Infectious Risk Prevention and Control Methods of Small Open Space in Post-Epidemic Era - Risk Analysis of Airborne Transmission of Respiratory Infectious Diseases Based on CFD Wind Environment Simulation

Ruochen Yin, Jia Fang, Chun-Ming Hsieh
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Abstract

The close contact in small open space poses a great risk of airborne transmission infection in post-epidemic era. But we still don’t have a good model to estimate the risk quantitatively and decide what we can do to reduce infection rate in small open space design., In this study, CFD wind simulation is applied to predict the airflow distribution and virus transmission in different small open space scenarios, and the infectious probability of different positions is assessed by using the Wells-Riley equation. We found that the infectious probability is less than 0.0002% in small open space. But in poorly ventilated scenarios, areas with high-level infection risk are large, and there are aggregation areas of virus pollutant even at positions far from infectors. Reversing leeward environment to windward environment and moving the infectors to high wind speed position are two effective solutions to reduce infectious probability in small open space. The preliminary analysis can not only provide some reference for infectious risk in small open space, but also be of great significance to improve the air removal efficiency and provide places for residents to breathe freely.
后疫情时代小型开放空间感染风险防控方法——基于CFD风环境模拟的呼吸道传染病空气传播风险分析
疫情后时代,小型开放空间内的密切接触存在很大的空气传播感染风险。但我们仍然没有一个好的模型来定量估计风险,并决定我们可以做些什么来降低小型开放空间设计中的感染率。本研究采用CFD风场模拟方法,对不同小型开放空间场景下的气流分布和病毒传播进行预测,并利用Wells-Riley方程评估不同位置的感染概率。在小型开放空间内,感染概率小于0.0002%。但在通风不良的情况下,高感染风险区域较大,即使在远离感染者的位置也存在病毒污染物聚集区域。将背风环境转为迎风环境,将感染者移至风速较大的位置,是降低小型开放空间感染概率的两种有效解决方案。初步分析不仅可以为小型开放空间的感染风险提供一定的参考,而且对于提高空气的去除效率,为居民提供自由呼吸的场所具有重要意义。
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