Shao Siyao, Zhou Dezhi, He Ruichen, Li Jiaqi, Zou Shufan, Mallery Kevin, Kumar Santosh, Yang Suo, Hong Jiarong
Department of Mechanical Engineering, 111 Church ST SE, University of Minnesota, Minneapolis, MN, 55414, USA.
Saint Anthony Falls Laboratory, 2 3rd AVE SE, University of Minnesota, Minneapolis, MN, 55414, USA.
J Aerosol Sci. 2021 Jan;151:105661. doi: 10.1016/j.jaerosci.2020.105661. Epub 2020 Sep 16.
The lack of quantitative risk assessment of airborne transmission of COVID-19 under practical settings leads to large uncertainties and inconsistencies in our preventive measures. Combining measurements and computational fluid dynamics simulations, we quantify the exhaled particles from normal respiratory behaviors and their transport under elevator, small classroom, and supermarket settings to evaluate the risk of inhaling potentially virus-containing particles. Our results show that the design of ventilation is critical for reducing the risk of particle encounters. Inappropriate design can significantly limit the efficiency of particle removal, create local hot spots with orders of magnitude higher risks, and enhance particle deposition causing surface contamination. Additionally, our measurements reveal the presence of a substantial fraction of faceted particles from normal breathing and its strong correlation with breathing depth.
在实际环境中缺乏对新冠病毒空气传播的定量风险评估,导致我们的预防措施存在很大的不确定性和不一致性。我们结合测量和计算流体动力学模拟,对正常呼吸行为呼出的颗粒及其在电梯、小教室和超市环境中的传播进行量化,以评估吸入潜在含病毒颗粒的风险。我们的结果表明,通风设计对于降低颗粒接触风险至关重要。不当的设计会显著限制颗粒去除效率,产生风险高出几个数量级的局部热点,并增加颗粒沉积导致表面污染。此外,我们的测量揭示了正常呼吸中存在相当一部分多面颗粒,并且其与呼吸深度密切相关。