Influence of spatial resolution on population PM2.5 exposure and health impacts

Health effect estimates depend on the methods of evaluating exposures. Due to non-linearities in the exposure-response relationships, both the predicted mean exposures as well as its spatial variability are significant. The aim of this work is to systematically quantify the impact of the spatial res...

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Veröffentlicht in:	Air quality, atmosphere and health atmosphere and health, 2019-06, Vol.12 (6), p.705-718
Hauptverfasser:	Korhonen, Antti, Lehtomäki, Heli, Rumrich, Isabell, Karvosenoja, Niko, Paunu, Ville-Veikko, Kupiainen, Kaarle, Sofiev, Mikhail, Palamarchuk, Yuliia, Kukkonen, Jaakko, Kangas, Leena, Karppinen, Ari, Hänninen, Otto
Format:	Artikel
Sprache:	eng
Schlagworte:	Air pollution Airborne particulates Atmospheric Protection/Air Quality Control/Air Pollution Chemical transport Dose-response effects Earth and Environmental Science Emissions Environment Environmental Health Estimates Exposure Health Health Promotion and Disease Prevention Impact prediction Long-range transport Mathematical models Organic chemistry Particulate emissions Particulate matter Particulate matter emissions Pollution sources Population Residential areas Rural areas Spatial discrimination Spatial resolution Spatial variability Urban areas
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