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Integrated Ambient and Microenvironment Model for Estimation of PM_(10) Exposures of Children in Annual and Episode Settings

机译:年度和情节背景下儿童PM_(10)暴露估计的集成环境和微环境模型

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Particulate matter air pollution is estimated to cause in the order of 350,000 excess deaths in the European Union calling for policy development and evaluation tools. In the current work, a model for PM_(10) exposures of children is developed using microenvironment time activities and infiltration of ambient pollution indoors, both evaluated against observations earlier and integrated with city-wide air quality models in the current work. The model is demonstrated using data from two cities in Italy. High-end short-term exposures are characterized by an episode-day situation in Turin, and annual mean exposures in downtown Bologna. The air quality model was unable to capture the highest levels during the episode, and therefore, the exposure model was adjusted using observed-modeled ratio from a monitoring station. Air quality model performance for the annual levels was significantly better. Annual exposure variability within the target population was 1.5-fold in the downtown area Bologna and tenfold during the episode day in Turin.
机译:据估计,在欧盟,需要政策制定和评估工具的空气中,颗粒物空气污染将导致大约350,000多例死亡。在当前的工作中,使用微环境时间活动和室内环境污染的渗透开发了儿童PM_(10)暴露的模型,这些模型均根据早期观察进行了评估,并与当前工作中的全市空气质量模型集成。该模型使用来自意大利两个城市的数据进行了演示。高端短期暴露的特征是都灵的每日情况和博洛尼亚市中心的年平均暴露。空气质量模型无法在事件发生期间捕捉到最高水平,因此,使用来自监测站的观测建模比率来调整暴露模型。年度水平的空气质量模型表现明显更好。目标人群的年接触变异在市区的博洛尼亚为1.5倍,在都灵发生期间为10倍。

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