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de Hoogh, K.* ; Gulliver, J.* ; Donkelaar, A.V.* ; Martin, R.V.* ; Marshall, J.D.* ; Bechle, M.J.* ; Cesaroni, G.* ; Pradas, M.C.* ; Dedele, A.* ; Eeftens, M.* ; Forsberg, B.* ; Galassi, C.* ; Heinrich, J. ; Hoffmann, B.* ; Jacquemin, B.* ; Katsouyanni, K.* ; Korek, M.* ; Künzli, N.* ; Lindley, S.J.* ; Lepeule, J.* ; Meleux, F.* ; de Nazelle, A.* ; Nieuwenhuijsen, M.* ; Nystad, W.* ; Raaschou-Nielsen, O.* ; Peters, A. ; Peuch, V.H.* ; Rouil, L.* ; Udvardy, O.* ; Slama, R.* ; Stempfelet, M.* ; Stephanou, E.G.* ; Tsai, M.Y.* ; Yli-Tuomi, T.* ; Weinmayr, G.* ; Brunekreef, B.* ; Vienneau, D.* ; Hoek, G.*

Development of West-European PM2.5 and NO2 land use regression models incorporating satellite-derived and chemical transport modelling data.

Environ. Res. 151, 1-10 (2016)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Satellite-derived (SAT) and chemical transport model (CTM) estimates of PM2.5 and NO2 are increasingly used in combination with Land Use Regression (LUR) models. We aimed to compare the contribution of SAT and CTM data to the performance of LUR PM2.5 and NO2 models for Europe. Four sets of models, all including local traffic and land use variables, were compared (LUR without SAT or CTM, with SAT only, with CTM only, and with both SAT and CTM). LUR models were developed using two monitoring data sets: PM2.5 and NO2 ground level measurements from the European Study of Cohorts for Air Pollution Effects (ESCAPE) and from the European AIRBASE network. LUR PM2.5 models including SAT and SAT+CTM explained ~60% of spatial variation in measured PM2.5 concentrations, substantially more than the LUR model without SAT and CTM (adjR(2): 0.33-0.38). For NO2 CTM improved prediction modestly (adjR(2): 0.58) compared to models without SAT and CTM (adjR(2): 0.47-0.51). Both monitoring networks are capable of producing models explaining the spatial variance over a large study area. SAT and CTM estimates of PM2.5 and NO2 significantly improved the performance of high spatial resolution LUR models at the European scale for use in large epidemiological studies.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Air Pollution ; Exposure ; Fine Particulate Matter ; Nitrogen Dioxide ; Spatial Modelling; Fine Particulate Matter; Aerosol Optical Depth; Air-pollution; Exposure Assessment; Macc Reanalysis; Escape Project; Areas; Pm10; Absorbency; Pmcoarse
ISSN (print) / ISBN 0013-9351
e-ISSN 1096-0953
Journal Environmental Research
Quellenangaben Volume: 151, Issue: , Pages: 1-10 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place San Diego, Calif.
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology (EPI)
Institute of Epidemiology II (EPI2)