作者
Kees De Hoogh, Jie Chen, John Gulliver, Barbara Hoffmann, Ole Hertel, Matthias Ketzel, Mariska Bauwelinck, Aaron van Donkelaar, Ulla A Hvidtfeldt, Klea Katsouyanni, Jochem Klompmaker, Randal V Martin, Evangelia Samoli, Per E Schwartz, Massimo Stafoggia, Tom Bellander, Maciej Strak, Kathrin Wolf, Danielle Vienneau, Bert Brunekreef, Gerard Hoek
发表日期
2018/11/1
期刊
Environment international
卷号
120
页码范围
81-92
出版商
Pergamon
简介
Background
In 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.
Methods
We developed West-European land use regression models (LUR) for 2010 estimating annual mean PM2.5, NO2, BC and O3 concentrations (including cold and warm season estimates for O3). The models were based on AirBase routine monitoring data (PM2.5, NO2 and O3) and ESCAPE monitoring data (BC), and incorporated satellite observations, dispersion model estimates, land use and traffic data. Kriging was performed on the residual spatial variation from the LUR models and added to the exposure estimates …
学术搜索中的文章
K De Hoogh, J Chen, J Gulliver, B Hoffmann, O Hertel… - Environment international, 2018