作者: Niko Karvosenoja , Leena Kangas , Kaarle Kupiainen , Jaakko Kukkonen , Ari Karppinen
DOI: 10.1007/S11869-010-0100-9
关键词: Combustion 、 Fine particulate 、 Environmental engineering 、 Atmospheric dispersion modeling 、 Population exposure 、 Road traffic 、 Scale model 、 Engineering 、 Atmospheric sciences 、 Scale (map) 、 Air pollution
摘要: This study assesses population exposure caused by the emissions of primary fine particulate matter (PM2.5) originated from road traffic and domestic wood combustion in Finland 2000 2020. The evaluations were performed using source-receptor matrices (SRMs) based on computations a local regional scale atmospheric dispersion model, two different grid resolutions: 1 10 km. Road are nationally most important emission source categories PM2.5; they projected to contribute 42% Finnish total Although exhaust decrease considerably future, 91% 2020, non-exhaust predicted increase. Traffic found cause average higher population-weighted concentration (PWC) PM2.5, compared with emissions. Based computation 1-km resolution SRMs, 5.5% 62% PWC, respectively, combined PWC Regarding sub-categories combustion, supplementary heating was relatively high 22% modeling model km resulted that is more than an order magnitude smaller, corresponding general implication this values evaluated integrated assessment models can be sensitive methodology, especially these substantially increase increasing spatial resolution.