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Spatial variations and development of land use regression models of oxidative potential in ten European study areas
Jedynska, Aleksandra Hoek, Gerard Wang, Meng Yang, Aileen Eeftens, Marloes Cyrys, Josef Keuken, Menno Ampe, Christophe Beelen, Rob Cesaroni, Giulia
Jedynska, Aleksandra
Hoek, Gerard
Wang, Meng
Yang, Aileen
Eeftens, Marloes
Cyrys, Josef
Keuken, Menno
Ampe, Christophe
Beelen, Rob
Cesaroni, Giulia
Author
Jedynska, Aleksandra
Hoek, Gerard
Wang, Meng
Yang, Aileen
Eeftens, Marloes
Cyrys, Josef
Keuken, Menno
Ampe, Christophe
Beelen, Rob
Cesaroni, Giulia
Forastiere, Francesco
Cirach, Marta
de Hoogh, Kees
de Nazelle, Audrey
Nystad, Wenche
Akhlaghi, Helgah M.
Declercq, Christophe
Stempfelet, Morgane
Eriksen, Kirsten T.
Dimakopoulou, Konstantina
Lanki, Timo
Meliefste, Kees
Nieuwenhuijsen, Mark
Yli-Tuomi, Tarja
Raaschou-Nielsen, Ole
Janssen, Nicole
Brunekreef, Bert
Kooter, Ingeborg M.
Hoek, Gerard
Wang, Meng
Yang, Aileen
Eeftens, Marloes
Cyrys, Josef
Keuken, Menno
Ampe, Christophe
Beelen, Rob
Cesaroni, Giulia
Forastiere, Francesco
Cirach, Marta
de Hoogh, Kees
de Nazelle, Audrey
Nystad, Wenche
Akhlaghi, Helgah M.
Declercq, Christophe
Stempfelet, Morgane
Eriksen, Kirsten T.
Dimakopoulou, Konstantina
Lanki, Timo
Meliefste, Kees
Nieuwenhuijsen, Mark
Yli-Tuomi, Tarja
Raaschou-Nielsen, Ole
Janssen, Nicole
Brunekreef, Bert
Kooter, Ingeborg M.
Abstract
Oxidative potential (OP) has been suggested as a health-relevant measure of air pollution. Little information is available about OP spatial variation and the possibility to model its spatial variability. Our aim was to measure the spatial variation of OP within and between 10 European study areas. The second aim was to develop land use regression (LUR) models to explain the measured spatial variation. OP was determined with the dithiothreitol (DTT) assay in ten European study areas. DTT of PM2.5 was measured at 16–40 sites per study area, divided over street, urban and regional background sites. Three two-week samples were taken per site in a one-year period in three different seasons. We developed study-area specific LUR models and a LUR model for all study areas combined to explain the spatial variation of OP. Significant contrasts between study areas in OP were found. OP DTT levels were highest in southern Europe. DTT levels at street sites were on average 1.10 times higher than at urban background locations. In 5 of the 10 study areas LUR models could be developed with a median R2 of 33%. A combined study area model explained 30% of the measured spatial variability. Overall, LUR models did not explain spatial variation well, possibly due to low levels of OP DTT and a lack of specific predictor variables.
Keywords
Date
2017
Type
Journal article
Journal
Atmospheric Environment
Book
Volume
150
Issue
Page Range
24-32
Article Number
ACU Department
Mary MacKillop Institute for Health Research
Faculty of Health Sciences
Faculty of Health Sciences
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Relation URI
Source URL
Event URL
Open Access Status
License
File Access
Controlled