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A meta-analysis of selected near-road air pollutants based on concentration decay rates.
Liu, Shi V; Chen, Fu-Lin; Xue, Jianping.
Afiliação
  • Liu SV; National Exposure Research Laboratory, Office of Research and Development, U. S. Environmental Protection Agency, RTP, NC, 27711, USA.
  • Chen FL; National Exposure Research Laboratory, Office of Research and Development, U. S. Environmental Protection Agency, RTP, NC, 27711, USA.
  • Xue J; National Exposure Research Laboratory, Office of Research and Development, U. S. Environmental Protection Agency, RTP, NC, 27711, USA.
Heliyon ; 5(8): e02236, 2019 Aug.
Article em En | MEDLINE | ID: mdl-31485506
Traffic-related air pollution has been associated with various health risks for human populations living near roadways. Understanding the relationship between traffic density and dispersion of vehicle-released air pollutants is important for assessing human exposure to near-road air pollutants. We performed a literature survey targeting publications containing measurement data of traffic-related air pollutants near roads with distance information on their concentration distribution. Concentration decay rates over down-wind distance away from major roads were calculated for black carbon (BC), carbon monoxide (CO) and nitrogen oxides (NO2 or NOx) and meta-data analysis on these rates was performed. These analyses showed metadata-based exponential decay rates of 0.0026, 0.0019, 0.0004, and 0.0027 m-1 for BC, CO, NO2 and NOx, respectively. Using these measurement data-based decay rates, concentrations for BC, CO, NO2 and NOx over various near-road distances were predicted. These results are useful for enhancing exposure modeling and thus more reliably assessing the health risk of exposure to near road air pollution.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Heliyon Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Heliyon Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos