CO(2) concentration as an indicator of indoor ventilation performance to control airborne transmission of SARS-CoV-2

二氧化碳(2)浓度作为室内通风性能的指标,用于控制SARS-CoV-2的空气传播

阅读:2

Abstract

BACKGROUND: The Wells-Riley equation has been extensively used to quantify the infection risk of airborne transmission indoors. This equation is difficult to apply to actual conditions because it requires measurement of the outdoor air supply rate, which vary with time and are difficult to quantify. The method of determining the fraction of inhaled air that has been exhaled previously by someone in a building using a CO(2) concentration measurement can solve the limitations of the existing method. Using this method, the indoor CO(2) concentration threshold can be determined to keep the risk of infection below certain conditions. METHODS: Based on the calculation of the rebreathed fraction, an appropriate mean indoor CO(2) concentration and required air exchange rate to control SARS-CoV-2 airborne transmission was calculated. The number of indoor occupants, ventilation rate, and the deposition and inactivation rates of the virus-laden aerosols were considered. The application of the proposed indoor CO(2) concentration-based infection rate control was investigated through case studies in school classrooms and restaurants. RESULTS: In a typical school classroom environment with 20-25 occupants and an exposure time of 6-8 h, the average indoor CO(2) concentration should be kept below 700 ppm to control the risk of airborne infection indoors. The ASHRAE recommended ventilation rate is sufficient when wearing a mask in classrooms. For a typical restaurant with 50-100 occupants and an exposure time of 2-3 h, the average indoor CO(2) concentration should be kept below about 900 ppm. Residence time in the restaurant had a significant effect on the acceptable CO(2) concentration. CONCLUSION: Given the conditions of the occupancy environment, it is possible to determine an indoor CO(2) concentration threshold, and keeping the CO(2) concentration lower than a certain threshold could help reduce the risk of COVID-19 infection.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。