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Measurements of exhaled airflow velocity through human coughs using particle image velocimetry
Building and Environment ( IF 7.4 ) Pub Date : 2021-06-09 , DOI: 10.1016/j.buildenv.2021.108020
Mengtao Han 1 , Ryozo Ooka 2 , Hideki Kikumoto 2 , Wonseok Oh 2 , Yunchen Bu 3 , Shuyuan Hu 3
Affiliation  

The sudden outbreak of coronavirus (COVID-19) has infected over 100 million people and led to over two million deaths (data in January 2021), posing a significant threat to global human health. As a potential carrier of the novel coronavirus, the exhaled airflow of infected individuals through coughs is significant in virus transmission. The research of detailed airflow characteristics and velocity distributions is insufficient because most previous studies utilize particle image velocimetry (PIV) with low frequency. This study measured the airflow velocity of human coughs in a chamber using PIV with high frequency (interval: 1/2986 s) to provide a detailed validation database for droplet propagation CFD simulation. Sixty cough cases for ten young healthy nonsmoking volunteers (five males and five females) were analyzed. Ensemble-average operations were conducted to eliminate individual variations. Vertical and horizontal velocity distributions were measured around the mouth area. Overall cough characteristics such as cough duration time (CDT), peak velocity time (PVT), maximum velocities, and cough spread angle were obtained. The CDT of the cough airflow was 520–560 m s, while PVT was 20 m s. The male/female averaged maximum velocities were 15.2/13.1 m/s. The average vertical/horizontal cough spread angle was 15.3°/13.3° for males and 15.6°/14.2° for females. In addition, the spatial and temporal distributions of ensemble-averaged velocity profiles were obtained in the vertical and horizontal directions. The experimental data can provide a detailed validation database the basis for further study on the influence of cough airflow on virus transmission using computational fluid dynamic simulations.



中文翻译:

使用粒子图像测速仪测量人体咳嗽时呼出的气流速度

突如其来的新型冠状病毒肺炎(COVID-19)疫情已感染超过1亿人,导致超过200万人死亡(2021年1月数据),对全球人类健康构成重大威胁。作为新型冠状病毒的潜在携带者,感染者通过咳嗽呼出的气流在病毒传播中具有重要意义。详细的气流特性和速度分布的研究是不够的,因为大多数以前的研究使用低频率的粒子图像测速(PIV)。本研究使用高频 PIV(间隔:1/2986 秒)测量室内人体咳嗽的气流速度,为液滴传播 CFD 模拟提供详细的验证数据库。分析了 10 名年轻健康不吸烟志愿者(5 名男性和 5 名女性)的 60 例咳嗽病例。进行整体平均操作以消除个体差异。在嘴部区域周围测量垂直和水平速度分布。获得咳嗽持续时间 (CDT)、峰值速度时间 (PVT)、最大速度和咳嗽扩散角等总体咳嗽特征。咳嗽气流的 CDT 为 520-560 m·s,而 PVT 为 20 m·s。男性/女性的平均最大速度为 15.2/13.1 m/s。男性的平均垂直/水平咳嗽传播角为 15.3°/13.3°,女性为 15.6°/14.2°。此外,在垂直和水平方向上获得了集合平均速度剖面的空间和时间分布。

更新日期:2021-06-22
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