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Air Quality Modeling in Support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS)

Author

Listed:
  • Vlad Isakov

    (National Exposure Research Laboratory, United States Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711 USA)

  • Saravanan Arunachalam

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

  • Stuart Batterman

    (Department of Environmental Health Sciences, School of Public Health, University of Michigan, Room 6075 SPH2, 1420 Washington Heights, Ann Arbor, MI 48109-2029 USA)

  • Sarah Bereznicki

    (National Exposure Research Laboratory, United States Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711 USA)

  • Janet Burke

    (National Exposure Research Laboratory, United States Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711 USA)

  • Kathie Dionisio

    (National Exposure Research Laboratory, United States Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711 USA)

  • Val Garcia

    (National Exposure Research Laboratory, United States Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711 USA)

  • David Heist

    (National Exposure Research Laboratory, United States Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711 USA)

  • Steve Perry

    (National Exposure Research Laboratory, United States Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711 USA)

  • Michelle Snyder

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

  • Alan Vette

    (National Exposure Research Laboratory, United States Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711 USA)

Abstract

A major challenge in traffic-related air pollution exposure studies is the lack of information regarding pollutant exposure characterization. Air quality modeling can provide spatially and temporally varying exposure estimates for examining relationships between traffic-related air pollutants and adverse health outcomes. A hybrid air quality modeling approach was used to estimate exposure to traffic-related air pollutants in support of the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS) conducted in Detroit (Michigan, USA). Model-based exposure metrics, associated with local variations of emissions and meteorology, were estimated using a combination of the American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) and Research LINE-source dispersion model for near-surface releases (RLINE) dispersion models, local emission source information from the National Emissions Inventory, detailed road network locations and traffic activity, and meteorological data from the Detroit City Airport. The regional background contribution was estimated using a combination of the Community Multi-scale Air Quality (CMAQ) and the Space-Time Ordinary Kriging (STOK) models. To capture the near-road pollutant gradients, refined “mini-grids” of model receptors were placed around participant homes. Exposure metrics for CO, NO x , PM 2.5 and its components (elemental and organic carbon) were predicted at each home location for multiple time periods including daily and rush hours. The exposure metrics were evaluated for their ability to characterize the spatial and temporal variations of multiple ambient air pollutants compared to measurements across the study area.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:9:p:8777-8793:d:39651
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    Citations

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    Cited by:

    1. 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.
    2. Shi V. Liu & Fu-Lin Chen & Jianping Xue, 2017. "Evaluation of Traffic Density Parameters as an Indicator of Vehicle Emission-Related Near-Road Air Pollution: A Case Study with NEXUS Measurement Data on Black Carbon," IJERPH, MDPI, vol. 14(12), pages 1-11, December.
    3. 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.
    4. Yoo Min Park & Mei-Po Kwan, 2020. "Understanding Racial Disparities in Exposure to Traffic-Related Air Pollution: Considering the Spatiotemporal Dynamics of Population Distribution," IJERPH, MDPI, vol. 17(3), pages 1-14, February.
    5. 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.
    6. 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.
    7. 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.
    8. Bahare Moradi & Rojin Akbari & Seyedeh Reyhaneh Taghavi & Farnaz Fardad & Abdulsalam Esmailzadeh & Mohammad Zia Ahmadi & Sina Attarroshan & Fatemeh Nickravesh & Jamal Jokar Arsanjani & Mehdi Amirkhani, 2023. "A Scenario-Based Spatial Multi-Criteria Decision-Making System for Urban Environment Quality Assessment: Case Study of Tehran," Land, MDPI, vol. 12(9), pages 1-24, August.

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