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Modeling of Human Exposure to In-Vehicle PM_(2.5) from Environmental Tobacco Smoke

机译:人类从环境烟草烟雾中暴露于车内PM_(2.5)的模型

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摘要

Environmental tobacco smoke (ETS) is estimated to be a significant contributor to in-vehicle human exposure to fine particulate matter of 2.5 μm or smaller (PM_(2.5)). A critical assessment was conducted of a mass balance model for estimating PM_(2.5) concentration with smoking in a motor vehicle. Recommendations for the range of inputs to the mass-balance model are given based on literature review. Sensitivity analysis was used to determine which inputs should be prioritized for data collection. Air exchange rate (ACH) and the deposition rate have wider relative ranges of variation than other inputs, representing inter-individual variability in operations, and inter-vehicle variability in performance, respectively. Cigarette smoking and emission rates and vehicle interior volume are also key inputs. The in-vehicle ETS mass balance model was incorporated into the Stochastic Human Exposure and Dose Simulation for Particulate Matter (SHEDS-PM) model to quantify the potential magnitude and variability of in-vehicle exposures to ETS. The in-vehicle exposure also takes into account near-road incremental PM_(2.5) concentration from on-road emissions. Results of probabilistic study indicate that ETS is a key contributor to the in-vehicle average and high-end exposure. Factors that mitigate in-vehicle ambient PM_(2.5) exposure lead to higher in-vehicle ETS exposure, and vice versa.
机译:据估计,环境烟草烟雾(ETS)是导致车载人类接触2.5μm或更小的细颗粒物质的重要原因(PM_(2.5))。对质量平衡模型进行了严格的评估,以估算机动车中吸烟引起的PM_(2.5)浓度。根据文献综述,对质量平衡模型的输入范围提出了建议。敏感度分析用于确定应优先收集哪些输入数据。空气交换速率(ACH)和沉积速率的变化范围比其他输入值要大,分别代表操作中的个体间变化和性能上的车辆间变化。香烟吸烟和排放率以及车辆内部容积也是关键输入。车载ETS质量平衡模型已被纳入随机人体颗粒物剂量和剂量模拟(SHEDS-PM)模型,以量化车载暴露于ETS的潜在幅度和可变性。车内暴露还考虑了由于道路排放而产生的近道路增量PM_(2.5)浓度。概率研究的结果表明,ETS是车内平均和高端暴露的关键因素。减轻车载环境PM_(2.5)暴露的因素会导致较高的车载ETS暴露,反之亦然。

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