Cough Aerosol Cloud Parameters
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 expe...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
Subjects: | |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/94/e3sconf_fci2023_02003.pdf |
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author | Gavrilin Sergey N. Parfentyeva Natalia A. Parfentyev Nicolai A. Bykovskaya Irina D. |
author_facet | Gavrilin Sergey N. Parfentyeva Natalia A. Parfentyev Nicolai A. Bykovskaya Irina D. |
author_sort | Gavrilin Sergey N. |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-08T11:16:07Z |
format | Article |
id | doaj.art-2764d9c086c54cc8bd5dcd09d10c82fa |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-03-08T11:16:07Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-2764d9c086c54cc8bd5dcd09d10c82fa2024-01-26T10:35:44ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014570200310.1051/e3sconf/202345702003e3sconf_fci2023_02003Cough Aerosol Cloud ParametersGavrilin Sergey N.0Parfentyeva Natalia A.1Parfentyev Nicolai A.2Bykovskaya Irina D.3Moscow State University of Civil EngineeringMoscow State University of Civil EngineeringThe All-Russian Research Institute for Optical and Physical Measurements Federal State Unitary Enterprise (VNIIOFI)Moscow State University of Civil EngineeringThis 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/94/e3sconf_fci2023_02003.pdfaerosolexperimentvelocitycoughtemperatureflow |
spellingShingle | Gavrilin Sergey N. Parfentyeva Natalia A. Parfentyev Nicolai A. Bykovskaya Irina D. Cough Aerosol Cloud Parameters E3S Web of Conferences aerosol experiment velocity cough temperature flow |
title | Cough Aerosol Cloud Parameters |
title_full | Cough Aerosol Cloud Parameters |
title_fullStr | Cough Aerosol Cloud Parameters |
title_full_unstemmed | Cough Aerosol Cloud Parameters |
title_short | Cough Aerosol Cloud Parameters |
title_sort | cough aerosol cloud parameters |
topic | aerosol experiment velocity cough temperature flow |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/94/e3sconf_fci2023_02003.pdf |
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