Modal aerosol dynamics modeling
Evan R. Whitby, Peter H. McMurry
The derivation of the governing equations for modal aerosol dynamics (MAD) models is presented. MAD models represent the aerosol size distribution as an assemblage of distinct populations of aerosol, where each population is distinguished by size or chemical composition. The size distribution of each population is approximated by an analytical modal distribution function; usually by a lognormal distribution function. By substituting the MAD representation of aerosol size distributions into the governing equation for aerosol processes, the governing differential equations for MAD models are derived. These differential equations express the time dependence of the moments of the aerosol size distribution and are called Moment Dynamics Equations (MDEs). The MDEs for Continuously-Stirred Tank Aerosol Reactors (CSTARs) are also derived.
Aerosol Science and Technology
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Aerosols Engineering & Materials Science
modeling Earth & Environmental Sciences
particle size Earth & Environmental Sciences
Distribution functions Engineering & Materials Science
chemical composition Earth & Environmental Sciences
distribution Earth & Environmental Sciences
Whitby, E. R., & McMurry, P. H. (1997). Modal aerosol dynamics modeling. Aerosol Science and Technology, 27(6), 673-688. https://doi.org/10.1080/02786829708965504
Modal aerosol dynamics modeling. / Whitby, Evan R.; McMurry, Peter H.
In: Aerosol Science and Technology, Vol. 27, No. 6, 01.01.1997, p. 673-688.
Whitby, ER & McMurry, PH 1997, 'Modal aerosol dynamics modeling', Aerosol Science and Technology, vol. 27, no. 6, pp. 673-688. https://doi.org/10.1080/02786829708965504
Whitby ER, McMurry PH. Modal aerosol dynamics modeling. Aerosol Science and Technology. 1997 Jan 1;27(6):673-688. https://doi.org/10.1080/02786829708965504
Whitby, Evan R. ; McMurry, Peter H. / Modal aerosol dynamics modeling. In: Aerosol Science and Technology. 1997 ; Vol. 27, No. 6. pp. 673-688.
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title = "Modal aerosol dynamics modeling",
abstract = "The derivation of the governing equations for modal aerosol dynamics (MAD) models is presented. MAD models represent the aerosol size distribution as an assemblage of distinct populations of aerosol, where each population is distinguished by size or chemical composition. The size distribution of each population is approximated by an analytical modal distribution function; usually by a lognormal distribution function. By substituting the MAD representation of aerosol size distributions into the governing equation for aerosol processes, the governing differential equations for MAD models are derived. These differential equations express the time dependence of the moments of the aerosol size distribution and are called Moment Dynamics Equations (MDEs). The MDEs for Continuously-Stirred Tank Aerosol Reactors (CSTARs) are also derived.",
author = "Whitby, {Evan R.} and McMurry, {Peter H.}",
journal = "Aerosol Science and Technology",
T1 - Modal aerosol dynamics modeling
AU - Whitby, Evan R.
AU - McMurry, Peter H.
N2 - The derivation of the governing equations for modal aerosol dynamics (MAD) models is presented. MAD models represent the aerosol size distribution as an assemblage of distinct populations of aerosol, where each population is distinguished by size or chemical composition. The size distribution of each population is approximated by an analytical modal distribution function; usually by a lognormal distribution function. By substituting the MAD representation of aerosol size distributions into the governing equation for aerosol processes, the governing differential equations for MAD models are derived. These differential equations express the time dependence of the moments of the aerosol size distribution and are called Moment Dynamics Equations (MDEs). The MDEs for Continuously-Stirred Tank Aerosol Reactors (CSTARs) are also derived.
AB - The derivation of the governing equations for modal aerosol dynamics (MAD) models is presented. MAD models represent the aerosol size distribution as an assemblage of distinct populations of aerosol, where each population is distinguished by size or chemical composition. The size distribution of each population is approximated by an analytical modal distribution function; usually by a lognormal distribution function. By substituting the MAD representation of aerosol size distributions into the governing equation for aerosol processes, the governing differential equations for MAD models are derived. These differential equations express the time dependence of the moments of the aerosol size distribution and are called Moment Dynamics Equations (MDEs). The MDEs for Continuously-Stirred Tank Aerosol Reactors (CSTARs) are also derived.
JO - Aerosol Science and Technology
JF - Aerosol Science and Technology