Simulation-based study of COVID-19 outbreak associated with air-conditioning in a restaurant.
Simulation-based study of COVID-19 outbreak associated with air-conditioning in a restaurant.
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DOI：
10.1063/5.0040188
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发表时间：
2021-02-01
期刊：
影响因子：
--
通讯作者：
Hong J
中科院分区：
文献类型：
--
作者：
Liu H;He S;Shen L;Hong J
越来越多的证据表明，COVID-19通过携带病毒的气溶胶传播的可能性很高。然而，仍然缺乏详细的调查，气溶胶运输和病毒感染之间的直接联系。为了填补这一差距，我们对一家餐厅的室内气流和相关气溶胶传输进行了系统的基于计算流体动力学（CFD）的调查，媒体广泛报道了由无症状个体引起的可能由气流诱导的COVID-19感染病例。我们采用了先进的内部大涡模拟求解器和其他先进的数值方法来解决复杂的室内过程，包括湍流，流动-气溶胶相互作用，热效应和空调过滤效果。使用气溶胶暴露指数来自模拟，我们能够提供一个空间地图的空气传播感染的风险在不同的设置。我们的研究结果表明，气溶胶暴露指数高的地区和报告的感染模式在餐厅之间有显着的直接联系，提供了强有力的支持，空气传播发生在这个广泛报道的事件。利用流动结构分析和气溶胶轨迹的逆时追踪，我们能够进一步查明环境参数对感染风险的影响，并强调需要采取更有效的预防措施，例如，根据当地流动模式放置屏蔽。因此，我们的研究证明了高保真CFD工具在空气传播感染风险评估和制定有效预防措施方面的能力和价值。
COVID-19 has shown a high potential of transmission via virus-carrying aerosols as supported by growing evidence. However, detailed investigations that draw direct links between aerosol transport and virus infection are still lacking. To fill in the gap, we conducted a systematic computational fluid dynamics (CFD)-based investigation of indoor airflow and the associated aerosol transport in a restaurant setting, where likely cases of airflow-induced infection of COVID-19 caused by asymptomatic individuals were widely reported by the media. We employed an advanced in-house large eddy simulation solver and other cutting-edge numerical methods to resolve complex indoor processes simultaneously, including turbulence, flow–aerosol interplay, thermal effect, and the filtration effect by air conditioners. Using the aerosol exposure index derived from the simulation, we are able to provide a spatial map of the airborne infection risk under different settings. Our results have shown a remarkable direct linkage between regions of high aerosol exposure index and the reported infection patterns in the restaurant, providing strong support to the airborne transmission occurring in this widely reported incident. Using flow structure analysis and reverse-time tracing of aerosol trajectories, we are able to further pinpoint the influence of environmental parameters on the infection risks and highlight the need for more effective preventive measures, e.g., placement of shielding according to the local flow patterns. Our research, thus, has demonstrated the capability and value of high-fidelity CFD tools for airborne infection risk assessment and the development of effective preventive measures.
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影响因子：
8.4
作者：
Lednickya, John A.;Lauzardo, Michael;Wu, Chang-Yu
通讯作者：
Wu, Chang-Yu
影响因子：
5
作者：
Bailey, Brian N.;Stoll, Rob;Mahaffee, Walter F.
通讯作者：
Mahaffee, Walter F.
DOI：
10.1063/5.0022859
发表时间：
2020-09-01
期刊：
Physics of fluids (Woodbury, N.Y. : 1994)
影响因子：
--
作者：
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通讯作者：
Greco V
影响因子：
11.8
作者：
Buonanno, G.;Stabile, L.;Morawska, L.
通讯作者：
Morawska, L.
影响因子：
4.6
作者：
Dbouk, Talib;Drikakis, Dimitris
通讯作者：
Drikakis, Dimitris