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首页> 外文期刊>Environmental Science & Technology >Improving Predictions of Indoor Aerosol Concentrations of Outdoor Origin by Considering the Phase Change of Semivolatile Material Driven by Temperature and Mass-Loading Gradients
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Improving Predictions of Indoor Aerosol Concentrations of Outdoor Origin by Considering the Phase Change of Semivolatile Material Driven by Temperature and Mass-Loading Gradients

机译:通过考虑温度和质量负荷梯度驱动的半萎缩材料的相变,改善室内气溶胶浓度的预测

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Outdoor aerosols experience environmental changes as they are transported indoors, including outdoor-to-indoor temperature and mass-loading gradients, which can reduce or enhance their indoor concentrations due to repartitioning driven by changes in thermodynamic equilibrium states. However, the complexity required to model repartitioning typically hinders its inclusion in studies predicting indoor exposure to ambient aerosols. To facilitate exposure predictions, this work used an explicit thermodynamic indoor aerosol model to simulate outdoor-to-indoor aerosol repartitioning typical for residential and office buildings across the 16 U.S. climate zones over an annual time horizon. Results demonstrate that neglecting repartitioning when predicting indoor concentrations can produce errors of up to 80-100% for hydrocarbon-like organic aerosol, 40-60% for total organic aerosol, 400% for ammonium nitrate, and 60% (typically 3 μg/ m~3) for the total PM_(2.5) aerosol. Underpredictions were more likely for buildings in hotter than colder regions, and for residences than offices, since both cooler indoor air and more meaningful residential organic aerosol concentrations encourage condensation of semivolatile organics. Furthermore, a method for computing correction factors to more easily account for thermodynamic repartitioning is provided. Applying these correction factors to mechanical-only aerosol predictions significantly reduced errors to <0.5 μg/m~3 for the total indoor PM_(2.5) while bypassing explicit thermodynamic simulations.
机译:户外气溶胶体验在室内运输时的环境变化,包括室外温度和大规模装载梯度,这可以减少或增强由于热力学平衡状态的变化驱动的重新分配导致的室内浓度。然而,模型重新分配所需的复杂性通常会阻碍其在预测室内暴露于环境气溶胶的研究中的包含。为了便于曝光预测,这项工作使用了一个明确的热力学室内气溶胶模型,以模拟在年度时间范围内的16美国气候区的住宅和办公楼典型的典型室内气溶胶。结果表明,在预测室内浓度时忽略重新分配可以产生高达80-100%的烃类有机气溶胶,总有机气溶胶的40-60%,硝酸铵的400%,60%(通常为3μg/ m) 〜3)对于总PM_(2.5)气溶胶。欠低的建筑物更有可能比较冷的地区更热,而且除了办公室,较冷的室内空气和更有意义的住宅有机气溶胶浓度促进半挥发性有机物的凝聚。此外,提供了一种用于计算校正因子以更容易地解释热力学重置的方法。将这些校正因子应用于仅机械气溶胶预测,在绕过明确的热力学模拟时,对于总室内PM_(2.5),将误差显着降低到<0.5μg/ m〜3。

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