Development of a land-use regression model for ultrafine particles in Toronto, Canada
نویسندگان
چکیده
منابع مشابه
Land Use Regression Models for Ultrafine Particles in Six European Areas
Long-term ultrafine particle (UFP) exposure estimates at a fine spatial scale are needed for epidemiological studies. Land use regression (LUR) models were developed and evaluated for six European areas based on repeated 30 min monitoring following standardized protocols. In each area; Basel (Switzerland), Heraklion (Greece), Amsterdam, Maastricht, and Utrecht ("The Netherlands"), Norwich (Unit...
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15 صفحه اولLong-term exposure to ambient ultrafine particles and respiratory disease incidence in in Toronto, Canada: a cohort study
BACKGROUND Little is known about the long-term health effects of ambient ultrafine particles (<0.1 μm) (UFPs) including their association with respiratory disease incidence. In this study, we examined the relationship between long-term exposure to ambient UFPs and the incidence of lung cancer, adult-onset asthma, and chronic obstructive pulmonary disease (COPD). METHODS Our study cohort inclu...
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Land use regression (LUR) models have been globally used to estimate long-term air pollution exposures. The present study aimed to analyze the association of different land use types and traffic measures with air pollutants in Tehran, Iran, as part of the future development of LUR models. Data of the particulate matter (PM10), sulfur dioxide (SO2), and nitrogen dioxide (NO2) were extracted from...
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ژورنال
عنوان ژورنال: Atmospheric Environment
سال: 2015
ISSN: 1352-2310
DOI: 10.1016/j.atmosenv.2015.02.018