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Determination of the optimal penetration factor for evaluating the invasion process of aerosols from a confined source space to an uncontaminated area

Due to the outbreak and spread of COVID-19, SARS-CoV-2 has been proven to survive in aerosols for hours. Virus-containing aerosols may intrude into an uncontaminated area from a confined source space under certain ventilated conditions. The penetration factor, which is the most direct parameter for...

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Autores principales: Wang, Wenlu, Yoneda, Minoru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284267/
https://www.ncbi.nlm.nih.gov/pubmed/32559547
http://dx.doi.org/10.1016/j.scitotenv.2020.140113
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author Wang, Wenlu
Yoneda, Minoru
author_facet Wang, Wenlu
Yoneda, Minoru
author_sort Wang, Wenlu
collection PubMed
description Due to the outbreak and spread of COVID-19, SARS-CoV-2 has been proven to survive in aerosols for hours. Virus-containing aerosols may intrude into an uncontaminated area from a confined source space under certain ventilated conditions. The penetration factor, which is the most direct parameter for evaluating the invasion process, can effectively reflect the penetration fraction of aerosols and the shielding efficiency of buildings. Based on the observed concentrations of aerosols combined with a widely used concentration model, four numerical calculations of the penetration factor are proposed in this study. A theoretical time-correction P(est) was applied to a size-dependent P(avg) by proposing a correction coefficient r, and the error analysis of the real-time P(t) and the derived P(d) were also performed. The results indicated that P(avg) supplied the most stable values for laboratory penetration simulations. However, the time-correction is of little significance under current experimental conditions. P(t) and P(d) are suitable for rough evaluation under certain conditions due to the inevitability of particles detaching and re-entering after capture. The proposed optimal penetration factor and the error analysis of each method in this study can provide insight into the penetration mechanism, and also provide a rapid and accurate assessment method for preventing and controlling the spread of the epidemic.
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spelling pubmed-72842672020-06-10 Determination of the optimal penetration factor for evaluating the invasion process of aerosols from a confined source space to an uncontaminated area Wang, Wenlu Yoneda, Minoru Sci Total Environ Article Due to the outbreak and spread of COVID-19, SARS-CoV-2 has been proven to survive in aerosols for hours. Virus-containing aerosols may intrude into an uncontaminated area from a confined source space under certain ventilated conditions. The penetration factor, which is the most direct parameter for evaluating the invasion process, can effectively reflect the penetration fraction of aerosols and the shielding efficiency of buildings. Based on the observed concentrations of aerosols combined with a widely used concentration model, four numerical calculations of the penetration factor are proposed in this study. A theoretical time-correction P(est) was applied to a size-dependent P(avg) by proposing a correction coefficient r, and the error analysis of the real-time P(t) and the derived P(d) were also performed. The results indicated that P(avg) supplied the most stable values for laboratory penetration simulations. However, the time-correction is of little significance under current experimental conditions. P(t) and P(d) are suitable for rough evaluation under certain conditions due to the inevitability of particles detaching and re-entering after capture. The proposed optimal penetration factor and the error analysis of each method in this study can provide insight into the penetration mechanism, and also provide a rapid and accurate assessment method for preventing and controlling the spread of the epidemic. Elsevier B.V. 2020-10-20 2020-06-10 /pmc/articles/PMC7284267/ /pubmed/32559547 http://dx.doi.org/10.1016/j.scitotenv.2020.140113 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Wang, Wenlu
Yoneda, Minoru
Determination of the optimal penetration factor for evaluating the invasion process of aerosols from a confined source space to an uncontaminated area
title Determination of the optimal penetration factor for evaluating the invasion process of aerosols from a confined source space to an uncontaminated area
title_full Determination of the optimal penetration factor for evaluating the invasion process of aerosols from a confined source space to an uncontaminated area
title_fullStr Determination of the optimal penetration factor for evaluating the invasion process of aerosols from a confined source space to an uncontaminated area
title_full_unstemmed Determination of the optimal penetration factor for evaluating the invasion process of aerosols from a confined source space to an uncontaminated area
title_short Determination of the optimal penetration factor for evaluating the invasion process of aerosols from a confined source space to an uncontaminated area
title_sort determination of the optimal penetration factor for evaluating the invasion process of aerosols from a confined source space to an uncontaminated area
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284267/
https://www.ncbi.nlm.nih.gov/pubmed/32559547
http://dx.doi.org/10.1016/j.scitotenv.2020.140113
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