Inter-comparison of predicted population exposure distributions during four selected episodes in Helsinki and evaluation against measured data
by Otto Hanninen, Mari Kauhaniemi, Ari Karppinen, Jaakko Kukkonen, Anu Kousa, Matti Jantunen
International Journal of Environment and Pollution (IJEP), Vol. 40, No. 1/2/3, 2010

Abstract: Air pollution causes significant excess mortality and health effects. Action plans required by the EU legislation should optimally account for the complex interactions of population distributions, time-activity and the sources of air pollution. This paper presents FUMAPEX study results on probabilistic exposure modelling for evaluation of population exposure distributions during selected episodes in Helsinki. The air quality model characterised best the episodes of local origin, while highest exposures occurred during a long-range transported episode (average annual exposures exceeded three-fold). Fixed monitoring data represented different population exposure percentiles (from 65th to 95th) depending on the episode type and monitoring station.

Online publication date: Mon, 11-Jan-2010

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