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Assessment of Traffic-Related Air Pollution: Case Study of Pregnant Women in South Texas

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  • Mohammad Hashem Askariyeh

    (Environment and Air Quality Division, Texas A&M Transportation Institute, 1111 RELLIS Parkway, Suite 3401, Bryan, TX 77807, USA
    Zachry Department of Civil and Environmental Engineering, Texas A&M University, 201 Dwight Look Engineering Building, College Station, TX 77843, USA)

  • Suriya Vallamsundar

    (Center for Advancing Research in Transportation Emissions, Energy and Health, Texas A&M Transportation Institute, 12700 Park Central Dr, Suite 1000, Dallas TX 75251, USA)

  • Josias Zietsman

    (Center for Advancing Research in Transportation Emissions, Energy and Health, Texas A&M Transportation Institute, 1111 RELLIS Parkway, Suite 3401, Bryan, TX 77807, USA)

  • Tara Ramani

    (Center for Advancing Research in Transportation Emissions, Energy and Health, Texas A&M Transportation Institute, 1111 RELLIS Parkway, Suite 3401, Bryan, TX 77807, USA)

Abstract

Population groups vulnerable to adverse effects of traffic-related air pollution correspond to children, pregnant women and elderly. Despite these effects, literature is limited in terms of studies focusing on these groups and a reason often cited is the limited information on their mobility important for exposure assessment. The current study presents a method for assessing individual-level exposure to traffic-related air pollution by integrating mobility patterns tracked by global positioning system (GPS) devices with dynamics of air pollutant concentrations. The study is based on a pool of 17 pregnant women residing in Hidalgo County, Texas. The traffic-related particulate matter with diameter of less than 2.5 micrometer (PM 2.5 ) emissions and air pollutant concentrations are predicted using MOVES and AERMOD models, respectively. The daily average traffic-related PM 2.5 concentration was found to be 0.32 µg/m 3 , with the highest concentration observed in transit (0.56 µg/m 3 ), followed by indoors (0.29 µg/m 3 ), and outdoor (0.26 µg/m 3 ) microenvironment. The obtained exposure levels exhibited considerable variation between time periods, with higher levels during peak commuting periods, close to the US–Mexico border region and lower levels observed during midday periods. The study also assessed if there is any difference between traffic-related dynamic exposure, based on time-varying mobility patterns, and static exposure, based solely on residential locations, and found a difference of 9%, which could be attributed to the participants’ activity patterns being focused mostly indoors.

Suggested Citation

  • Mohammad Hashem Askariyeh & Suriya Vallamsundar & Josias Zietsman & Tara Ramani, 2019. "Assessment of Traffic-Related Air Pollution: Case Study of Pregnant Women in South Texas," IJERPH, MDPI, vol. 16(13), pages 1-19, July.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:13:p:2433-:d:246728
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    References listed on IDEAS

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    1. Louis de Mesnard, 2013. "Pollution models and inverse distance weighting: some critical remarks," Post-Print hal-00778417, HAL.
    2. Lixin Li & Xiaolu Zhou & Marc Kalo & Reinhard Piltner, 2016. "Spatiotemporal Interpolation Methods for the Application of Estimating Population Exposure to Fine Particulate Matter in the Contiguous U.S. and a Real-Time Web Application," IJERPH, MDPI, vol. 13(8), pages 1-20, July.
    3. Marianne Hatzopoulou & Jiang Hao & Eric Miller, 2011. "Simulating the impacts of household travel on greenhouse gas emissions, urban air quality, and population exposure," Transportation, Springer, vol. 38(6), pages 871-887, November.
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    Cited by:

    1. Mohammad Hashem Askariyeh & Madhusudhan Venugopal & Haneen Khreis & Andrew Birt & Josias Zietsman, 2020. "Near-Road Traffic-Related Air Pollution: Resuspended PM 2.5 from Highways and Arterials," IJERPH, MDPI, vol. 17(8), pages 1-11, April.

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