Department of Civil, Architectural and Environmental Engineering, The University of Texas, Austin, Texas, USA.
J Occup Environ Hyg. 2013;10(6):328-35. doi: 10.1080/15459624.2013.782198.
In this study, modifications were made to previously applied two-zone models to address important factors that can affect exposures during cleaning tasks. Specifically, we expand on previous applications of the two-zone model by (1) introducing the source in discrete elements (source-cells) as opposed to a complete instantaneous release, (2) placing source cells in both the inner (near person) and outer zones concurrently, (3) treating each source cell as an independent mixture of multiple constituents, and (4) tracking the time-varying liquid concentration and emission rate of each constituent in each source cell. Three experiments were performed in an environmentally controlled chamber with a thermal mannequin and a simplified pure chemical source to simulate emissions from a cleaning product. Gas phase concentration measurements were taken in the bulk air and in the breathing zone of the mannequin to evaluate the model. The mean ratio of the integrated concentration in the mannequin's breathing zone to the concentration in the outer zone was 4.3 (standard deviation, σ = 1.6). The mean ratio of measured concentration in the breathing zone to predicted concentrations in the inner zone was 0.81 (σ = 0.16). Intake fractions ranged from 1.9 × 10(-3) to 2.7 × 10(-3). Model results reasonably predict those of previous exposure monitoring studies and indicate the inadequacy of well-mixed single-zone model applications for some but not all cleaning events.
在这项研究中,对先前应用的两区域模型进行了修改,以解决可能影响清洁任务期间暴露的重要因素。具体而言,我们通过以下方式扩展了两区域模型的先前应用:(1)将源离散为单元(源细胞),而不是完全瞬时释放;(2)同时在内部(靠近人)和外部区域放置源细胞;(3)将每个源细胞视为多种成分的独立混合物;(4)跟踪每个源细胞中每种成分的时变液体浓度和排放率。在环境控制室内进行了三项实验,使用热人体模型和简化的纯化学源模拟清洁产品的排放。在整个空气中和人体模型的呼吸区进行了气相浓度测量,以评估模型。人体模型呼吸区积分浓度与外部区浓度的平均值比为 4.3(标准偏差,σ=1.6)。测量的呼吸区浓度与内区预测浓度的平均值比为 0.81(σ=0.16)。摄入分数范围为 1.9×10(-3) 至 2.7×10(-3)。模型结果合理地预测了先前暴露监测研究的结果,并表明在某些但不是所有清洁事件中,充分混合的单区域模型应用是不充分的。