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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 Hoek, Gerard Wang, Meng Eeftens, Marloes Cyrys, Josef Keuken, Menno Ampe, Christophe Beelen, Rob Cesaroni, Giulia Forastiere, Francesco
Jedynska, Aleksandra
Hoek, Gerard
Wang, Meng
Eeftens, Marloes
Cyrys, Josef
Keuken, Menno
Ampe, Christophe
Beelen, Rob
Cesaroni, Giulia
Forastiere, Francesco
Author
Jedynska, Aleksandra
Hoek, Gerard
Wang, Meng
Eeftens, Marloes
Cyrys, Josef
Keuken, Menno
Ampe, Christophe
Beelen, Rob
Cesaroni, Giulia
Forastiere, Francesco
Cirach, Marta
de Hoogh, Kees
De Nazelle, Audrey
Nystad, Wenche
Declercq, Christophe
Eriksen, Kirsten Thorup
Dimakopoulou, Konstantina
Lanki, Timo
Meliefste, Kees
Nieuwenhuijsen, Mark J.
Yli-Tuomi, Tarja
Raaschou-Nielsen, Ole
Brunekreef, Bert
Kooter, Ingeborg M.
Hoek, Gerard
Wang, Meng
Eeftens, Marloes
Cyrys, Josef
Keuken, Menno
Ampe, Christophe
Beelen, Rob
Cesaroni, Giulia
Forastiere, Francesco
Cirach, Marta
de Hoogh, Kees
De Nazelle, Audrey
Nystad, Wenche
Declercq, Christophe
Eriksen, Kirsten Thorup
Dimakopoulou, Konstantina
Lanki, Timo
Meliefste, Kees
Nieuwenhuijsen, Mark J.
Yli-Tuomi, Tarja
Raaschou-Nielsen, Ole
Brunekreef, Bert
Kooter, Ingeborg M.
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.
Keywords
Date
2014
Type
Journal article
Journal
Environmental Science and Technology
Book
Volume
48
Issue
24
Page Range
14435-14444
Article Number
ACU Department
Mary MacKillop Institute for Health Research
Faculty of Health Sciences
Faculty of Health Sciences
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Source URL
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Open Access Status
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File Access
Controlled