Formation and growth of binary aerosol in a laminar coaxial jet

Brock, J. R.; Kuhn, Phoebe; Zehavi, D.

doi:10.1016/0021-8502(88)90017-1

Cited by 8 publications

(5 citation statements)

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“…It is possible to extend the standard aerosol models to handle multivariate distributions, for example a two‐dimensional distribution that is a function of two species, or a function of volume and area. Such extensions have been investigated for sectional models [ Fassi‐Fihri et al , 1997], modal models [ Brock et al , 1988], and moment models [ Yoon and McGraw , 2004a, 2004b]. All such models, however, require storage and computation that scale exponentially in the number of independent variables A .…”

Section: Introductionmentioning

confidence: 99%

Simulating the evolution of soot mixing state with a particle‐resolved aerosol model

et al. 2009

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[1] The mixing state of soot particles in the atmosphere is of crucial importance for assessing their climatic impact, since it governs their chemical reactivity, cloud condensation nuclei activity, and radiative properties. To improve the mixing state representation in models, we present a new approach, the stochastic particle-resolved model PartMC-MOSAIC, which explicitly resolves the composition of individual particles in a given population of different types of aerosol particles. This approach tracks the evolution of the mixing state of particles due to emission, dilution, condensation, and coagulation. To make this direct stochastic particle-based method practical, we implemented a new multiscale stochastic coagulation method. With this method we achieved high computational efficiency for situations when the coagulation kernel is highly nonuniform, as is the case for many realistic applications. PartMC-MOSAIC was applied to an idealized urban plume case representative of a large urban area to simulate the evolution of carbonaceous aerosols of different types due to coagulation and condensation. For this urban plume scenario we quantified the individual processes that contributed to the aging of the aerosol distribution, illustrating the capabilities of our modeling approach. The results showed for the first time the multidimensional structure of particle composition, which is usually lost in sectional or modal aerosol models.Citation: Riemer, N., M. West, R. A. Zaveri, and R. C. Easter (2009), Simulating the evolution of soot mixing state with a particleresolved aerosol model,

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Section: Introductionmentioning

confidence: 99%

Simulating the evolution of soot mixing state with a particle‐resolved aerosol model

et al. 2009

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“…The formation of particles composed of organic compounds by homogeneous nucleation in laminar jets was studied by Brock et al (1986Brock et al ( , 1988, who also modeled their system numerically. Brock et al (1986) stated that, for the same vapor throughput, particles produced in turbulent jets will have smaller size and higher number concentration than those produced in laminar jets.…”

Section: Introduction and Previous Workmentioning

confidence: 99%

The Effect of Turbulence on Rates of Particle Formation by Homogeneous Nucleation

Lesniewski

Friedlander

1995

Aerosol Science and Technology

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The effect of turbulent mixing on the homogeneous nucleation rate was studied for a jet stream at 400 K injected into dry air a t 298 K and 1 atm. To simplify the calculations, it was assumed that the Lewis number was everywhere unity. Probability density functions for the temperature fluctuations in an axisymmetric shear layer were used to calculate the local particle formation rate, averaged over the fluctuations, and the resulting particle concentration profile. Taking turbulent fluctuations into account significantly reduces local maxima in the average nucleation rate and broadens the region of particle formation in the shear layer compared with calculations based on the mean saturation ratio profile. However, the overall rate of particle formation in the mixing layer, taking fluctuations into account, is of the same order of magnitude as the rates based on the mean concentration and temperature for the conditions of the calculation.

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“…Versions of FDC have built in Finland (Anisimov, Hameri, Kulmala, & Ovchinnikova, 1993;Lihavainen & Viisanen, 1998), the USA (Mikheev, Irving, Laulainen, Barlow, & Pervukhin, 2002), the Czech Republic (Brus et al, 2005), etc. Brock and co-authors built laminar flow systems to study single (Brock, Kuhn, & Zenavi, 1986) and multicomponent (Brock, Kuhn, & Zenavi, 1988) nucleation kinetics and properties of condensational aerosols.…”

Section: Diffusion Chambersmentioning

confidence: 99%