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A simple physical-activity-based model for managing children's activities against exposure to air pollutants

机译:一种简单的基于物理活动的模型,用于管理儿童活动暴露在空气污染物

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摘要

Air pollution has been a major health concern worldwide, such that there is an urgent need for exposure assessments of human exposure to air pollutants. As children are more active and may experience more exposure events than adults, it is more challenging to conduct exposure assessments for children. To obtain a general understanding of the impact that children's activity, associated with their respiratory rate (IR), has on estimated exposure risks, we adopted a simple model to narrow down children's exposure behaviors to four categories, which integrated children's regular schedules and the indoor-outdoor ratio (r_(I/O)) of air pollutants. Although outdoor play only occupies approximately 8.6% of the total weekly time, the results indicate that, in general, outdoor play contributes to over 50% of the total exposure to air pollutants when r_(I/O) is less than 0.1, which is due to children's relatively large IR during high-intensity activities. When air pollutants mainly originate from indoor sources (i.e., r_(I/O) = 3.0), indoor sitting (28%) and sleeping (36%) account for the major portion of the total exposure due to the longer exposure duration while outdoor events, including playing, walking, and sitting, account for ~15% of the total exposure. In addition, we applied a ratio function (R_(M/C)) to compare our simple model to a common basic model, revealing that our simulated results are consistent with the basic model, i.e., 0.94 ≤ R_(m/c) ≤ 112, if the r_(I/O) of air pollutants falls in the range between 0.5 and 1.5. The sensitivity analysis indicates that indoor or outdoor play has a larger impact on the output results than other activity-related variables because of the correspondingly largest IR. We also incorporated weather factors to adjust children's activity schedules for winter and non-winter days showing the change in the contributions of children's activities to total exposure. For example, the contribution differential of outdoor play to the total exposure between winter and non-winter days is ~8% for air pollutants with an r_(I/O) value of 0.1. Although other factors, such as the activity intensity level and concentration of air pollutant in the microenvironment, must be refined in future studies, our simple model can be applied as a convenient approach to arrange children's activity schedules against possible air pollutant exposure.
机译:空气污染是全世界的主要健康问题,这迫切需要对人体暴露于空气污染物的暴露评估。由于儿童更加活跃,可能比成年人更多的曝光事件,对儿童进行暴露评估更具挑战性。为了获得对儿童活动的影响,与呼吸率(IR)相关的影响,我们采用了一个简单的模型,将儿童的曝光行为缩小到四个类别,其中综合了儿童的常规时间表和室内 - 空气污染物的Outdoor比率(R_(I / O))。虽然室外游戏仅占总周时间的大约8.6%,但结果一般来说,当R_(I / O)小于0.1时,户外游戏有助于在空气污染物的总暴露于空气污染物的50%以上。由于儿童在高强度活动中的相对较大的红外。当空气污染物主要来自室内来源时(即R_(I / O)= 3.0),室内坐姿(28%)和睡眠(36%)占总曝光的主要部分,因为较长的曝光时间在室外较长活动,包括播放,走路和坐着,占总暴露的〜15%。此外,我们应用了比率函数(R_(m / c))来将我们的简单模型与普通的基本模型进行比较,揭示我们的模拟结果与基本模型一致,即0.94≤r_(m / c)≤ 112,如果空气污染物的R_(I / O)落在0.5和1.5之间的范围内。灵敏度分析表明,由于相应的IR,室内或室外游戏的影响比其他与其他活动相关的变量更大的影响。我们还在冬季和非冬季调整儿童活动时间表,显示儿童活动对全面曝光活动的变化。例如,对于冬季和非冬季的冬季和非冬季的总曝光的贡献差异为r_(I / O)值为0.1的空气污染物的〜8%。虽然在微环境中的其他因素,例如在微环境中的空气污染物中的活性强度水平和空气污染物的浓度,但是在未来的研究中必须精制,我们的简单模型可以作为一种方便的方法来安排儿童活动时间表,以防止可能的空气污染物暴露。

著录项

  • 来源
    《Journal of Environmental Management》 |2021年第1期|111823.1-111823.9|共9页
  • 作者单位

    School of Public Health (Shenzhen) Sun Yat-sen University Guangdong 510275 China;

    School of Public Health (Shenzhen) Sun Yat-sen University Guangdong 510275 China;

    School of Public Health (Shenzhen) Sun Yat-sen University Guangdong 510275 China;

    School of Public Health (Shenzhen) Sun Yat-sen University Guangdong 510275 China;

    School of Public Health Sun Yat-sen University Guangdong 510275 China;

    School of Public Health (Shenzhen) Sun Yat-sen University Guangdong 510275 China;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Children's health; Risk modeling; Exposure assessment; Daily schedule management;

    机译:孩子的健康;风险建模;接触评估;每日时间表管理;

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