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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14447

Title: 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
Authors: Eeftens, Marloes
Beelen, Rob
de Hoogh, Kees
Bellander, Tom
Cesaroni, Giulia
Cirach, Marta
Declercq, Christophe
Dedele, Audrius
Dons, Evi
de Nazelle, Audrey
Dimakopoulou, Konstantina
Eriksen, Kirsten
Falq, Gregoire
Fischer, Paul
Galassi, Claudia
Grazuleviciene, Regina
Heinrich, Joachim
Hoffmann, Barbara
Jerrett, Michael
Keidel, Dirk
Korek, Michal
Lanki, Timo
Lindley, Sarah
Madsen, Christian
Moelter, Anna
Nador, Gizella
Nieuwenhuijsen, Mark
Nonnemacher, Michael
Pedeli, Xanthi
Raaschou-Nielsen, Ole
Patelarou, Evridiki
Quass, Ulrich
Ranzi, Andrea
Schindler, Christian
Stempfelet, Morgane
Stephanou, Euripides
Sugiri, Dorothea
Tsai, Ming-Yi
Yli-Tuomi, Tarja
Varro, Mihaly J.
Vienneau, Danielle
von Klot, Stephanie
Wolf, Kathrin
Brunekreef, Bert
Hoek, Gerard
Issue Date: 2012
Citation: ENVIRONMENTAL SCIENCE & TECHNOLOGY, 46 (20), p. 11195-11205
Abstract: 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 PM2.5, PM2.5 absorbance, PM10, and PMcoarse 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 PM2.5 (range across study areas 35-94%). Model R-2 was higher for PM2.5 absorbance (median 89%, range 56-97%) and lower for PMcoarse (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.
Notes: [Eeftens, Marloes; Beelen, Rob; Brunekreef, Bert; Hoek, Gerard] Univ Utrecht, Inst Risk Assessment Sci, NL-3508 TD Utrecht, Netherlands. [de Hoogh, Kees; Vienneau, Danielle] Univ London Imperial Coll Sci Technol & Med, MRC HPA Ctr Environm & Hlth, Dept Epidemiol & Biostat, London, England. [Bellander, Tom; Korek, Michal] Karolinska Inst, Inst Environm Med, S-10401 Stockholm, Sweden. [Cesaroni, Giulia] Lazio Reg Hlth Serv, Dept Epidemiol, Rome, Italy. [Cirach, Marta; de Nazelle, Audrey; Nieuwenhuijsen, Mark] Ctr Res Environm Epidemiol CREAL, Barcelona, Spain. [Cirach, Marta; de Nazelle, Audrey; Nieuwenhuijsen, Mark] Hosp del Mar, IMIM, Res Inst, Barcelona, Spain. [Declercq, Christophe; Falq, Gregoire; Stempfelet, Morgane] French Inst Publ Hlth Surveillance, St Maurice, France. [Dedele, Audrius; Grazuleviciene, Regina] Vytautas Magnus Univ, Kaunas, Lithuania. [Dons, Evi] Flemish Inst Technol Res, VITO MRG, Environm Risk & Hlth Unit, Mol, Belgium. [Dons, Evi] Hasselt Univ, Diepenbeek, Belgium. [Dimakopoulou, Konstantina; Pedeli, Xanthi] Univ Athens, Dept Hyg Epidemiol & Med Stat, Sch Med, Athens 11528, Greece. [Eriksen, Kirsten; Raaschou-Nielsen, Ole] Danish Canc Soc, Res Ctr, Copenhagen, Denmark. [Fischer, Paul] Natl Inst Publ Hlth & Environm, Ctr Environm Hlth, NL-3720 BA Bilthoven, Netherlands. CPO Piedmont, AOU San Giovanni Battista, Turin, Italy. [Heinrich, Joachim] HMGU Inst Epidemiol I, Neuherberg, Germany. [Hoffmann, Barbara; Sugiri, Dorothea] IUF Leibniz Res Inst Environm Med, Dusseldorf, Germany. [Hoffmann, Barbara] Univ Dusseldorf, Fac Med, D-40225 Dusseldorf, Germany. [Jerrett, Michael] Univ Calif Berkeley, Sch Publ Hlth, Berkeley, CA 94720 USA. [Keidel, Dirk; Schindler, Christian; Tsai, Ming-Yi] Swiss Trop & Publ Hlth Inst, Dept Epidemiol & Publ Hlth, Basel, Switzerland. [Keidel, Dirk; Schindler, Christian; Tsai, Ming-Yi] Univ Basel, Basel, Switzerland. [Lanki, Timo; Yli-Tuomi, Tarja] Natl Inst Hlth & Welf, Dept Environm Hlth, Kuopio, Finland. [Lindley, Sarah] Univ Manchester, Sch Environm & Dev Geog, Manchester, Lancs, England. [Madsen, Christian] Norwegian Inst Publ Hlth, Div Epidemiol, Oslo, Norway. [Moelter, Anna] Univ Manchester, Ctr Occupat & Environm Hlth, Manchester, Lancs, England. [Nador, Gizella; Varro, Mihaly J.] Natl Inst Environm Hlth, Dept Environm Epidemiol, Budapest, Hungary. [Nonnemacher, Michael] Univ Duisburg Essen, Inst Med Informat Biometry & Epidemiol, Essen, Germany. [Patelarou, Evridiki] Univ Crete, Dept Social Med, Sch Med, Iraklion, Greece. [Quass, Ulrich] IUTA Inst Energie & Umwelttech eV, Air Qual & Sustainable Nanotechnol, Duisburg, Germany. [Ranzi, Andrea] ARPA Emilia Romagna, Reg Reference Ctr Environm & Hlth, Modena, Italy. Univ Crete, Environm Chem Proc Lab, Iraklion, Greece. [Stephanou, Euripides; Tsai, Ming-Yi] Univ Washington, Dept Environm & Occupat Hlth Sci, Seattle, WA 98195 USA. [von Klot, Stephanie; Wolf, Kathrin] HMGU Inst Epidemiol, Neuherberg, Germany. [Brunekreef, Bert] Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands.
URI: http://hdl.handle.net/1942/14447
DOI: 10.1021/es301948k
ISI #: 000309805000045
ISSN: 0013-936X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2013
Appears in Collections: Research publications

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