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Development of land use regression models for elemental, organic carbon, PAH, and hopanes/steranes in 10 ESCAPE/TRANSPHORM European study areas

Jedynska, Aleksandra and Hoek, Gerard and Wang, Meng and Eeftens, Marloes and Cyrys, Josef and Keuken, Menno and Ampe, Christophe and Beelen, Rob and Cesaroni, Giulia and Forastiere, Francesco and Cirach, Marta and de Hoogh, Kees and De Nazelle, Audrey and Nystad, Wenche and Declercq, Christophe and Eriksen, Kirsten T. and Dimakopoulou, Konstantina and Lanki, Timo and Meliefste, Kees and Nieuwenhuijsen, Mark J. and Yli-Tuomi, Tarja and Raaschou-Nielsen, Ole and Brunekreef, Bert and Kooter, Ingeborg M.. (2014) Development of land use regression models for elemental, organic carbon, PAH, and hopanes/steranes in 10 ESCAPE/TRANSPHORM European study areas. Environmental science and technology, Vol. 48, H. 24. pp. 14435-14444.

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Official URL: http://edoc.unibas.ch/dok/A6337699

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Abstract

Land use regression (LUR) models have been used to model concentrations of mainly traffic-related air pollutants (nitrogen oxides (NOx), particulate matter (PM) mass or absorbance). Few LUR models are published of PM composition, whereas the interest in health effects related to particle composition is increasing. The aim of our study was to evaluate LUR models of polycyclic aromatic hydrocarbons (PAH), hopanes/steranes, and elemental and organic carbon (EC/OC) content of PM2.5. In 10 European study areas, PAH, hopanes/steranes, and EC/OC concentrations were measured at 16-40 sites per study area. LUR models for each study area were developed on the basis of annual average concentrations and predictor variables including traffic, population, industry, natural land obtained from geographic information systems. The highest median model explained variance (R(2)) was found for EC - 84%. The median R(2) was 51% for OC, 67% for benzo[a]pyrene, and 38% for sum of hopanes/steranes, with large variability between study areas. Traffic predictors were included in most models. Population and natural land were included frequently as additional predictors. The moderate to high explained variance of LUR models and the overall moderate correlation with PM2.5 model predictions support the application of especially the OC and PAH models in epidemiological studies.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Former Units within Swiss TPH > Exposure Science (Tsai)
UniBasel Contributors:Eeftens, Marloes and de Hoogh, Kees
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:American Chemical Soc.
ISSN:0013-936X
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:06 Feb 2015 09:59
Deposited On:06 Feb 2015 09:59

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