Spatial variations and development of land use regression models of oxidative potential in ten European study areas
| Autor: | Ole Raaschou-Nielsen, Morgane Stempfelet, Francesco Forastiere, Marta Cirach, Meng Wang, Bert Brunekreef, Ingeborg M. Kooter, Tarja Yli-Tuomi, Timo Lanki, Aileen Yang, Gerard Hoek, Kirsten Thorup Eriksen, Kees Meliefste, Mark J. Nieuwenhuijsen, Konstantina Dimakopoulou, Nicole A.H. Janssen, Giulia Cesaroni, Rob Beelen, Aleksandra Jedynska, Audrey de Nazelle, Josef Cyrys, Christophe Ampe, Menno Keuken, Christophe Declercq, Marloes Eeftens, Wenche Nystad, Helgah Makarem Akhlaghi, Kees de Hoogh |
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| Přispěvatelé: | LS IRAS EEPI ME (Milieu epidemiologie), LS IRAS EEPI Inhalatie Toxicologie, Dep IRAS, dIRAS RA-2, dIRAS RA-I&I RA |
| Rok vydání: | 2017 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Air pollution Dtt Lur Oxidative Potential Pm2.5 Spatial Variation Urbanisation PM2.5 Predictor variables Environment 010501 environmental sciences medicine.disease_cause Land use regression 01 natural sciences Urbanization Urban background medicine Oxidative potential 0105 earth and related environmental sciences General Environmental Science Life Urban Mobility & Environment LUR Spatial variation Environmental engineering Environmental science Spatial variability RAPID - Risk Analysis for Products in Development EMS - Environmental Modelling Sensing & Analysis ELSS - Earth Life and Social Sciences Physical geography Environment & Sustainability DTT |
| Zdroj: | Atmospheric Environment, 150, 24. Elsevier Limited Atmospheric Environment, 150, 24-32 Atmos. Environ. 150, 24-32 (2017) |
| ISSN: | 1352-2310 |
| DOI: | 10.1016/j.atmosenv.2016.11.029 |
| Popis: | 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. © 2016 Elsevier Ltd |
| Databáze: | OpenAIRE |
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