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 & Environment
AEC - Applied Environmental Chemistry UES - Urban Environment & Safety
ELSS - Earth, Life and Social Sciences
Urban Development
Environment
Built Environment
Carbon
Geographic information systems
Nitrogen oxides
Regression analysis
Elemental and organic carbons
Epidemiological studies
Land use regression
Particle composition
Polycyclic aromatic hydrocarbon (PAH)
Atmospheric pollution
GIS
PAH
Particulate matter
Traffic emission
Pollutant
Europe
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