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Use of passive diffusion sampling method for defining NO(2 )concentrations gradient in São Paulo, Brazil

BACKGROUND: Air pollution in São Paulo is constantly being measured by the State of Sao Paulo Environmental Agency, however there is no information on the variation between places with different traffic densities. This study was intended to identify a gradient of exposure to traffic-related air poll...

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Detalles Bibliográficos
Autores principales: da Silva, Agnes Soares, Cardoso, Maria Regina, Meliefste, Kees, Brunekreef, Bert
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550389/
https://www.ncbi.nlm.nih.gov/pubmed/16772044
http://dx.doi.org/10.1186/1476-069X-5-19
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author da Silva, Agnes Soares
Cardoso, Maria Regina
Meliefste, Kees
Brunekreef, Bert
author_facet da Silva, Agnes Soares
Cardoso, Maria Regina
Meliefste, Kees
Brunekreef, Bert
author_sort da Silva, Agnes Soares
collection PubMed
description BACKGROUND: Air pollution in São Paulo is constantly being measured by the State of Sao Paulo Environmental Agency, however there is no information on the variation between places with different traffic densities. This study was intended to identify a gradient of exposure to traffic-related air pollution within different areas in São Paulo to provide information for future epidemiological studies. METHODS: We measured NO(2 )using Palmes' diffusion tubes in 36 sites on streets chosen to be representative of different road types and traffic densities in São Paulo in two one-week periods (July and August 2000). In each study period, two tubes were installed in each site, and two additional tubes were installed in 10 control sites. RESULTS: Average NO(2 )concentrations were related to traffic density, observed on the spot, to number of vehicles counted, and to traffic density strata defined by the city Traffic Engineering Company (CET). Average NO(2)concentrations were 63μg/m(3 )and 49μg/m(3 )in the first and second periods, respectively. Dividing the sites by the observed traffic density, we found: heavy traffic (n = 17): 64μg/m(3 )(95% CI: 59μg/m(3 )– 68μg/m(3)); local traffic (n = 16): 48μg/m(3 )(95% CI: 44μg/m(3 )– 52μg/m(3)) (p < 0.001). CONCLUSION: The differences in NO(2 )levels between heavy and local traffic sites are large enough to suggest the use of a more refined classification of exposure in epidemiological studies in the city. Number of vehicles counted, traffic density observed on the spot and traffic density strata defined by the CET might be used as a proxy for traffic exposure in São Paulo when more accurate measurements are not available.
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spelling pubmed-15503892006-08-18 Use of passive diffusion sampling method for defining NO(2 )concentrations gradient in São Paulo, Brazil da Silva, Agnes Soares Cardoso, Maria Regina Meliefste, Kees Brunekreef, Bert Environ Health Research BACKGROUND: Air pollution in São Paulo is constantly being measured by the State of Sao Paulo Environmental Agency, however there is no information on the variation between places with different traffic densities. This study was intended to identify a gradient of exposure to traffic-related air pollution within different areas in São Paulo to provide information for future epidemiological studies. METHODS: We measured NO(2 )using Palmes' diffusion tubes in 36 sites on streets chosen to be representative of different road types and traffic densities in São Paulo in two one-week periods (July and August 2000). In each study period, two tubes were installed in each site, and two additional tubes were installed in 10 control sites. RESULTS: Average NO(2 )concentrations were related to traffic density, observed on the spot, to number of vehicles counted, and to traffic density strata defined by the city Traffic Engineering Company (CET). Average NO(2)concentrations were 63μg/m(3 )and 49μg/m(3 )in the first and second periods, respectively. Dividing the sites by the observed traffic density, we found: heavy traffic (n = 17): 64μg/m(3 )(95% CI: 59μg/m(3 )– 68μg/m(3)); local traffic (n = 16): 48μg/m(3 )(95% CI: 44μg/m(3 )– 52μg/m(3)) (p < 0.001). CONCLUSION: The differences in NO(2 )levels between heavy and local traffic sites are large enough to suggest the use of a more refined classification of exposure in epidemiological studies in the city. Number of vehicles counted, traffic density observed on the spot and traffic density strata defined by the CET might be used as a proxy for traffic exposure in São Paulo when more accurate measurements are not available. BioMed Central 2006-06-13 /pmc/articles/PMC1550389/ /pubmed/16772044 http://dx.doi.org/10.1186/1476-069X-5-19 Text en Copyright © 2006 da Silva et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
da Silva, Agnes Soares
Cardoso, Maria Regina
Meliefste, Kees
Brunekreef, Bert
Use of passive diffusion sampling method for defining NO(2 )concentrations gradient in São Paulo, Brazil
title Use of passive diffusion sampling method for defining NO(2 )concentrations gradient in São Paulo, Brazil
title_full Use of passive diffusion sampling method for defining NO(2 )concentrations gradient in São Paulo, Brazil
title_fullStr Use of passive diffusion sampling method for defining NO(2 )concentrations gradient in São Paulo, Brazil
title_full_unstemmed Use of passive diffusion sampling method for defining NO(2 )concentrations gradient in São Paulo, Brazil
title_short Use of passive diffusion sampling method for defining NO(2 )concentrations gradient in São Paulo, Brazil
title_sort use of passive diffusion sampling method for defining no(2 )concentrations gradient in são paulo, brazil
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1550389/
https://www.ncbi.nlm.nih.gov/pubmed/16772044
http://dx.doi.org/10.1186/1476-069X-5-19
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