globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2016.11.029
Scopus记录号: 2-s2.0-84997171596
论文题名:
Spatial variations and development of land use regression models of oxidative potential in ten European study areas
作者: Jedynska A; , Hoek G; , Wang M; , Yang A; , Eeftens M; , Cyrys J; , Keuken M; , Ampe C; , Beelen R; , Cesaroni G; , Forastiere F; , Cirach M; , de Hoogh K; , De Nazelle A; , Nystad W; , Akhlaghi H; M; , Declercq C; , Stempfelet M; , Eriksen K; T; , Dimakopoulou K; , Lanki T; , Meliefste K; , Nieuwenhuijsen M; , Yli-Tuomi T; , Raaschou-Nielsen O; , Janssen N; A; H; , Brunekreef B; , Kooter I; M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 150
起始页码: 24
结束页码: 32
语种: 英语
英文关键词: DTT ; LUR ; Oxidative potential ; PM2.5 ; Spatial variation
Scopus关键词: Land use ; Regression analysis ; Urban growth ; Land use regression ; Land-use regression models ; Oxidative potential ; PM2.5 ; Predictor variables ; Spatial variability ; Spatial variations ; Urban background ; Spatial variables measurement ; dithiothreitol ; atmospheric pollution ; land use change ; oxidation ; particle size ; particulate matter ; pollution monitoring ; regression analysis ; spatial variation ; Article ; European ; land use ; land use regression ; oxidation reduction potential ; predictor variable ; priority journal ; seasonal variation ; spatial analysis ; urban area ; Europe
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: 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
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82272
Appears in Collections:气候变化事实与影响

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作者单位: TNO, The Netherlands Applied Research Organization, Utrecht, Netherlands; Institute for Risk Assessment Sciences, Utrecht University, Netherlands; Helmholtz Zentrum München, German Research Center of Environmental Health, Neuherberg, Germany; University of Augsburg, Environmental Science Center, Augsburg, Germany; AIRPARIF, Paris, France; Epidemiology Department, Lazio Regional Health Service, Rome, Italy; Center for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; IMIM (Hospital del Mar Research Institute), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; MRC-PHA Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom; Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway; French Institute for Public Health Surveillance (InVS), Saint-Maurice Cedex, France; Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Hygiene, Epidemiology & Medical Statistics, Medical School, National and Kapodistrian University of Athens, Greece; Department of Environmental Health, National Institute for Health and Welfare (THL), Kuopio, Finland; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland; Centre for Environmental Policy, Imperial College London, United Kingdom; National Institute for Public Health and the Environment (RIVM), Netherlands; Department of Environmental and Occupational Health Sciences, University of Washington, United States

Recommended Citation:
Jedynska A,, Hoek G,, Wang M,et al. Spatial variations and development of land use regression models of oxidative potential in ten European study areas[J]. Atmospheric Environment,2017-01-01,150
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