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Evaluation of intake fractions for different subpopulations due to primary fine particulate matter (PM2.5) emitted from domestic wood combustion and traffic in Finland
Authors:Pauliina Taimisto  Marko Tainio  Niko Karvosenoja  Kaarle Kupiainen  Petri Porvari  Ari Karppinen  Leena Kangas  Jaakko Kukkonen  Jouni T. Tuomisto
Affiliation:1. National Institute for Health and Welfare (THL), P.O. Box?95, 70701, Kuopio, Finland
2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
3. Finnish Environment Institute, Helsinki, Finland
4. Finnish Meteorological Institute, Helsinki, Finland
Abstract:
Domestic wood combustion and traffic are the two most significant primary fine particulate matter (PM2.5) emission source categories in Finland. We estimated emission–exposure relationships for primary PM2.5 emissions from these source categories using intake fractions (iF), which describes the fraction of an emission that is ultimately inhaled by a target population. The iFs were calculated for four different emission source subcategories in Finland in 2000: (1) domestic wood combustion in residential buildings, (2) domestic wood combustion in recreational buildings, (3) traffic exhaust and wear emissions, and (4) traffic resuspension emissions. The iFs were estimated for both total population and for subpopulations with different gender, age, and educational status. Primary PM2.5 emissions were based on the Finnish Regional Emission Scenario model and the dispersion of particles was calculated using the Urban Dispersion Modeling system of Finnish Meteorological Institute. Both emissions and dispersion were estimated on a 1 km spatial resolution. The iFs for primary PM2.5 emissions from (1) residential and (2) recreational buildings were 3.4 and 0.6 per million, respectively. The corresponding iF for (3) traffic exhaust and wear and (4) traffic resuspension emissions were 9.7 and 9.5 per million, respectively. The differences in population-weighted outdoor concentrations were significant between subpopulations with different educational status so that people with higher education were exposed more to traffic-related PM2.5.
Keywords:
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