Anthony T Renée
Department of Occupational and Environmental Health, University of Iowa, Iowa City, 52242-5000, USA.
Ann Occup Hyg. 2010 Aug;54(6):710-25. doi: 10.1093/annhyg/meq040. Epub 2010 May 10.
To examine whether the actual dimensions of human facial features are important to the development of a low-velocity inhalable particulate mass sampling criterion, this study evaluated the effect of facial feature dimensions (nose and lips) on estimates of aspiration efficiency of inhalable particles using computational fluid dynamics modeling over a range of indoor air and breathing velocities. Fluid flow and particle transport around four humanoid forms with different facial feature dimensions were simulated. All forms were facing the wind (0.2, 0.4 m s(-1)), and breathing was simulated with constant inhalation (1.81, 4.3, 12.11 m s(-1)). The fluid flow field was solved using standard k-epsilon turbulence equations, and laminar particle trajectories were used to determine critical areas defining inhaled particles. The critical areas were then used to compute the aspiration efficiency of the mouth-breathing humanoid. One-tailed t-tests indicated that models with larger nose and lip features resulted in significantly lower aspiration efficiencies than geometries with smaller features, but the shape of the orifice into the mouth (rounded rectangle versus elliptical) had no effect on aspiration efficiency. While statistically significant, the magnitudes of differences were small: on average, the large nose reduced aspiration efficiency by 6.5% and the large lips reduced aspiration efficiency by 3.2%. In comparison, a change in breathing velocity from at-rest to heavy increased aspiration efficiency by an average of 21% over all particle sizes, indicating a much greater impact of aspiration efficiency on breathing rate in the facing-the-wind orientation. Linear regression models confirmed that particle diameter and breathing velocity were significant predictors to the aspiration fraction, while the facial feature dimensions were not significant contributors to a unifying model. While these effects may be less pronounced as the orientation changes from facing-the-wind, their impact confirms the importance of breathing velocity and, to a lesser extent, facial feature dimensions on exposure estimates in low freestream velocities typical of occupational environments.
为研究人类面部特征的实际尺寸对低速可吸入颗粒物质量采样标准的制定是否重要,本研究使用计算流体动力学模型,在一系列室内空气和呼吸速度范围内,评估了面部特征尺寸(鼻子和嘴唇)对可吸入颗粒物吸入效率估计值的影响。模拟了四种具有不同面部特征尺寸的类人模型周围的流体流动和颗粒传输。所有模型均迎风(0.2、0.4米/秒),并以恒定吸入速度(1.81、4.3、12.11米/秒)模拟呼吸。使用标准k-ε湍流方程求解流体流场,并使用层流颗粒轨迹来确定定义吸入颗粒的关键区域。然后使用这些关键区域来计算口呼吸类人模型的吸入效率。单尾t检验表明,具有较大鼻子和嘴唇特征的模型产生的吸入效率明显低于具有较小特征的几何形状,但口腔入口的形状(圆角矩形与椭圆形)对吸入效率没有影响。虽然差异具有统计学意义,但差异幅度较小:平均而言,大鼻子使吸入效率降低了6.5%,大嘴唇使吸入效率降低了3.2%。相比之下,从静息呼吸到剧烈呼吸时呼吸速度的变化使所有粒径的吸入效率平均提高了21%,这表明在迎风方向上,呼吸速度对吸入效率的影响要大得多。线性回归模型证实,颗粒直径和呼吸速度是吸入分数的重要预测因子,而面部特征尺寸对统一模型的贡献不显著。虽然随着方向从迎风方向改变,这些影响可能不那么明显,但其影响证实了呼吸速度以及在较小程度上面部特征尺寸对职业环境中典型的低自由流速度下暴露估计的重要性。