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DOI	10.5194/acp-22-2669-2022
	Comparison of six approaches to predicting droplet activation of surface active aerosol - Part 1: moderately surface active organics
	Vepsalainen, Sampo; Calderon, Silvia M.; Malila, Jussi; Prisle, Nonne L.
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	2669
结束页码	2687
卷号	22 期号:4 页码:19
英文摘要	Surface active compounds (surfactants) are frequently found in atmospheric aerosols and droplets. As they adsorb to the surfaces of microscopic systems, surfactants can decrease aqueous surface tension and simultaneously deplete the bulk concentration. These processes may influence the activation of aerosols into cloud droplets and investigation of their role in cloud microphysics has been ongoing for decades. In this work, we have used six different models documented in the literature to represent surface activity in Kohler calculations of cloud droplet activation for particles consisting of one of three moderately surface active organics (malonic, succinic or glutaric acid) mixed with ammonium sulfate in varying mass ratios. For each of these organic acids, we find that the models predict comparable activation properties at small organic mass fractions in the dry particles, despite large differences in the predicted degree of bulk-to-surface partitioning. However, differences between the model predictions for the same dry particles regarding both the critical droplet diameters and supersaturations increase with the organic fraction in the particles. Comparison with available experimental data shows that models assuming complete bulk-to-surface partitioning of the moderately surface active component (total depletion of the bulk) do not adequately represent the droplet activation of particles with high organic mass fractions. When reduced droplet surface tension is also considered, these predictions somewhat improve. Models that consider partial bulk-to-surface partitioning of surface active components yield results comparable to experimental supersaturation data, even at high organic mass fractions in the particles, but predictions of the degree of organic bulk-surface partitioning strongly differ. This work highlights the need to use a thermodynamically consistent model framework to treat the surface activity of atmospheric aerosols and for firm experimental validation of model predictions across a wide range of droplet states relevant to the atmosphere.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000763303000001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273053
作者单位	University of Oulu; Finnish Meteorological Institute; University of Oulu
推荐引用方式 GB/T 7714	Vepsalainen, Sampo,Calderon, Silvia M.,Malila, Jussi,et al. Comparison of six approaches to predicting droplet activation of surface active aerosol - Part 1: moderately surface active organics[J],2022,22(4):19.
APA	Vepsalainen, Sampo,Calderon, Silvia M.,Malila, Jussi,&Prisle, Nonne L..(2022).Comparison of six approaches to predicting droplet activation of surface active aerosol - Part 1: moderately surface active organics.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(4),19.
MLA	Vepsalainen, Sampo,et al."Comparison of six approaches to predicting droplet activation of surface active aerosol - Part 1: moderately surface active organics".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.4(2022):19.