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人体暴露于环境烟草烟雾中车内细颗粒物(PM2.5)的模型研究

MODELING OF HUMAN EXPOSURE TO IN-VEHICLE PM(2.5) FROM ENVIRONMENTAL TOBACCO SMOKE.

作者信息

Cao Ye, Frey H Christopher

机构信息

Department of Civil, Construction and Environmental Engineering, North Carolina State University, Campus Box 7908, Raleigh, NC 27695-7908, (O) (919) 515-4232, (F) (919) 515-7908,

出版信息

Hum Ecol Risk Assess. 2012 Jan 1;18(3):608-626. doi: 10.1080/10807039.2012.672894. Epub 2012 May 21.

DOI:10.1080/10807039.2012.672894
PMID:23060732
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3467112/
Abstract

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.

摘要

据估计,环境烟草烟雾(ETS)是导致车内人员接触2.5微米及更小的细颗粒物(PM2.5)的一个重要因素。对用于估算机动车内吸烟时PM2.5浓度的质量平衡模型进行了严格评估。基于文献综述,给出了质量平衡模型输入范围的建议。采用敏感性分析来确定哪些输入应优先进行数据收集。空气交换率(ACH)和沉积率的相对变化范围比其他输入更宽,分别代表操作中的个体差异和车辆性能中的车辆间差异。吸烟和排放率以及车内容积也是关键输入。车内ETS质量平衡模型被纳入颗粒物随机人体暴露和剂量模拟(SHEDS-PM)模型,以量化车内ETS暴露的潜在程度和变异性。车内暴露还考虑了道路排放导致的近路增量PM2.5浓度。概率研究结果表明,ETS是车内平均暴露和高端暴露的关键因素。减轻车内环境PM2.5暴露的因素会导致车内ETS暴露增加,反之亦然。

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Particle Concentrations Inside a Tavern Before and After Prohibition of Smoking: Evaluating the Performance of an Indoor Air Quality Model.禁烟前后酒馆内的颗粒物浓度:评估室内空气质量模型的性能
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