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Creating Locally-Resolved Mobile-Source Emissions Inputs for Air Quality Modeling in Support of an Exposure Study in Detroit, Michigan, USA

Author

Listed:
  • Michelle Snyder

    (Institute for the Environment, University of North Carolina at Chapel Hill, 100 Europa Drive, Suite 490, Chapel Hill, NC 27517, USA)

  • Saravanan Arunachalam

    (Institute for the Environment, University of North Carolina at Chapel Hill, 100 Europa Drive, Suite 490, Chapel Hill, NC 27517, USA
    These authors contributed equally to this work.)

  • Vlad Isakov

    (National Exposure Research Laboratory, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA
    These authors contributed equally to this work.)

  • Kevin Talgo

    (Institute for the Environment, University of North Carolina at Chapel Hill, 100 Europa Drive, Suite 490, Chapel Hill, NC 27517, USA
    These authors contributed equally to this work.)

  • Brian Naess

    (Institute for the Environment, University of North Carolina at Chapel Hill, 100 Europa Drive, Suite 490, Chapel Hill, NC 27517, USA
    These authors contributed equally to this work.)

  • Alejandro Valencia

    (Institute for the Environment, University of North Carolina at Chapel Hill, 100 Europa Drive, Suite 490, Chapel Hill, NC 27517, USA
    These authors contributed equally to this work.)

  • Mohammad Omary

    (Institute for the Environment, University of North Carolina at Chapel Hill, 100 Europa Drive, Suite 490, Chapel Hill, NC 27517, USA
    These authors contributed equally to this work.)

  • Neil Davis

    (Institute for the Environment, University of North Carolina at Chapel Hill, 100 Europa Drive, Suite 490, Chapel Hill, NC 27517, USA
    These authors contributed equally to this work.)

  • Rich Cook

    (Office of Transportation and Air Quality, U.S. Environmental Protection Agency, 2000 Traverwood Drive, Ann Arbor, MI 48105, USA
    These authors contributed equally to this work.)

  • Adel Hanna

    (Institute for the Environment, University of North Carolina at Chapel Hill, 100 Europa Drive, Suite 490, Chapel Hill, NC 27517, USA
    These authors contributed equally to this work.)

Abstract

This work describes a methodology for modeling the impact of traffic-generated air pollutants in an urban area. This methodology presented here utilizes road network geometry, traffic volume, temporal allocation factors, fleet mixes, and emission factors to provide critical modeling inputs. These inputs, assembled from a variety of sources, are combined with meteorological inputs to generate link-based emissions for use in dispersion modeling to estimate pollutant concentration levels due to traffic. A case study implementing this methodology for a large health study is presented, including a sensitivity analysis of the modeling results reinforcing the importance of model inputs and identify those having greater relative impact, such as fleet mix. In addition, an example use of local measurements of fleet activity to supplement model inputs is described, and its impacts to the model outputs are discussed. We conclude that with detailed model inputs supported by local traffic measurements and meteorology, it is possible to capture the spatial and temporal patterns needed to accurately estimate exposure from traffic-related pollutants.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:12:p:12739-12766:d:43289
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    References listed on IDEAS

    as
    1. Saravanan Arunachalam & Alejandro Valencia & Yasuyuki Akita & Marc L. Serre & Mohammad Omary & Valerie Garcia & Vlad Isakov, 2014. "A Method for Estimating Urban Background Concentrations in Support of Hybrid Air Pollution Modeling for Environmental Health Studies," IJERPH, MDPI, vol. 11(10), pages 1-19, October.
    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. Steven G. Brown & Bryan Penfold & Anondo Mukherjee & Karin Landsberg & Douglas S. Eisinger, 2019. "Conditions Leading to Elevated PM 2.5 at Near-Road Monitoring Sites: Case Studies in Denver and Indianapolis," IJERPH, MDPI, vol. 16(9), pages 1-20, May.
    2. Carolina Correia & Vânia Martins & Bernardo Matroca & Pedro Santana & Pedro Mariano & Alexandre Almeida & Susana Marta Almeida, 2023. "A Low-Cost Sensor System Installed in Buses to Monitor Air Quality in Cities," IJERPH, MDPI, vol. 20(5), pages 1-16, February.
    3. 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.
    4. Shih Ying Chang & William Vizuete & Michael Breen & Vlad Isakov & Saravanan Arunachalam, 2015. "Comparison of Highly Resolved Model-Based Exposure Metrics for Traffic-Related Air Pollutants to Support Environmental Health Studies," IJERPH, MDPI, vol. 12(12), pages 1-21, December.

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