IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i9p1634-d229897.html
   My bibliography  Save this article

Conditions Leading to Elevated PM 2.5 at Near-Road Monitoring Sites: Case Studies in Denver and Indianapolis

Author

Listed:
  • Steven G. Brown

    (Sonoma Technology, Inc., Petaluma, CA 94954, USA)

  • Bryan Penfold

    (Sonoma Technology, Inc., Petaluma, CA 94954, USA)

  • Anondo Mukherjee

    (Sonoma Technology, Inc., Petaluma, CA 94954, USA)

  • Karin Landsberg

    (Washington State Department of Transportation, Olympia, WA 98504, USA)

  • Douglas S. Eisinger

    (Sonoma Technology, Inc., Petaluma, CA 94954, USA)

Abstract

We examined two near-road monitoring sites where the daily PM 2.5 readings were among the highest of any near-road monitoring location in the U.S. during 2014–2016: Denver, Colorado, in February 2014 and Indianapolis, Indiana, in November 2016. At the Denver site, which had the highest measured U.S. near-road 24-hr PM 2.5 concentrations in 2014, concentrations exceeded the daily National Ambient Air Quality Standards (NAAQS) on three days during one week in 2014; the Indianapolis site had the second-highest number of daily exceedances of any near-road site in 2016 and the highest 3-year average PM 2.5 of any near-road site during 2014–2016. Both sites had hourly pollutant, meteorological, and traffic data available, making them ideal for case studies. For both locations, we compared air pollution observations at the near-road site to observations at other sites in the urban area to calculate the near-road PM 2.5 “increment” and evaluated the effects of changes in meteorology and traffic. The Denver near-road site consistently had the highest PM 2.5 values in the Denver area, and was typically highest when winds were near-downwind, rather than directly downwind, to the freeway. Complex Denver site conditions (near-road buildings and roadway alignment) likely contributed to higher PM 2.5 concentrations. The increment at Indianapolis was also highest under near-downwind, rather than directly downwind, conditions. At both sites, while the near-road site often had higher PM 2.5 concentrations than nearby sites, there was no clear correlation between traffic conditions (vehicle speed, fleet mix) and the high PM 2.5 concentrations.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1634-:d:229897
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/9/1634/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/9/1634/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1634-:d:229897. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.