2012
DOI: 10.5194/acp-12-2777-2012
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Kinetic multi-layer model of gas-particle interactions in aerosols and clouds (KM-GAP): linking condensation, evaporation and chemical reactions of organics, oxidants and water

Abstract: Abstract. We present a novel kinetic multi-layer model for gas-particle interactions in aerosols and clouds (KM-GAP) that treats explicitly all steps of mass transport and chemical reaction of semi-volatile species partitioning between gas phase, particle surface and particle bulk. KM-GAP is based on the PRA model framework (Pöschl-RudichAmmann, 2007), and it includes gas phase diffusion, reversible adsorption, surface reactions, bulk diffusion and reaction, as well as condensation, evaporation and heat transf… Show more

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Cited by 193 publications
(278 citation statements)
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References 89 publications
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“…Particle size has been discussed primarily in the context of accumulation mode particles greater than 100 nm in diameter (Roldin et al, 2014;Shiraiwa et al, 2013;Vesterinen et al, 2007). The Vesterinen study did report aerosol yield functions from simulations starting with 20 nm diameter seed particles, and the results suggested that particle-phase chemistry could enhance growth rates under atmospherically relevant conditions.…”
Section: Introductionmentioning
confidence: 91%
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“…Particle size has been discussed primarily in the context of accumulation mode particles greater than 100 nm in diameter (Roldin et al, 2014;Shiraiwa et al, 2013;Vesterinen et al, 2007). The Vesterinen study did report aerosol yield functions from simulations starting with 20 nm diameter seed particles, and the results suggested that particle-phase chemistry could enhance growth rates under atmospherically relevant conditions.…”
Section: Introductionmentioning
confidence: 91%
“…for constraining aerosol formation models. Future modeling of size-dependent molecular composition should include physico-chemical parameters such as diffusion, phase separation, and reaction reversibility (Liu et al, 2014;Mai et al, 2015;Riipinen et al, 2012;Shiraiwa et al, 2012;Song et al, 2015;Trump and Donahue, 2014;Zaveri et al, 2014) that may influence the contribution of particlephase chemistry to nanoparticle growth.…”
Section: Comparison To Recent Experimental Measurements and Atmosphermentioning
confidence: 99%
“…The characteristic timescale to reach equilibrium partitioning can be estimated using the kinetic multi-layer model of gas-particle interactions (KM-GAP) 35 coupled with AIOMFAC. KM-GAP represents the particle phase with multiple compartments and layers, including a surface sorption layer and a number of bulk layers and treats gas-phase diffusion, reversible adsorption, and bulk diffusion explicitly (see Fig.…”
Section: Equilibration Timescale Of Soa Partitioningmentioning
confidence: 99%
“…The "kinetic multi-layer model of gas-particle interactions in aerosol and clouds" (KM-GAP) (Shiraiwa et al, 2012), based on coupled differential equations;…”
Section: S O'meara Et Al: the Rate Of Equilibration Of Viscous Aeromentioning
confidence: 99%