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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

机译:评估芬兰国内木材燃烧和运输产生的主要细颗粒物(PM 2.5 )引起的不同亚种群的进气分数

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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.
机译:家用木材的燃烧和运输是芬兰两个最重要的主要细颗粒物(PM 2.5 )排放源类别。我们使用摄入分数(iF)估算了这些来源类别中主要PM 2.5 排放的排放与暴露关系,该摄入分数描述了最终被目标人群吸入的一部分排放。在2000年针对芬兰的四个不同排放源子类别计算了iF:(1)住宅建筑中的家用木材燃烧,(2)娱乐建筑中的家用木材燃烧,(3)交通尾气和磨损排放,以及(4)交通中止排放。对总人口和具有不同性别,年龄和受教育程度的亚人群都估计了iF。 PM 2.5 的主要排放基于芬兰的区域排放情景模型,并且使用芬兰气象学院的城市扩散建模系统计算了颗粒的扩散。排放和色散均以1 km的空间分辨率估算。 (1)住宅和(2)娱乐建筑的主要PM 2.5 排放的iF分别为百万分之3.4和0.6。 (3)交通排放和磨损和(4)交通中止排放的相应iF分别为9.7和9.5每百万。受教育程度不同的亚人群之间的人口加权室外浓度差异显着,因此受教育程度较高的人更容易受到交通相关的PM 2.5 的影响。

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