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Article
Srinivasan Anand
Bhabha Atomic Research Centre
Corresponding Author
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In the ongoing COVID-19 pandemic situation, exposure assessment and control strategies for aerosol transmission path are feebly understood. A recent study pointed out that Poissonian fluctuations in viral loading of airborne droplets significantly modifies the size spectrum of the virus laden droplets (termed as “virusol”). Herein we develop theory of residence time of the virusols, as contrasted with clean droplets in indoor air using a comprehensive “Falling-to-Mixing-plateout” model that considers all the important processes. This model fills the existing gap between Wells falling drop model and the stirred chamber models. The effect of various parameters on mean residence time are examined in detail. Significantly, the mean residence time of virusols is found to increase nonlinearly with the viral load in the ejecta, ranging from ~125 s at low viral loads (<104/mL) to about 1150 s at high viral loads (>1011/mL). The implications are further discussed.
Keywords
COVID-19, aerosol, residence time, evaporation, indoor transport
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The full text of this article is available to read as a PDF.
There is NO Competing Interest.
This is a list of supplementary files associated with this preprint. Click to download.
- SupplementaryInformation.docx
Supplementary Information (SI): 1. Derivation of analytical solution for the 1-D and 3-D theoretical models, and comparison of their results. 2. Table S2: Input Parameters & constants
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Article
Srinivasan Anand
Bhabha Atomic Research Centre
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
View the published article at Indoor Air.
Version 1
Posted 11 Jan, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Indoor Air.
In the ongoing COVID-19 pandemic situation, exposure assessment and control strategies for aerosol transmission path are feebly understood. A recent study pointed out that Poissonian fluctuations in viral loading of airborne droplets significantly modifies the size spectrum of the virus laden droplets (termed as “virusol”). Herein we develop theory of residence time of the virusols, as contrasted with clean droplets in indoor air using a comprehensive “Falling-to-Mixing-plateout” model that considers all the important processes. This model fills the existing gap between Wells falling drop model and the stirred chamber models. The effect of various parameters on mean residence time are examined in detail. Significantly, the mean residence time of virusols is found to increase nonlinearly with the viral load in the ejecta, ranging from ~125 s at low viral loads (<104/mL) to about 1150 s at high viral loads (>1011/mL). The implications are further discussed.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
The full text of this article is available to read as a PDF.
There is NO Competing Interest.
This is a list of supplementary files associated with this preprint. Click to download.
- SupplementaryInformation.docx
Supplementary Information (SI): 1. Derivation of analytical solution for the 1-D and 3-D theoretical models, and comparison of their results. 2. Table S2: Input Parameters & constants
- GraphicalAbstract.jpg
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