About: Experimental and numerical study on particle distribution in a two-zone chamber

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Experimental and numerical study on particle distribution in a two-zone chamber
Creator	Chen, F Lai, Alvin Wang, K
Source	Elsevier; Medline; PMC
abstract	Better understanding of aerosol dynamics is an important step for improving personal exposure assessments in indoor environments. Although the limitation of the assumptions in a well-mixed model is well known, there has been very little research reported in the published literature on the discrepancy of exposure assessments between numerical models which take account of gravitational effects and the well-mixed model. A new Eulerian-type drift-flux model has been developed to simulate particle dispersion and personal exposure in a two-zone geometry, which accounts for the drift velocity resulting from gravitational settling and diffusion. To validate the numerical model, a small-scale chamber was fabricated. The airflow characteristics and particle concentrations were measured by a phase Doppler Anemometer. Both simulated airflow and concentration profiles agree well with the experimental results. A strong inhomogeneous concentration was observed experimentally for 10 μm aerosols. The computational model was further applied to study a simple hypothetical, yet more realistic scenario. The aim was to explore different levels of exposure predicted by the new model and the well-mixed model. Aerosols are initially uniformly distributed in one zone and subsequently transported and dispersed to an adjacent zone through an opening. Owing to the significant difference in the rates of transport and dispersion between aerosols and gases, inferred from the results, the well-mixed model tends to overpredict the concentration in the source zone, and under-predict the concentration in the exposed zone. The results are very useful to illustrate that the well-mixed assumption must be applied cautiously for exposure assessments as such an ideal condition may not be applied for coarse particles.
has issue date	2007-11-23(xsd:dateTime)
bibo:doi	10.1016/j.atmosenv.2007.11.030
bibo:pmid	32288555
has license	no-cc
sha1sum (hex)	3f88fe929bb54a411f401c1af50b1021958bf74c
schema:url	https://doi.org/10.1016/j.atmosenv.2007.11.030
resource representing a document's title	Experimental and numerical study on particle distribution in a two-zone chamber
has PubMed Central identifier	PMC7108313
has PubMed identifier	32288555
schema:publication	Atmos Environ (1994)
resource representing a document's body	covid:3f88fe929bb54a411f401c1af50b1021958bf74c#body_text
is schema:about of	named entity 'improving' named entity 'effects' named entity 'limitation' covid:arg/3f88fe929bb54a411f401c1af50b1021958bf74c named entity 'gravitational' named entity 'indoor environments' named entity 'gravitational effects' named entity 'numerical models' named entity 'aerosol' named entity 'Aerosol' named entity 'epidemiology' named entity 'aerosol deposition' named entity 'bacteria' named entity 'ACH' named entity 'central differencing scheme' named entity 'mass balance' named entity 'aerosol' named entity 'Japan' named entity 'particle size' named entity 'particle size' named entity 'relaxation time' named entity 'South East Asia' named entity 'nebulizer' named entity 'number concentration' named entity 'diffusion' named entity 'deposition velocity' named entity 'expiratory droplets' named entity 'PISO algorithm' named entity 'implicit scheme' named entity 'RBG' named entity 'bioterrorism' named entity 'diffusion processes' named entity 'well-mixed' named entity 'Aerosolized' named entity 'particle size' named entity 'volume fraction' named entity 'aerosols' named entity 'diffusion coefficient' named entity 'numerical model' named entity 'severe acute respiratory syndrome' named entity 'particulate' named entity 'Log-law' named entity 'numerical model' named entity 'solid particles' named entity 'advection' named entity 'velocity field' named entity 'particle number' named entity 'well-mixed' named entity 'well-mixed' named entity 'biological agents' named entity 'decay rate' named entity 'aerosol' named entity '0.45' named entity 'well-mixed' named entity 'Brownian' named entity 'diffusion' named entity 'Unlike gases' named entity 'well-mixed' named entity 'well-mixed' named entity 'dependent variable' named entity 'diffusion' named entity 'well-mixed' named entity 'airborne particulate matter' named entity 'Omron' named entity 'viscosity' named entity 'exposure assessment' named entity 'PDA' named entity 'PDA' named entity 'differential equations' named entity 'pollutant' named entity 'aerosols' named entity 'settling velocity' named entity 'boundary condition' named entity 'inhalation exposure' named entity 'bacteria' named entity 'diffusion coefficient' named entity 'pathogens' named entity 'numerical integration' named entity 'advection'

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