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Development of land use regression models for PM2.5, PM 2.5 absorbance, PM10 and PMcoarse in 20 European study areas; Results of the ESCAPE project
Eeftens, Marloes Beelen, Rob de Hoogh, Kees Bellander, Tom Cesaroni, Giulia Cirach, Marta Declercq, Christophe Dėdelė, Audrius Dons, Evi de Nazelle, Audrey
Eeftens, Marloes
Beelen, Rob
de Hoogh, Kees
Bellander, Tom
Cesaroni, Giulia
Cirach, Marta
Declercq, Christophe
Dėdelė, Audrius
Dons, Evi
de Nazelle, Audrey
Author
Eeftens, Marloes
Beelen, Rob
de Hoogh, Kees
Bellander, Tom
Cesaroni, Giulia
Cirach, Marta
Declercq, Christophe
Dėdelė, Audrius
Dons, Evi
de Nazelle, Audrey
Dimakopoulou, Konstantina
Eriksen, Kirsten Thorup
Falq, Grégoire
Fischer, Paul
Galassi, Claudia
Gražulevičienė, Regina
Heinrich, Joachim
Hoffmann, Barbara
Jerrett, Michael
Keidel, Dirk
Korek, Michal
Lanki, Timo
Lindley, Sarah J.
Madsen, Christian
Mölter, Anna
Nádor, 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
Varró, Mihály J.
Vienneau, Danielle
von Klot, Stephanie
Wolf, Kathrin
Brunekreef, Bert
Hoek, Gerard
Beelen, Rob
de Hoogh, Kees
Bellander, Tom
Cesaroni, Giulia
Cirach, Marta
Declercq, Christophe
Dėdelė, Audrius
Dons, Evi
de Nazelle, Audrey
Dimakopoulou, Konstantina
Eriksen, Kirsten Thorup
Falq, Grégoire
Fischer, Paul
Galassi, Claudia
Gražulevičienė, Regina
Heinrich, Joachim
Hoffmann, Barbara
Jerrett, Michael
Keidel, Dirk
Korek, Michal
Lanki, Timo
Lindley, Sarah J.
Madsen, Christian
Mölter, Anna
Nádor, 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
Varró, Mihály J.
Vienneau, Danielle
von Klot, Stephanie
Wolf, Kathrin
Brunekreef, Bert
Hoek, Gerard
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 (R2) was 71% for PM2.5 (range across study areas 35–94%). Model R2 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 R2 was related to small concentration variability or limited availability of predictor variables, especially traffic intensity. Cross validation R2 results were on average 8–11% lower than model R2. 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.
Keywords
Date
2012
Type
Journal article
Journal
Environmental Science and Technology
Book
Volume
46
Issue
20
Page Range
11195-11205
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