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dc.contributor.authorde Hoogh, Kees
dc.contributor.authorChen, Jie
dc.contributor.authorGulliver, John
dc.contributor.authorHoffmann, Barbara
dc.contributor.authorHertel, Ole
dc.contributor.authorKetzel, Matthias
dc.contributor.authorBauwelinck, Mariska
dc.contributor.authorvan Donkelaar, Aaron
dc.contributor.authorHvidtfeldt, Ulla A
dc.contributor.authorKatsouyanni, Klea
dc.contributor.authorKlompmaker, Jochem
dc.contributor.authorMartin, Randal V
dc.contributor.authorSamoli, Evangelia
dc.contributor.authorSchwartz, Per E
dc.contributor.authorStafoggia, Massimo
dc.contributor.authorBellander, Tom
dc.contributor.authorStrak, Maciej
dc.contributor.authorWolf, Kathrin
dc.contributor.authorVienneau, Danielle
dc.contributor.authorBrunekreef, Bert
dc.contributor.authorHoek, Gerard
dc.date.accessioned2018-08-16T11:31:52Z
dc.date.available2018-08-16T11:31:52Z
dc.date.issued2018-07-31
dc.identifier.citationSpatial PM2.5, NO2, O3 and BC models for Western Europe - Evaluation of spatiotemporal stability. 2018, 120:81-92 Environ Inten
dc.identifier.issn1873-6750
dc.identifier.pmid30075373
dc.identifier.doi10.1016/j.envint.2018.07.036
dc.identifier.urihttp://hdl.handle.net/10029/622121
dc.description.abstractIn order to investigate associations between air pollution and adverse health effects consistent fine spatial air pollution surfaces are needed across large areas to provide cohorts with comparable exposures. The aim of this paper is to develop and evaluate fine spatial scale land use regression models for four major health relevant air pollutants (PM2.5, NO2, BC, O3) across Europe.
dc.language.isoenen
dc.titleSpatial PM2.5, NO2, O3 and BC models for Western Europe - Evaluation of spatiotemporal stability.en
dc.typeArticleen
dc.identifier.journalEnviron Int 2018; 120:81-92en
html.description.abstractIn order to investigate associations between air pollution and adverse health effects consistent fine spatial air pollution surfaces are needed across large areas to provide cohorts with comparable exposures. The aim of this paper is to develop and evaluate fine spatial scale land use regression models for four major health relevant air pollutants (PM2.5, NO2, BC, O3) across Europe.


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