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Integrated model for the estimation of annual, seasonal, and episode PM10 exposures of children in Rome, Italy

机译:用于估计意大利罗马儿童的年度,季节性和发作PM 10 暴露的综合模型

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Population exposure assessment plays a central role in developing efficient policies to control the significant health impacts caused by ambient pollution. Policy development requires comparison of alternative control options, which by definition can only be conducted using models. The current work presents results from an integrated model developed for Rome, Italy, to estimate the exposure distributions of children. Spatial distribution of the hourly PM10 levels in 2005 was modeled by a chemical transport model and the modeled concentrations were adjusted using a procedure based on the observed PM10 concentrations at urban stations. The PM10 exposures of children were then estimated accounting for: the time–activity patterns in indoors, outdoors, and in traffic; adjusted ambient levels; and outdoor to indoor infiltration factors. The mean annual exposure level was 22 μg/m3, compared to the mean observed ambient concentration at a central station of 48 μg/m3, with higher seasonal levels estimated for spring and summer than for autumn and winter. The differences are caused by the longer time spent outdoors and higher residential ventilation rates during spring and summer. The highest integrated exposures took place in the northeasterly districts. Average exposure levels in almost the whole city exceeded 20 μg/m3. Short-term exposures were also investigated during a winter PM10 episode for which exposure levels in excess of 30 μg/m3 were calculated. Cumulative distribution results for the children indicate that the 24-h limit of 50 μg/m³ set for the protection of human health is not exceeded by the exposures of children during the episode. The results of this study are important for a correct interpretation of the epidemiological studies taking into account the relationship of exposures and ambient air quality and for the development of alternative policy options to reduce children’s exposures by lifestyle modification and interventions focused on the reduction of the infiltration of PM10 into indoor environments.
机译:人口暴露评估在制定有效政策以控制由环境污染引起的重大健康影响方面起着核心作用。政策制定要求比较其他控制选项,根据定义,这些选项只能使用模型进行。当前的工作介绍了为意大利罗马开发的综合模型的结果,以估计儿童的接触分布。利用化学迁移模型对2005年每小时PM 10 水平的空间分布进行建模,并根据观测到的城市站点PM 10 浓度的程序对模型浓度进行调整。 。然后估算儿童的PM 10 暴露量,其原因包括:室内,室外和交通中的时间-活动模式;调整后的环境水平;和室外到室内的渗透因素。年平均暴露水平为22μg/ m 3 ,而在中心站观测到的平均环境浓度为48μg/ m 3 ,估计的季节性水平更高春天和夏天要比秋天和冬天好。造成这种差异的原因是,户外时间更长,春季和夏季的住宅通风率更高。最高的综合曝光率发生在东北地区。几乎整个城市的平均暴露水平超过20μg/ m 3 。还研究了冬季PM 10 发作期间的短期暴露,计算得出其暴露水平超过30μg/ m 3 。儿童的累积分布结果表明,发作期间儿童的暴露没有超过为保护人类健康而设定的24 h限值50μg/m³。这项研究的结果对于正确解释流行病学研究具有重要意义,要考虑到暴露量与周围空气质量之间的关系,并制定替代性的政策选择,以通过改变生活方式和减少渗透的干预措施来减少儿童的暴露量PM 10 进入室内环境。

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