Spatio-temporal semiparametric models for NO 2 and PM 10 concentration levels in Athens, Greece
作者: Alexandros GryparisKonstantina DimakopoulouXanthi PedeliKlea Katsouyanni
作者单位: 1Department of Hygiene, Epidemiology and Medical Statistics, Bldg 12, Medical School of Athens, 75 Mikras Asias, Athens 11527, Greece
刊名: Science of the Total Environment, 2014, Vol.479-480 , pp.21-30
来源数据库: Elsevier Journal
DOI: 10.1016/j.scitotenv.2014.01.075
关键词: Regression mappingLand use regressionSpatio-temporal modelingGISAir pollutionNearest station monitor
原始语种摘要: Abstract(#br)Background and aims(#br)Studies of air pollution effects on health are often based on ecological measurements. Our aim was to develop spatio-temporal models that estimate daily levels of NO 2 and PM 10 at every point in space, within the greater Athens area.(#br)Methods(#br)We applied a semiparametric approach using spatial and temporal covariates and a bivariate smooth thin plate function. We evaluated the predictions of our models against the exposure estimates that are typically used in health studies. For model validation we used a temporal and a spatial approach.(#br)Results(#br)The adjusted-R 2 of the developed exposure models was 0.53 and 0.75 for PM 10 and NO 2 respectively; the spatial terms in our models explained 41.5% and 64.5% and the temporal explained 52.85%...
全文获取路径: Elsevier  (合作)
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影响因子:3.258 (2012)

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