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Development of land use regression models for particle composition in twenty study areas in Europe
de Hoogh, Kees Wang, Meng Adam, Martin Badaloni, Chiara Beelen, Rob Birk, Matthias Cesaroni, Giulia Cirach, Marta Declercq, Christophe Dėdelė, Audrius
de Hoogh, Kees
Wang, Meng
Adam, Martin
Badaloni, Chiara
Beelen, Rob
Birk, Matthias
Cesaroni, Giulia
Cirach, Marta
Declercq, Christophe
Dėdelė, Audrius
Author
de Hoogh, Kees
Wang, Meng
Adam, Martin
Badaloni, Chiara
Beelen, Rob
Birk, Matthias
Cesaroni, Giulia
Cirach, Marta
Declercq, Christophe
Dėdelė, Audrius
Dons, Evi
de Nazelle, Audrey
Eeftens, Marloes
Eriksen, Kirsten Thorup
Eriksson, Charlotta
Fischer, Paul
Gražulevičienė, Regina
Gryparis, Alexandros
Hoffmann, Barbara
Jerrett, Michael
Katsouyanni, Klea
Iakovides, Minas
Lanki, Timo
Lindley, Sarah J.
Madsen, Christian
Mölter, Anna
Mosler, Gioia
Nádor, Gizella
Nieuwenhuijsen, Mark
Pershagen, Göran
Peters, Annette
Phuleria, Harisch
Probst-Hensch, Nicole
Raaschou-Nielsen, Ole
Quass, Ulrich
Ranzi, Andrea
Stephanou, Euripides
Sugiri, Dorothea
Schwarze, Per
Tsai, Ming-Yi
Yli-Tuomi, Tarja
Varró, Mihály J.
Vienneau, Danielle
Weinmayr, Gudrun
Brunekreef, Bert
Hoek, Gerard
Wang, Meng
Adam, Martin
Badaloni, Chiara
Beelen, Rob
Birk, Matthias
Cesaroni, Giulia
Cirach, Marta
Declercq, Christophe
Dėdelė, Audrius
Dons, Evi
de Nazelle, Audrey
Eeftens, Marloes
Eriksen, Kirsten Thorup
Eriksson, Charlotta
Fischer, Paul
Gražulevičienė, Regina
Gryparis, Alexandros
Hoffmann, Barbara
Jerrett, Michael
Katsouyanni, Klea
Iakovides, Minas
Lanki, Timo
Lindley, Sarah J.
Madsen, Christian
Mölter, Anna
Mosler, Gioia
Nádor, Gizella
Nieuwenhuijsen, Mark
Pershagen, Göran
Peters, Annette
Phuleria, Harisch
Probst-Hensch, Nicole
Raaschou-Nielsen, Ole
Quass, Ulrich
Ranzi, Andrea
Stephanou, Euripides
Sugiri, Dorothea
Schwarze, Per
Tsai, Ming-Yi
Yli-Tuomi, Tarja
Varró, Mihály J.
Vienneau, Danielle
Weinmayr, Gudrun
Brunekreef, Bert
Hoek, Gerard
Abstract
Land Use Regression (LUR) models have been used to describe and model spatial variability of annual mean concentrations of traffic related pollutants such as nitrogen dioxide (NO2), nitrogen oxides (NOx) and particulate matter (PM). No models have yet been published of elemental composition. As part of the ESCAPE project, we measured the elemental composition in both the PM10 and PM2.5 fraction sizes at 20 sites in each of 20 study areas across Europe. LUR models for eight a priori selected elements (copper (Cu), iron (Fe), potassium (K), nickel (Ni), sulfur (S), silicon (Si), vanadium (V), and zinc (Zn)) were developed. Good models were developed for Cu, Fe, and Zn in both fractions (PM10 and PM2.5) explaining on average between 67 and 79% of the concentration variance (R2) with a large variability between areas. Traffic variables were the dominant predictors, reflecting nontailpipe emissions. Models for V and S in the PM10 and PM2.5 fractions and Si, Ni, and K in the PM10 fraction performed moderately with R2 ranging from 50 to 61%. Si, NI, and K models for PM2.5 performed poorest with R2 under 50%. The LUR models are used to estimate exposures to elemental composition in the health studies involved in ESCAPE.
Keywords
Date
2013
Type
Journal article
Journal
Environmental Science and Technology
Book
Volume
47
Issue
11
Page Range
5778-5786
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