Cough Aerosol Cloud Parameters

Author:

Gavrilin Sergey N.,Parfentyeva Natalia A.,Parfentyev Nicolai A.,Bykovskaya Irina D.

Abstract

This work is a further development of the authors' COVID-19 pandemic consequences research. The dynamics of the cough aerosol cloud was studied. An experimental setup for fixing spatial and temporal distributions of aerosol cloud velocities was used. Flags were placed on the threads of the experimental setup. On the first and second frames, the area and shape of the flags were different. The process of air passing through the frames was recorded by photographic equipment. The footage was compared by a computer program to identify differences.The results of an experiment with five adults (18–22 years, men), volunteered for study participation, are presented. The method of aerosol cloud visualization is applied. The dynamic parameters of the aerosol cloud are estimated. The velocity of the air flow arising from coughing was measured. The shape of the flow was determined depending on the time. It was found that the flow front moves with acceleration at the initial stage of propagation and with a constant velocity at the final stage. A nonlinear dependence of the change in the volume of cough air flow aerosol on time was established.

Publisher

EDP Sciences

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3