Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96500
PIRA download icon_1.1View/Download Full Text
Title: Assessment of COVID-19 aerosol transmission in a university campus food environment using a numerical method
Authors: Zhao, M
Zhou, C
Chan, T 
Tu, C
Liu, Y
Yu, M
Issue Date: Nov-2022
Source: Geoscience frontiers , Nov. 2022, v. 13, no. 6, 101353
Abstract: With the prevalence of COVID-19, the phenomenon of viruses spreading through aerosols has become a focus of attention. Diners in university dining halls have a high risk of exposure to respiratory droplets from others without the protection of face masks, which greatly increases the risk of COVID-19 transmission. Therefore, the transmission mechanism of respiratory droplets in extremely crowded dining environments should be investigated. In this study, a numerical simulation of coughing at dining tables under two conditions was performed, namely the presence and absence of protective partitions, and the evaporation and condensation of aerosol droplets in the air were examined. By using the numerical method, we analyzed and verified the isolation effect of dining table partitions in the propagation of aerosol droplets. The effect of changes in room temperature on the diffusion of coughed aerosols when partitions were present was analyzed. We demonstrated how respiratory droplets spread through coughing and how these droplets affect others. Finally, we proposed a design for a dining table partition that minimizes the transmission of COVID-19.
Keywords: Computational fluid dynamics
Cough
COVID-19 transmission
Table partition
University dining hall
Publisher: Elsevier BV on behalf of China University of Geosciences
Journal: Geoscience frontiers 
EISSN: 1674-9871
DOI: 10.1016/j.gsf.2022.101353
Rights: © 2022 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
The following publication Zhao, M., Zhou, C., Chan, T., Tu, C., Liu, Y., & Yu, M. (2022). Assessment of COVID-19 aerosol transmission in a university campus food environment using a numerical method. Geoscience Frontiers, 101353 is available at https://doi.org/10.1016/j.gsf.2022.101353.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
1-s2.0-S1674987122000068-main.pdf4.21 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

64
Last Week
2
Last month
Citations as of Apr 28, 2024

Downloads

34
Citations as of Apr 28, 2024

SCOPUSTM   
Citations

13
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

11
Citations as of May 2, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.