Characterizing the spatial distribution of ambient ultrafine particles in Toronto, Canada: A land use regression model.
Environ Pollut
; 208(Pt A): 241-248, 2016 Jan.
Article
em En
| MEDLINE
| ID: mdl-25935348
ABSTRACT
Exposure models are needed to evaluate the chronic health effects of ambient ultrafine particles (<0.1 µm) (UFPs). We developed a land use regression model for ambient UFPs in Toronto, Canada using mobile monitoring data collected during summer/winter 2010-2011. In total, 405 road segments were included in the analysis. The final model explained 67% of the spatial variation in mean UFPs and included terms for the logarithm of distances to highways, major roads, the central business district, Pearson airport, and bus routes as well as variables for the number of on-street trees, parks, open space, and the length of bus routes within a 100 m buffer. There was no systematic difference between measured and predicted values when the model was evaluated in an external dataset, although the R(2) value decreased (R(2) = 50%). This model will be used to evaluate the chronic health effects of UFPs using population-based cohorts in the Toronto area.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Monitoramento Ambiental
/
Poluentes Atmosféricos
/
Poluição do Ar
/
Material Particulado
Tipo de estudo:
Prognostic_studies
Limite:
Humans
País/Região como assunto:
America do norte
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article