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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

机译:气溶胶和云层中气体-颗粒相互作用的动力学多层模型(KM-GAP):将有机物,氧化剂和水的冷凝,蒸发和化学反应联系起来

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摘要

We present a novel kinetic multi-layer modeludfor gas-particle interactions in aerosols and clouds (KMGAP)udthat treats explicitly all steps of mass transport andudchemical reaction of semi-volatile species partitioning betweenudgas phase, particle surface and particle bulk. KMGAPudis based on the PRA model framework (P¨oschl-Rudich-udAmmann, 2007), and it includes gas phase diffusion, reversibleudadsorption, surface reactions, bulk diffusion and reaction,udas well as condensation, evaporation and heat transfer.udThe size change of atmospheric particles and the temporaludevolution and spatial profile of the concentration of individualudchemical species can be modeled along with gas uptakeudand accommodation coefficients. Depending on the complexityudof the investigated system and the computational constraints,udunlimited numbers of semi-volatile species, chemicaludreactions, and physical processes can be treated, and theudmodel shall help to bridge gaps in the understanding andudquantification of multiphase chemistry and microphysics inudatmospheric aerosols and clouds.udIn this study we demonstrate how KM-GAP can be usedudto analyze, interpret and design experimental investigationsudof changes in particle size and chemical composition in responseudto condensation, evaporation, and chemical reaction.udFor the condensational growth of water droplets, our kineticudmodel results provide a direct link between laboratory observationsudand molecular dynamic simulations, confirmingudthat the accommodation coefficient of water at 270K isudclose to unity (Winkler et al., 2006). Literature data on theudevaporation of dioctyl phthalate as a function of particle sizeudand time can be reproduced, and the model results suggestudthat changes in the experimental conditions like aerosol particleudconcentration and chamber geometry may influence theudevaporation kinetics and can be optimized for efficient probingudof specific physical effects and parameters. With regardudto oxidative aging of organic aerosol particles, we illustrateudhow the formation and evaporation of volatile reaction productsudlike nonanal can cause a decrease in the size of oleic acidudparticles exposed to ozone.
机译:我们提出了一种新颖的动力学多层模型气溶胶和云中气-粒相互作用的ud(KMGAP) ud,它明确处理了质量转移的所有步骤以及在 udgas相,颗粒表面和颗粒之间分配的半挥发性物质的化学反应。块。 KMGAP udis基于PRA模型框架(Póoschl-Rudich- udAmmann,2007年),它包括气相扩散,可逆/多吸附,表面反应,本体扩散和反应,以及冷凝,蒸发和加热 ud可以模拟大气颗粒的大小变化以及各个 udud物种的浓度的时间 udev和空间分布以及气体吸收 udand容纳系数。根据所研究系统的复杂性 ud和计算限制,可以处理无限数量的半挥发性物质,化学反应和物理过程, ud模型将有助于弥合对理解和量化的差距。 大气层气溶胶和云中的多相化学和微观物理学。 ud在这项研究中,我们演示了如何使用KM-GAP ud分析,解释和设计实验研究 ud粒径和化学成分的变化以响应 ud凝结,蒸发, ud对于水滴的凝结生长,我们的动力学 udmodel结果提供了实验室观察 ud和分子动力学模拟之间的直接联系,从而确认 ud水在270K处的容纳系数接近于统一(Winkler等人(2006年)。可以复制关于邻苯二甲酸二辛酯的蒸发量随粒径 udand时间的影响的文献数据,模型结果表明 u u200b u200b u200b u200b u200b u200b u200b u200b u200b实验条件的变化(如气溶胶颗粒 ud浓度和腔室几何形状)可能会影响 devaporation动力学并且可以进行了优化,以有效地探测特定物理效果和参数。关于有机气溶胶颗粒的氧化老化,我们说明了挥发性反应产物的形成和蒸发如何像壬二醛一样会导致油酸尺寸的减小或暴露于臭氧中的颗粒。

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