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Evaluating a multipollutant metric for use in characterizing traffic-related air pollution exposures within near-road environments.
Moutinho, Jennifer L; Liang, Donghai; Golan, Rachel; Ebelt, Stefanie T; Weber, Rodney; Sarnat, Jeremy A; Russell, Armistead G.
Afiliación
  • Moutinho JL; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, USA.
  • Liang D; Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA. Electronic address: donghai.liang@emory.edu.
  • Golan R; Department of Public Health, Ben-Gurion University of the Negev, Beer Sheva, Israel.
  • Ebelt ST; Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA.
  • Weber R; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, USA.
  • Sarnat JA; Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA.
  • Russell AG; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, USA.
Environ Res ; 184: 109389, 2020 05.
Article en En | MEDLINE | ID: mdl-32209498
Accurately characterizing human exposures to traffic-related air pollutants (TRAPs) is critical to public health protection. However, quantifying exposure to this single source is challenging, given its extremely heterogeneous chemical composition. Efforts using single-species tracers of TRAP are, thus, lacking in their ability to accurately reflect exposures to this complex mixture. There have been recent discussions centered on adopting a multipollutant perspective for sources with many emitted pollutants to maximize the benefits of control expenditures as well as to minimize population and ecosystem exposure. As part of a larger study aimed to assess a complete emission-to-exposure pathway of primary traffic pollution and understand exposure of individuals in the near-road environment, an intensive field campaign measured TRAPs and related data (e.g., meteorology, traffic counts, and regional air pollutant levels) in Atlanta along one of the busiest highway corridors in the US. Given the dynamic nature of the near-road environment, a multipollutant exposure metric, the Integrated Mobile Source Indicator (IMSI), which was generated based on emissions-based ratios, was calculated and compared to traditional single-species methods for assessing exposure to mobile source emissions. The current analysis examined how both traditional and non-traditional metrics vary spatially and temporally in the near-road environment, how they compare with each other, and whether they have the potential to offer more accurate means of assigning exposures to primary traffic emissions. The results indicate that compared to the traditional single pollutant specie, the multipollutant IMSI metric provided a more spatially stable method for assessing exposure, though variations occurred based on location with varying results among the six sites within a kilometer of the highway.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire / Contaminación por Tráfico Vehicular Límite: Humans Idioma: En Revista: Environ Res Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire / Contaminación por Tráfico Vehicular Límite: Humans Idioma: En Revista: Environ Res Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos