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Evaluation of airborne disease infection risks in an airliner cabin using the Lagrangian-based Wells-Riley approach

机译：基于拉格朗日的Wells-Riley方法评估客机中的空气传播疾病感染风险

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摘要

An urgent demand of assessing passengers' exposure risks in airliner cabins was raised as commercial airliners are one of the major media that carrying and transmitting infectious disease worldwide. In this study, simulations were conducted using a Boeing 737 cabin model to study the transport characteristics of airbbrne droplets and the associated infection risks of passengers. The numerical results of the airflow field Were firstly compared against the experimental data in the literature to validate the reliability of the simulations. Airborne droplets were assumed to be released by passengers through coughing and their transport characteristics were modelled using the Lagrangian approach. Numerical results found that the particle travel distance was very sensitive to the release locations, and the impact was more significant along the longitudinal and horizontal directions. Particles released by passengers sitting next to the windows could travel much further than the others. A quantifiable approach was then applied to assess the individual infection risks of passengers. The key particle transport information such as the particle residence time yielded from the Lagrangian tracking process was extracted and integrated into the Wells Riley equation to estimate the risks of infection. Compared to the Eulerian-based approach, the Lagrangian-based approach presented in this study is more robust as it addresses both the particle concentration and particle residence time in the breathing zone of every individual passenger. (C) 2017 Elsevier Ltd. All rights reserved.
机译：由于商业客机是全世界携带和传播传染病的主要媒体之一，因此迫切需要评估乘客在客舱中的暴露风险。在这项研究中，使用波音737机舱模型进行了模拟，以研究机翼飞沫的运输特性以及相关的乘客感染风险。首先将气流场的数值结果与文献中的实验数据进行比较，以验证模拟的可靠性。假定乘客通过咳嗽释放了机载飞沫，并使用拉格朗日方法对它们的运输特性进行了建模。数值结果表明，颗粒的行进距离对释放位置非常敏感，并且沿纵向和水平方向的影响更大。坐在窗户旁边的乘客释放的微粒可能比其他微粒传播得更远。然后采用一种量化方法来评估乘客的个人感染风险。提取了关键的粒子传输信息，例如拉格朗日跟踪过程产生的粒子停留时间，并将其整合到Wells Riley方程中，以估计感染的风险。与基于欧拉的方法相比，本研究中基于拉格朗日的方法更加健壮，因为它可以解决每个乘客在呼吸区域中的颗粒浓度和颗粒停留时间。 （C）2017 Elsevier Ltd.保留所有权利。

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  • 来源
    《Building and Environment》 |2017年第8期|79-92|共14页
  • 作者

    Yan Yihuan; Li Xiangdong; Shang Yidan; Tu Jiyuan;

  • 作者单位

    RMIT Univ, Sch Engn, POB 71, Bundoora, Vic 3083, Australia;

    RMIT Univ, Sch Engn, POB 71, Bundoora, Vic 3083, Australia;

    RMIT Univ, Sch Engn, POB 71, Bundoora, Vic 3083, Australia;

    RMIT Univ, Sch Engn, POB 71, Bundoora, Vic 3083, Australia|Tsinghua Univ, Inst Nucl & New Energy Technol, Key Lab, Minist Educ Adv Reactor Engn & Safety, POB 1021, Beijing 100086, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CFD; Lagrangian; Infection risks; Airliner cabins; Airborne particles; Wells-riley;

    机译：差价合约（CFD）;拉格朗日（Lagrangian）;感染风险;客舱;机载微粒;威尔斯莱利（Wells-riley）;

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