Print Email Facebook Twitter Development of land use regression models for elemental, organic carbon, PAH, and hopanes/steranes in 10 ESCAPE/TRANSPHORM European study areas Title Development of land use regression models for elemental, organic carbon, PAH, and hopanes/steranes in 10 ESCAPE/TRANSPHORM European study areas Author Jedynska, A. Hoek, G. Wang, M. Eeftens, M. Cyrys, J. Keuken, M. Ampe, C. Beelen, R. Cesaroni, G. Forastiere, F. Cirach, M. de Hoogh, K. de Nazelle, A. Nystad, W. Declercq, C. Eriksen, K.T. Dimakopoulou, K. Lanki, T. Meliefste, K. Nieuwenhuijsen, M.J. Yli-Tuomi, T. Raaschou-Nielsen, O. Brunekreef, B. Kooter, I.M. Publication year 2014 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 (R2) was found for EC - 84%. The median R2 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. Subject Earth & EnvironmentAEC - Applied Environmental Chemistry UES - Urban Environment & SafetyELSS - Earth, Life and Social SciencesUrban DevelopmentEnvironmentBuilt EnvironmentCarbonGeographic information systemsNitrogen oxidesRegression analysisElemental and organic carbonsEpidemiological studiesLand use regressionParticle compositionPolycyclic aromatic hydrocarbon (PAH)Atmospheric pollutionGISPAHParticulate matterTraffic emissionPollutantEurope To reference this document use: http://resolver.tudelft.nl/uuid:054a497c-2cc6-4068-9b79-a71f3ba7d3ac DOI https://doi.org/10.1021/es502568z TNO identifier 521619 Publisher American Chemical Society ISSN 0013-936X Source Environmental Science and Technology, 48 (24), 14435-14444 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.