DOI: 10.1016/j.atmosenv.2014.05.038
Scopus记录号: 2-s2.0-84901305763
论文题名: Assessing ozone exposure for epidemiological studies in Malmö and Umeå, Sweden
作者: Malmqvist E ; , Olsson D ; , Hagenbjörk-Gustafsson A ; , Forsberg B ; , Mattisson K ; , Stroh E ; , Strömgren M ; , Swietlicki E ; , Rylander L ; , Hoek G ; , Tinnerberg H ; , Modig L
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 94 起始页码: 241
结束页码: 248
语种: 英语
英文关键词: Air pollution modelling
; Epidemiology
; Land use regression
; Ozone
; Risk assessment
Scopus关键词: Air pollution
; Epidemiology
; Land use
; Population statistics
; Regression analysis
; Risk assessment
; Rural areas
; Air pollution modelling
; Epidemiological studies
; Ground-level ozone
; Land use regression
; Meteorological variables
; Population densities
; Spatial variability
; Temporal variability
; Ozone
; ozone
; atmospheric modeling
; atmospheric pollution
; epidemiology
; health impact
; land use change
; ozone
; pollution exposure
; risk assessment
; seasonal variation
; spatial variation
; temporal variation
; altitude
; article
; environmental exposure
; epidemiological data
; health hazard
; human
; land use
; meteorological phenomena
; ozone exposure
; ozone layer
; population density
; priority journal
; risk assessment
; rural area
; seasonal variation
; spatiotemporal analysis
; Sweden
; Malmo
; Skane
; Sweden
; Umea
; Vasterbotten
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: Ground level ozone [ozone] is considered a harmful air pollutant but there is a knowledge gap regarding its long term health effects. The main aim of this study is to develop local Land Use Regression [LUR] models that can be used to study long term health effects of ozone. The specific aim is to develop spatial LUR models for two Swedish cities, Umeå and Malmö, as well as a temporal model for Malmö in order to assess ozone exposure for long term epidemiological studies. For the spatial model we measured ozone, using Ogawa passive samplers, as weekly averages at 40 sites in each study area, during three seasons. This data was then inserted in the LUR-model with data on traffic, land use, population density and altitude to develop explanatory models of ozone variation. To develop the temporal model for Malmö, hourly ozone data was aggregated into daily means for two measurement stations in Malmö and one in a rural area outside Malmö. Using regression analyses we inserted meteorological variables into different temporal models and the one that performed best for all three stations was chosen. For Malmö the LUR-model had an adjusted model R2 of 0.40 and cross validation R2 of 0.17. For Umeå the model had an adjusted model R2 of 0.67 and cross validation adjusted R2 of 0.48. When restricting the model to only including measuring sites from urban areas, the Malmö model had adjusted model R2 of 0.51 (cross validation adjusted R2 0.33) and the Umeå model had adjusted model R2 of 0.81 (validation adjusted R2 of 0.73). The temporal model had adjusted model R2 0.54 and 0.61 for the two Malmö sites, the cross validation adjusted R2 was 0.42. In conclusion, we can with moderate accuracy, at least for Umeå, predict the spatial variability, and in Malmö the temporal variability in ozone variation. © 2014 The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81207
Appears in Collections: 气候变化事实与影响
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作者单位: Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Sweden; Division of Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Sweden; Department of Geography and Economic History, Umeå University, Sweden; Division of Nuclear Physics, Department of Physics, Lund University, Sweden; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, Netherlands
Recommended Citation:
Malmqvist E,, Olsson D,, Hagenbjörk-Gustafsson A,et al. Assessing ozone exposure for epidemiological studies in Malmö and Umeå, Sweden[J]. Atmospheric Environment,2014-01-01,94