张雪艳, 贾宁, 曲颖, 徐擎, 田昊渊, 周晓滢, 孙新. 应用计算流体动力学方法估测医院急诊大厅颗粒物分布特征的研究[J]. 环境卫生学杂志, 2024, 14(5): 384-392. DOI: 10.13421/j.cnki.hjwsxzz.2024.05.003
    引用本文: 张雪艳, 贾宁, 曲颖, 徐擎, 田昊渊, 周晓滢, 孙新. 应用计算流体动力学方法估测医院急诊大厅颗粒物分布特征的研究[J]. 环境卫生学杂志, 2024, 14(5): 384-392. DOI: 10.13421/j.cnki.hjwsxzz.2024.05.003
    ZHANG Xue-yan, JIA Ning, QU Ying, XU Qing, TIAN Hao-yuan, ZHOU Xiao-ying, SUN Xin. Distribution characteristics of particulate matter in hospital emergency hall: a study based on the computational fluid dynamics method[J]. Journal of Environmental Hygiene, 2024, 14(5): 384-392. DOI: 10.13421/j.cnki.hjwsxzz.2024.05.003
    Citation: ZHANG Xue-yan, JIA Ning, QU Ying, XU Qing, TIAN Hao-yuan, ZHOU Xiao-ying, SUN Xin. Distribution characteristics of particulate matter in hospital emergency hall: a study based on the computational fluid dynamics method[J]. Journal of Environmental Hygiene, 2024, 14(5): 384-392. DOI: 10.13421/j.cnki.hjwsxzz.2024.05.003

    应用计算流体动力学方法估测医院急诊大厅颗粒物分布特征的研究

    Distribution characteristics of particulate matter in hospital emergency hall: a study based on the computational fluid dynamics method

    • 摘要:
      目的 基于室内场所的空间几何构型、风速、颗粒物浓度和环境温度测量值, 阐述空气中颗粒物浓度、悬浮时间等分布规律。
      方法 现场测量医院急诊大厅的空间及其中大型设施的尺寸, 测量环境中颗粒物数量浓度、温度、风速, 场所空间尺寸用于构建模型, 环境检测参数用于确定模型的边界条件和验证模型的正确性。基于格子波尔曼方法(Lattice Boltzmann Method, LBM)计算颗粒物运动, 应用对流扩散方程计算空调送风系统出风口处颗粒物浓度的变化, 离散相模型(discrete phase model, DPM)用于计算颗粒物在流场的运动情况。
      结果 环境检测表明空调送风系统出口风速与室内颗粒物数量浓度呈负相关, 人群聚集的候诊区颗粒物数量浓度高于诊室(P值均<0.05)。通过建立的数学模型进行仿真计算, 仿真相对浓度未超过实测相对浓度的x±s范围, 候诊人群使局部颗粒物浓度升高, 候诊区人员咳嗽呼出气中的颗粒物可以在15 s内传播给周围的人, 呼出气中60%的颗粒物悬浮时间可持续几分钟或更长时间。
      结论 改变模型中的空间几何尺寸和环境检测参数可以用于计算不同室内场所中颗粒物的分布情况, 仿真结果与实测结果具有可比性, 数学计算结果可支持环境呼吸危害防控管理措施的制定。

       

      Abstract:
      Objective To investigate the distribution of particulate matter in terms of concentration and suspension time based on the measurements of spatial geometry, wind speed, particulate matter concentration, and ambient temperature of indoor places.
      Methods The space of the emergency hall and the size of the medium and large facilities in the hospital were measured on site, and the number concentration of particulate matters, temperature, and wind speed in the environment were measured. The space size of the site was used to construct a model, and the environmental detection parameters were used to determine the boundary conditions of the model and verify the correctness of the model. The Lattice Boltzmann Method (LBM) was used to calculate the movement of particulate matter, and the convection-diffusion equation was used to calculate the change in the concentration of particulate matter at the outlet of the air supply system. The Discrete Phase Model was used to calculate the movement of particulate matter in the flow field.
      Results Environmental detection showed that the wind speed at the outlet of the air supply system was negatively correlated with the number concentration of indoor particulate matter (P < 0.05), and the number concentration of particulate matter in the waiting area was significantly higher than that in the consulting room (P < 0.05). Simulating calculation was performed based on the mathematical model established, and the results of simulation calculation were comparable to the field measured data. Waiting crowds increased the local concentration of particulate matter. The particulate matter in the exhaled breath of the people in the waiting area could be spread to the people around within 15 seconds, and 60% of the particulate matter in the exhaled breath had a suspension time of several minutes or longer.
      Conclusion Changing the spatial geometry and environmental detection parameters in the model can be used to calculate the distribution of particulate matter in different indoor places. The results of simulation calculation are comparable to the measured results, and the mathematical calculation results can support the formulation of prevention and control management measures for environmental respiratory hazards.

       

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