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Eeftens, M.* ; Beelen, R.* ; de Hoogh, K.* ; Bellander, T.* ; Cesaroni, G.* ; Cirach, M.* ; Declercq, C.* ; Dedele, A.* ; Dons, E.* ; de Nazelle, A.* ; Dimakopoulou, K.* ; Eriksen, K.* ; Falq, G.* ; Fischer, P.* ; Galassi, C.* ; Grazuleviciene, R.* ; Heinrich, J. ; Hoffmann, B.* ; Jerrett, M.* ; Keidel, D.* ; Korek, M.* ; Lanki, T.* ; Lindley, S.* ; Madsen, C.* ; Mölter, A.* ; Nádor, G.* ; Nieuwenhuijsen, M.* ; Nonnemacher, M.* ; Pedeli, X.* ; Raaschou-Nielsen, O.* ; Patelarou, E.* ; Quass, U.* ; Ranzi, A.* ; Schindler, C.* ; Stempfelet, M.* ; Stephanou, E.* ; Sugiri, D.* ; Tsai, M.Y.* ; Yli-Tuomi, T.* ; Varró, M.J.* ; Vienneau, D.* ; von Klot, S.* ; Wolf, K.* ; Brunekreef, B.* ; Hoek, G.*

Development of land use regression models for PM2.5, PM2.5 absorbance, PM10 and PMcoarse in 20 European study areas: Results of the ESCAPE project.

Environ. Sci. Technol. 46, 11195-11205 (2012)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollution concentrations and estimating individual exposure for participants of cohort studies. Within the ESCAPE project, concentrations of PM(2.5), PM(2.5) absorbance, PM(10), and PM(coarse) were measured in 20 European study areas at 20 sites per area. GIS-derived predictor variables (e.g., traffic intensity, population, and land-use) were evaluated to model spatial variation of annual average concentrations for each study area. The median model explained variance (R(2)) was 71% for PM(2.5) (range across study areas 35-94%). Model R(2) was higher for PM(2.5) absorbance (median 89%, range 56-97%) and lower for PM(coarse) (median 68%, range 32- 81%). Models included between two and five predictor variables, with various traffic indicators as the most common predictors. Lower R(2) was related to small concentration variability or limited availability of predictor variables, especially traffic intensity. Cross validation R(2) results were on average 8-11% lower than model R(2). Careful selection of monitoring sites, examination of influential observations and skewed variable distributions were essential for developing stable LUR models. The final LUR models are used to estimate air pollution concentrations at the home addresses of participants in the health studies involved in ESCAPE.
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Publication type Article: Journal article
Document type Scientific Article
Keywords AIR-POLLUTION CONCENTRATIONS; LONG-TERM EXPOSURE; PARTICULATE MATTER; NITROGEN-DIOXIDE; LUNG-CANCER; POLLUTANTS; MORTALITY; HEALTH; NO2; INFORMATION
Language english
Publication Year 2012
HGF-reported in Year 2012
ISSN (print) / ISBN 0013-936X
e-ISSN 1520-5851
Journal Environmental Science & Technology
Quellenangaben Volume: 46, Issue: 20, Pages: 11195-11205 Article Number: , Supplement: ,
Publisher ACS
Publishing Place Washington, DC
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology (EPI)
POF-Topic(s) 30503 - Chronic Diseases of the Lung and Allergies
30202 - Environmental Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-503900-001
G-504000-001
PubMed ID 22963366
DOI 10.1021/es301948k
WOS ID WOS:000309805000045
Erfassungsdatum 2012-11-21
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