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Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada.

Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada. Research Abstract Details 

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  • Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada. Abstract Text:

    m jerrettM Jerrett,m a arainM A Arain,p kanaroglouP Kanaroglou,b beckermanB Beckerman,d crouseD Crouse,n l gilbertN L Gilbert,j r brookJ R Brook,n finkelsteinN Finkelstein,m m finkelsteinM M Finkelstein,

    The objective of this paper is to model determinants of intraurban variation in ambient concentrations of nitrogen dioxide (NO2) in Toronto, Canada, with a land use regression (LUR) model. Although researchers have conducted similar studies in Europe, this work represents the first attempt in a North American setting to characterize variation in traffic pollution through the LUR method. NO2 samples were collected over 2 wk using duplicate two-sided Ogawa passive diffusion samplers at 95 locations across Toronto. Independent variables employed in subsequent regression models as predictors of NO2 were derived by the Arc 8 geographic information system (GIS). Some 85 indicators of land use, traffic, population density, and physical geography were tested. The final regression model yielded a coefficient of determination (R2) of .69. For the traffic variables, density of 24-h traffic counts and road measures display positive associations. For the land use variables, industrial land use and counts of dwellings within 2000 m of the monitoring location were positively associated with NO2. Locations up to 1500 m downwind of major expressways had elevated NO2 levels. The results suggest that a good predictive surface can be derived for North American cities with the LUR method. The predictive maps from the LUR appear to capture small-area variation in NO2 concentrations. These small-area variations in traffic pollution are probably important to the exposure experience of the population and may detect health effects that would have gone unnoticed with other exposure estimates.

    Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada. Publishing Authors By Initials

    m jerrettM Jerrett,ma arainMA Arain,p kanaroglouP Kanaroglou,b beckermanB Beckerman,d crouseD Crouse,nl gilbertNL Gilbert,jr brookJR Brook,n finkelsteinN Finkelstein,mm finkelsteinMM Finkelstein,

    For similar investigative techniques: epidemiologic methods: epidemiologic research design: reproducibility of results research abstracts see: investigative techniques: epidemiologic methods: epidemiologic research design: reproducibility of results research

    PUBMED ID PMID:

    MEDLINE DATE:

    Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada. Journal Published:

    PUBLICATION TYPE: Research Support, U.S. Gov't,

    Journal: Journal of toxicology and environmental health. Pa

    VOLUME: 70

    Page Numbers: 200-12

    Journal Abbreviation: J. Toxicol. Environ. Health Pa

    ISSN: 1528-7394

    DAY: 1

    MONTH: Feb

    YEAR: 2007

    Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 100960995

    Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada. Keywords Mesh Terms:

    KEYWORDS: Reproducibility of Results

    MESH TERMS: analysis

    Chemical & Substance for Abstract: Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada. Information

    Substance Name: Nitrogen Dioxide

    Registry Number: 10102-44-0

    Grant and Affiliation Information for Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada.

    AFFILIATION: Division of Environmental Health Sciences School of Public Health, University of California-Berkeley, Berkeley, California 94720-7360, USA. jerrett@berkeley.edu

    Country: England

    England Research PublicationEngland Research Publication

    AGENCY: United States NIEHS

    GRANT: 5P30 ES07048

    ACRONYM: ES

    MEDLINETA: J Toxicol Environ Health A

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