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首页> 外文期刊>Indoor Air >Predicting the importance of oxidative aging on indoor organic aerosol concentrations using the two‐dimensional volatility basis set (2D‐VBS)
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Predicting the importance of oxidative aging on indoor organic aerosol concentrations using the two‐dimensional volatility basis set (2D‐VBS)

机译:使用二维波动率基础集(2D-VBS)预测氧化老化对室内有机气溶胶浓度的重要性

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摘要

Organic aerosol (OA) is chemically dynamic, continuously evolving by oxidative chemistry, for instance, via hydroxyl radical (OH) reactions. Studies have explored this evolution (so-called OA aging) in the atmosphere, but none have investigated it indoors. Aging organic molecules in both particle and gas-phases undergo changes in oxygen content and volatility, which may ultimately either enhance or reduce the condensed-phase OA concentration (C-OA). This work models OH-induced aging using the two-dimensional volatility basis set (2D-VBS) within an indoor model and explores its significance on C-OA relative to prior modeling methodologies which neglect aging transformations. Lagrangian, time-averaged, and transient indoor simulations were conducted. The time-averaged simulations included a Monte Carlo procedure and sensitivity analysis, using input distributions typical of U.S. residences. Results demonstrate that indoors, aging generally leads to C-OA augmentation. The extent to which this is significant is conditional upon several factors, most notably temperature, OH exposure, and OA mass loading. Time-averaged C-OA was affected minimally in typical residences (5% increase). However, some plausible cases may cause stronger C-OA enhancements, such as in a sunlit room where photolysis facilitates significant OH production (similar to 20% increase), or during a transient OH-producing cleaning event (similar to 35% peak increase).
机译:有机气溶胶(OA)具有化学动态性,通过氧化化学(例如通过羟基自由基(OH)反应)不断发展。研究已经在大气中探索了这种演变(所谓的OA老化),但没有人在室内进行过研究。颗粒相和气相中的有机分子老化都会经历氧含量和挥发性的变化,这最终可能会提高或降低冷凝相OA的浓度(C-OA)。这项工作在室内模型中使用二维波动率基础集(2D-VBS)对OH诱导的老化进行建模,并相对于忽略了老化转换的现有建模方法,探索了其在C-OA上的意义。进行了拉格朗日,时间平均和瞬态室内模拟。时间平均模拟包括蒙特卡洛程序和灵敏度分析,使用美国住所的典型输入分布。结果表明,在室内,老化通常会导致C-OA升高。其显着程度取决于几个因素,最主要的是温度,OH暴露和OA质量负载。时间平均的C-OA在典型住宅中受到的影响最小(增加<5%)。但是,某些可能的情况可能会导致C-OA增强,例如在阳光照射的房间中,光解会促进大量的OH产生(大约增加20%),或者在短暂的OH产生清洁过程中(大约增加35%峰值) 。

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