M. Han*, R. Ooka, H. Kikumoto, W. Oh, Y. Bu, S. Hu. Experimental measurements of airflow features and velocity distribution exhaled from sneeze and speech using particle image velocimetry. (SCI检索)
发布时间：2021-08-29
点击次数：
- 论文类型：
- 期刊论文
- 论文编号：
- 108293
- 发表刊物：
- Building and Environment
- 收录刊物：
- SCI
- 学科门类：
- 工学
- 文献类型：
- J
- 卷号：
- 205
- 期号：
- November 2021
- 关键字：
- Sneeze; Speech; Velocity profile; Spread angle; Time-averaged velocity; Particle image velocimetry
- DOI码：
- 10.1016/j.buildenv.2021.108293
- 发表时间：
- 2021-08-26
- 影响因子：
- 6.456
- 摘要：
- Airflow exhaled from sneeze and speech is an important source of viruses and droplets in daily life and may cause imperceptible virus propagation. The velocities of sneeze and speech airflow exhaled from 10 healthy young participants repeatedly using high-frequency (2986 Hz) particle image velocimetry are measured. The parameters for describing the dynamic process of sneeze airflow, such as sneeze duration time (SDT), peak velocity time (PVT), maximum velocities, and sneeze spread angle, are analyzed. The sneeze airflow lasts 430 ms (SDT) and reaches the peak velocity in the first 20 ms (PVT). The maximum sneeze airflow velocity is approximately 15.9 m/s. The temporal variation of the sneeze velocity exhibits the gamma distribution. For speech airflow, the maximum instantaneous velocity and maximum time-averaged velocity are reported. The maximum instantaneous velocity is approximately 6.25 m/s, whereas the time-averaged value is only 0.208 m/s owing to the extremely small airflow velocity among syllables. The vertical/horizontal spread angles of the airflow are 15.1°/15.4° for sneeze and 52.9°/42.9° for speech. The difference in airflow features based on gender is generally slight for both sneeze and speech. Subsequently, an ensemble-average operation is conducted to obtain the general and representative velocity distributions. We report each component of the temporal and spatial velocity distributions of the sneeze airflow and the time-averaged velocity distribution of the speech airflow. These detailed distribution data can provide a comprehensive understanding of sneeze and speech airflow movement mechanisms as well as a detailed database for future sneeze and speech computational fluid dynamics simulations.