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Hotspots of black carbon and PM2.5 in an urban area and relationships to traffic characteristics.
Targino, Admir Créso; Gibson, Mark David; Krecl, Patricia; Rodrigues, Marcos Vinicius Costa; Dos Santos, Maurício Moreira; de Paula Corrêa, Marcelo.
Afiliação
  • Targino AC; Graduate Program in Environmental Engineering, Federal University of Technology, Av. Pioneiros 3131, 86036-370, Londrina, PR, Brazil. Electronic address: admirtargino@utfpr.edu.br.
  • Gibson MD; Department of Civil and Resource Engineering, Dalhousie University, 1360 Barrington Street, Halifax, Nova Scotia, B3H 4R2, Canada.
  • Krecl P; Graduate Program in Environmental Engineering, Federal University of Technology, Av. Pioneiros 3131, 86036-370, Londrina, PR, Brazil.
  • Rodrigues MVC; Department of Environmental Engineering, Federal University of Technology, Av. Pioneiros 3131, 86036-370, Londrina, PR, Brazil.
  • Dos Santos MM; Department of Environmental Engineering, Federal University of Technology, Av. Pioneiros 3131, 86036-370, Londrina, PR, Brazil.
  • de Paula Corrêa M; Natural Resources Department, Federal University of Itajubá, Av. BPS 1303, 37500-903, Itajubá, MG, Brazil.
Environ Pollut ; 218: 475-486, 2016 Nov.
Article em En | MEDLINE | ID: mdl-27475962
Three instrumented bicycles were used to measure black carbon (BC) and PM2.5 concentrations in a midsized city in southern Brazil. The objective of this study was to map the spatial distribution of BC and PM2.5, to identify air pollution hotspots and to assess factors that may affect the concentrations of these pollutants, e.g. traffic volume, number of heavy-duty diesel vehicles (HDDV), position of traffic signals and street incline. The cyclists collected data in the city centre along streets of different traffic density during nine sampling sessions in the weekday morning and afternoon rush hours, between March 13 and April 28, 2015. The sampling by bicycle covered an area of 2.70 km2, over variable elevation, and travelled a total distance of 215 km. BC and PM2.5 exhibited a large spatial variability on a scale of tens of metres and the concentrations were positively correlated with traffic counts, but exhibited a stronger relationship with the number of HDDV. These results imply that older buses and diesel-powered trucks may be the main driver behind the high pollution levels in the city's inner core. We observed a strong relationship between BC concentrations at junctions managed by traffic signals and the quantity of HDDV. The mean BC concentration was found to be 8.10 µg m-3 near traffic signals located on an inclined street (HDDV > 100 vehicles h-1) compared to traffic signals on flat terrain (6.00 µg m-3), which can be attributed to the higher acceleration required at the start of motion. This pattern was less evident for PM2.5 concentrations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Emissões de Veículos / Poluentes Atmosféricos / Material Particulado / Fuligem Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Revista: Environ Pollut Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2016 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Emissões de Veículos / Poluentes Atmosféricos / Material Particulado / Fuligem Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Revista: Environ Pollut Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2016 Tipo de documento: Article País de publicação: Reino Unido