Luo Qiqi, Ou Cuiyun, Hang Jian, Luo Zhiwen, Yang Hongyu, Yang Xia, Zhang Xuelin, Li Yuguo, Fan Xiaodan
School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China.
Key Laboratory of Tropical Atmosphere-Ocean System (Sun Yat-sen University), Ministry of Education, Zhuhai, 519000, China.
Build Environ. 2022 Jul 15;220:109160. doi: 10.1016/j.buildenv.2022.109160. Epub 2022 May 21.
The influencing mechanism of droplet transmissions inside crowded and poorly ventilated buses on infection risks of respiratory diseases is still unclear. Based on experiments of one-infecting-seven COVID-19 outbreak with an index patient at bus rear, we conducted CFD simulations to investigate integrated effects of initial droplet diameters(tracer gas, 5 μm, 50 μm and 100 μm), natural air change rates per hour( = 0.62, 2.27 and 5.66 h related to bus speeds) and relative humidity( = 35% and 95%) on pathogen-laden droplet dispersion and infection risks. Outdoor pressure difference around bus surfaces introduces natural ventilation airflow entering from bus-rear skylight and leaving from the front one. When = 0.62 h(idling state), the 30-min-exposure infection risk() of tracer gas is 15.3%(bus rear) - 11.1%(bus front), and decreases to 3.1%(bus rear)-1.3%(bus front) under = 5.66 h(high bus speed).The of large droplets(i.e., 100 μm/50 μm) is almost independent of , with a peak value(∼3.1%) near the index patient, because over 99.5%/97.0% of droplets deposit locally due to gravity. Moreover, 5 μm droplets can disperse further with the increasing ventilation. However, for 5 μm droplets at = 5.66 h stays relatively small for rear passengers(maximum 0.4%), and is even smaller in the bus middle and front(<0.1%). This study verifies that differing from general rooms, most 5 μm droplets deposit on the route through the long-and-narrow bus space with large-area surfaces(∼11.4 m). Therefore, tracer gas can only simulate fine droplet with little deposition but cannot replace 5-100 μm droplet dispersion in coach buses.
在拥挤且通风不良的公交车内,飞沫传播对呼吸道疾病感染风险的影响机制尚不清楚。基于一名新冠病毒感染者在公交车后部引发的一人感染七人的疫情实验,我们进行了计算流体动力学(CFD)模拟,以研究初始液滴直径(示踪气体、5μm、50μm和100μm)、每小时自然换气率(与公交车速度相关,分别为0.62、2.27和5.66次/小时)以及相对湿度(35%和95%)对携带病原体的液滴扩散和感染风险的综合影响。公交车表面周围的室外压差引入了自然通风气流,气流从公交车后部天窗进入,从前部天窗流出。当换气率为0.62次/小时(怠速状态)时,示踪气体30分钟暴露感染风险在公交车后部为15.3%,前部为11.1%;当换气率为5.66次/小时(公交车高速行驶)时,感染风险降至公交车后部3.1%,前部1.3%。大液滴(即100μm/50μm)的感染风险几乎与换气率无关,在感染者附近有一个峰值(约3.1%),因为超过99.5%/97.0%的液滴由于重力作用在局部沉积。此外,5μm的液滴会随着通风增强而进一步扩散。然而,在换气率为5.66次/小时时,公交车后部乘客接触5μm液滴的感染风险相对较小(最高0.4%),在公交车中部和前部甚至更小(<0.1%)。本研究证实,与普通房间不同,大多数5μm的液滴会沉积在狭长公交车空间内大面积表面(约11.4米)的路径上。因此,示踪气体只能模拟很少沉积的微小液滴,但无法替代长途客车中5 - 100μm液滴的扩散情况。