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Traffic and Meteorological Impacts on Near-Road Air Quality: Summary of Methods and Trends from the Raleigh Near-Road Study
Open accessAbstract
A growing number of epidemiological studies conducted worldwide suggest an increase in the occurrence of adverse health effects in populations living, working, or going to school near major roadways. A study was designed to assess traffic emissions impacts on air quality and particle toxicity near a heavily traveled highway. In an attempt to describe the complex mixture of pollutants and atmospheric transport mechanisms affecting pollutant dispersion in this near-highway environment, several real-time and time-integrated sampling devices measured air quality concentrations at multiple distances and heights from the road. Pollutants analyzed included U.S. Environmental Protection Agency (EPA)-regulated gases, particulate matter (coarse, fine, and ultrafine), and air toxics. Pollutant measurements were synchronized with real-time traffic and meteorological monitoring devices to provide continuous and integrated assessments of the variation of near-road air pollutant concentrations and particle toxicity with changing traffic and environmental conditions, as well as distance from the road. Measurement results demonstrated the temporal and spatial impact of traffic emissions on near-road air quality. The distribution of mobile source emitted gas and particulate pollutants under all wind and traffic conditions indicated a higher proportion of elevated concentrations near the road, suggesting elevated exposures for populations spending significant amounts of time in this microenvironment. Diurnal variations in pollutant concentrations also demonstrated the impact of traffic activity and meteorology on near-road air quality. Time-resolved measurements of multiple pollutants demonstrated that traffic emissions produced a complex mixture of criteria and air toxic pollutants in this microenvironment. These results provide a foundation for future assessments of these data to identify the relationship of traffic activity and meteorology on air quality concentrations and population exposures.
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Cites
Spatial analysis of air pollution and mortality in Los Angeles
Jerrett, M., Burnett, R. T., Ma, R., Pope, C. A., Krewski, D., Newbold, K. B., Thurston, G., Shi, Y., Finkelstein, N., Calle, E. E., et al. (2005) · Epidemiology · doi:10.1097/01.ede.0000181630.15826.7d · Cited by 985
Cited by
The Molecular Identification of Organic Compounds in the Atmosphere: State of the Art and Challenges
Nozière, B., Kalberer, M., Claeys, M., Allan, J., D’Anna, B., Decesari, S., Finessi, E., Glasius, M., Grgić, I., Hamilton, J. F., et al. (2015) · Chemical Reviews · doi:10.1021/cr5003485 · Cited by 656
Metadata
- Authors
- Baldauf, R., Thoma, E., Hays, M., Shores, R., Kinsey, J., Gullett, B., Kimbrough, S., Isakov, V., Long, T., Snow, R., Khlystov, A., Weinstein, J., Chen, F.-L., Seila, R., Olson, D., Gilmour, I., Cho, S.-H., Watkins, N., Rowley, P., & Bang, J.
- Venue
- Journal of the Air & Waste Management Association
- Publisher
- Informa UK Limited
- Published
- 2008-07
- Volume
- 58
- Issue
- 7
- Pages
- 865-878
- ISSN
- 1047-3289 (ISSN-L)
- 1096-2247
- 2162-2906
- OpenAlex
- W2137570441
- Cited by
- 166
- References
- 1
- FWCI
- 6.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Baldauf, R., Thoma, E., Hays, M., Shores, R., Kinsey, J., Gullett, B., Kimbrough, S., Isakov, V., Long, T., Snow, R., Khlystov, A., Weinstein, J., Chen, F.-L., Seila, R., Olson, D., Gilmour, I., Cho, S.-H., Watkins, N., Rowley, P., & Bang, J. (2008). Traffic and Meteorological Impacts on Near-Road Air Quality: Summary of Methods and Trends from the Raleigh Near-Road Study. Journal of the Air & Waste Management Association. https://doi.org/10.3155/1047-3289.58.7.865
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.