Aerosol Growth and the Condensation Coefficient for Water: A Review

Mozurkewich, M.

doi:10.1080/02786828608959089

Cited by 139 publications

(71 citation statements)

References 57 publications

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“…The difficulty in accurately measuring σ arises from uncertainties in estimating heat and mass transfer resistances and the interfacial temperature in the presence of latent heat transfer [41][42][43] , since vapour pressure is a strong function of temperature. As a result, experimental estimates even in relatively recent studies (since 1989) are scattered over almost two orders of magnitude (0.01 to 1) 31,34,[44][45][46][47] .…”

Section: Condensation Coefficient Of Watermentioning

confidence: 99%

Nanofluidic transport governed by the liquid/vapour interface

2014

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Section: Condensation Coefficient Of Watermentioning

confidence: 99%

Nanofluidic transport governed by the liquid/vapour interface

2014

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“…Mozurkewich, 1986;Shaw and Lamb, 1999;Li et al, 2001;Davidovits et al, 2004;Zientara et al, 2005;Winkler et al, 2004Winkler et al, , 2006Kolb et al, 2010), but the converging view is that it is close to unity (≥0.1) for water surfaces. Several theoretical and experimental techniques are used to study water uptake (Davidovits et al, 2006;Kolb et al, 2010).…”

Section: T Raatikainen Et Al: Activation Kinetics From Measurementsmentioning

confidence: 99%

A coupled observation – modeling approach for studying activation kinetics from measurements of CCN activity

et al. 2012

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Abstract. This paper presents an approach to study droplet activation kinetics from measurements of CCN activity by the Continuous Flow Streamwise Thermal Gradient CCN Chamber (CFSTGC) and a comprehensive model of the instrument and droplet growth. The model, which can be downloaded from http://nenes.eas.gatech.edu/Experiments/ CFSTGC.html, is evaluated against a series of experiments with ammonium sulfate calibration aerosol. Observed and modeled droplet sizes are in excellent agreement for a water vapor uptake coefficient ∼0.2, which is consistent with theoretical expectations. The model calculations can be considerably accelerated without significant loss of accuracy by assuming simplified instrument geometry and constant parabolic flow velocity profiles. With these assumptions, the model can be applied to large experimental data sets to infer kinetic growth parameters while fully accounting for water vapor depletion effects and changes in instrument operation parameters such as the column temperature, flow rates, sheath and sample flow relative humidities, and pressure. When the effects of instrument operation parameters, water vapor depletion and equilibrium dry particle properties on droplet size are accounted for, the remaining variations in droplet size are most likely due to non-equilibrium processes such as those caused by organic surface films, slow solute dissociation and glassy or highly viscous particle states. As an example of model application, data collected during a research flight in the ARCTAS 2008 campaign are analyzed. The model shows that water vapor depletion effects can explain changes in the observed average droplet size.

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“…Experimental values of q c that range over three orders of magnitudes, from 0.001-1, have been reported since Rideal (Rideal 1925) conducted the first room temperature experiments in 1925 (Mozurkewich 1986;Marek and Straub 2001;Davidovits et al 2004). More recent experiments, for temperatures between 238 and 298 K, have reduced the range to 0.01-1 (Beloded et al 1989;Hagen et al 1989;Shaw and Lamb 1999;Zagaynov et al 2000;Davidovits et al 2006), and Marek and Straub (2001) suggested that condensation coefficients less than 0.01 indicate contamination of the water surface.…”

Section: Droplet Growth Lawsmentioning

confidence: 99%

Nonisothermal Droplet Growth in the Free Molecular Regime

Pathak

Mullick

Tanimura

et al. 2013

Aerosol Science and Technology

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The growth rates of nonane and D 2 O nanodroplets produced in supersonic expansions are characterized using small angle Xray scattering (SAXS) and pressure trace measurements (PTM). The experimental growth rates are compared to the predictions of a Hertz-Knudsen model that assumes either isothermal or nonisothermal droplet growth in the free molecular regime. For nonane, the predicted growth rates are insensitive to both droplet temperature and the evaporation coefficient, and agree well with the experimentally measured growth rates assuming a condensation coefficient of 1. For D 2 O, droplet growth rates are quite sensitive to droplet temperature, and the best agreement between experiments and theory are achieved for a condensation coefficient of 1 and an evaporation coefficient in the range from 0.5 to 1. Under our experimental conditions, incorporating coagulation is important to match the measured D 2 O growth rates but not those of nonane.

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Aerosol Growth and the Condensation Coefficient for Water: A Review

Cited by 139 publications

References 57 publications

Nanofluidic transport governed by the liquid/vapour interface

Nanofluidic transport governed by the liquid/vapour interface

A coupled observation – modeling approach for studying activation kinetics from measurements of CCN activity

Nonisothermal Droplet Growth in the Free Molecular Regime

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