess & Alejandro Valencia & Mohammad Omary & Neil Davis & Rich Cook & Adel Hanna, 2014. "Creating Locally-Resolved Mobile-Source Emissions Inputs for Air Quality Modeling in Support of an Exposure Study in Detroit, Michigan, USA," IJERPH, MDPI, vol. 11(12), pages 1-28, December.
    2. Stuart Batterman & Janet Burke & Vlad Isakov & Toby Lewis & Bhramar Mukherjee & Thomas Robins, 2014. "A Comparison of Exposure Metrics for Traffic-Related Air Pollutants: Application to Epidemiology Studies in Detroit, Michigan," IJERPH, MDPI, vol. 11(9), pages 1-25, September.
    3. Vlad Isakov & Saravanan Arunachalam & Stuart Batterman & Sarah Bereznicki & Janet Burke & Kathie Dionisio & Val Garcia & David Heist & Steve Perry & Michelle Snyder & Alan Vette, 2014. "Air Quality Modeling in Support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS)," IJERPH, MDPI, vol. 11(9), pages 1-17, August.
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    Cited by:

    1. Yu-Cheng Chen & Chin-Kai Hsu & Chia C. Wang & Perng-Jy Tsai & Chun-Yuan Wang & Mei-Ru Chen & Ming-Yeng Lin, 2015. "Particulate Matter Exposure in a Police Station Located near a Highway," IJERPH, MDPI, vol. 12(11), pages 1-16, November.
    2. Sheena E. Martenies & Chad W. Milando & Guy O. Williams & Stuart A. Batterman, 2017. "Disease and Health Inequalities Attributable to Air Pollutant Exposure in Detroit, Michigan," IJERPH, MDPI, vol. 14(10), pages 1-24, October.
    3. Zhiqing Zhao & Faying Lin & Bennett Wang & Yihai Cao & Xu Hou & Yangang Wang, 2016. "Residential Proximity to Major Roadways and Risk of Type 2 Diabetes Mellitus: A Meta-Analysis," IJERPH, MDPI, vol. 14(1), pages 1-12, December.
    4. Maksymilian Mądziel, 2023. "Vehicle Emission Models and Traffic Simulators: A Review," Energies, MDPI, vol. 16(9), pages 1-31, May.
    5. Dusan Jandacka & Daniela Durcanska, 2021. "Seasonal Variation, Chemical Composition, and PMF-Derived Sources Identification of Traffic-Related PM 1 , PM 2.5 , and PM 2.5–10 in the Air Quality Management Region of Žilina, Slovakia," IJERPH, MDPI, vol. 18(19), pages 1-23, September.

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