Articles | Volume 20, issue 5
Atmos. Chem. Phys., 20, 2987–3008, 2020
https://doi.org/10.5194/acp-20-2987-2020
Atmos. Chem. Phys., 20, 2987–3008, 2020
https://doi.org/10.5194/acp-20-2987-2020
Research article
12 Mar 2020
Research article | 12 Mar 2020

A predictive group-contribution model for the viscosity of aqueous organic aerosol

Natalie R. Gervasi et al.

Related authors

Viscosity and physical state of sucrose mixed with ammonium sulfate droplets
Rani Jeong, Joseph Lilek, Andreas Zuend, Rongshuang Xu, Man Nin Chan, Dohyun Kim, Hi Gyu Moon, and Mijung Song
Atmos. Chem. Phys., 22, 8805–8817, https://doi.org/10.5194/acp-22-8805-2022,https://doi.org/10.5194/acp-22-8805-2022, 2022
Short summary
Description and evaluation of the community aerosol dynamics model MAFOR v2.0
Matthias Karl, Liisa Pirjola, Tiia Grönholm, Mona Kurppa, Srinivasan Anand, Xiaole Zhang, Andreas Held, Rolf Sander, Miikka Dal Maso, David Topping, Shuai Jiang, Leena Kangas, and Jaakko Kukkonen
Geosci. Model Dev., 15, 3969–4026, https://doi.org/10.5194/gmd-15-3969-2022,https://doi.org/10.5194/gmd-15-3969-2022, 2022
Short summary
A predictive viscosity model for aqueous electrolytes and mixed organic–inorganic aerosol phases
Joseph Lilek and Andreas Zuend
Atmos. Chem. Phys., 22, 3203–3233, https://doi.org/10.5194/acp-22-3203-2022,https://doi.org/10.5194/acp-22-3203-2022, 2022
Short summary
Extension of the AIOMFAC model by iodine and carbonate species: applications for aerosol acidity and cloud droplet activation
Hang Yin, Jing Dou, Liviana Klein, Ulrich K. Krieger, Alison Bain, Brandon J. Wallace, Thomas C. Preston, and Andreas Zuend
Atmos. Chem. Phys., 22, 973–1013, https://doi.org/10.5194/acp-22-973-2022,https://doi.org/10.5194/acp-22-973-2022, 2022
Short summary
Modelling the gas–particle partitioning and water uptake of isoprene-derived secondary organic aerosol at high and low relative humidity
Dalrin Ampritta Amaladhasan, Claudia Heyn, Christopher R. Hoyle, Imad El Haddad, Miriam Elser, Simone M. Pieber, Jay G. Slowik, Antonio Amorim, Jonathan Duplissy, Sebastian Ehrhart, Vladimir Makhmutov, Ugo Molteni, Matti Rissanen, Yuri Stozhkov, Robert Wagner, Armin Hansel, Jasper Kirkby, Neil M. Donahue, Rainer Volkamer, Urs Baltensperger, Martin Gysel-Beer, and Andreas Zuend
Atmos. Chem. Phys., 22, 215–244, https://doi.org/10.5194/acp-22-215-2022,https://doi.org/10.5194/acp-22-215-2022, 2022
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions
Minghao Qiu, Corwin Zigler, and Noelle E. Selin
Atmos. Chem. Phys., 22, 10551–10566, https://doi.org/10.5194/acp-22-10551-2022,https://doi.org/10.5194/acp-22-10551-2022, 2022
Short summary
Simulating the radiative forcing of oceanic dimethylsulfide (DMS) in Asia based on machine learning estimates
Junri Zhao, Weichun Ma, Kelsey R. Bilsback, Jeffrey R. Pierce, Shengqian Zhou, Ying Chen, Guipeng Yang, and Yan Zhang
Atmos. Chem. Phys., 22, 9583–9600, https://doi.org/10.5194/acp-22-9583-2022,https://doi.org/10.5194/acp-22-9583-2022, 2022
Short summary
Quantifying the effects of mixing state on aerosol optical properties
Yu Yao, Jeffrey H. Curtis, Joseph Ching, Zhonghua Zheng, and Nicole Riemer
Atmos. Chem. Phys., 22, 9265–9282, https://doi.org/10.5194/acp-22-9265-2022,https://doi.org/10.5194/acp-22-9265-2022, 2022
Short summary
Secondary organic aerosol formation via multiphase reaction of hydrocarbons in urban atmospheres using CAMx integrated with the UNIPAR model
Zechen Yu, Myoseon Jang, Soontae Kim, Kyuwon Son, Sanghee Han, Azad Madhu, and Jinsoo Park
Atmos. Chem. Phys., 22, 9083–9098, https://doi.org/10.5194/acp-22-9083-2022,https://doi.org/10.5194/acp-22-9083-2022, 2022
Short summary
Contrasting source contributions of Arctic black carbon to atmospheric concentrations, deposition flux, and atmospheric and snow radiative effects
Hitoshi Matsui, Tatsuhiro Mori, Sho Ohata, Nobuhiro Moteki, Naga Oshima, Kumiko Goto-Azuma, Makoto Koike, and Yutaka Kondo
Atmos. Chem. Phys., 22, 8989–9009, https://doi.org/10.5194/acp-22-8989-2022,https://doi.org/10.5194/acp-22-8989-2022, 2022
Short summary

Cited articles

Abramson, E., Imre, D., Beránek, J., Wilson, J., and Zelenyuk, A.: Experimental determination of chemical diffusion within secondary organic aerosol particles, Phys. Chem. Chem. Phys., 15, 2983, https://doi.org/10.1039/c2cp44013j, 2013. a
Angell, C.: Relaxation in liquids, polymers and plastic crystals – strong/fragile patterns and problems, J. Non-Cryst. Solids, 131, 13–31, https://doi.org/10.1016/0022-3093(91)90266-9, 1991. a, b, c
Angell, C.: Entropy and Fragility in Supercooling Liquids, J. Res. Natl. Inst. Stand. Technol., 102, 171, https://doi.org/10.6028/jres.102.013, 1997. a, b
Angell, C. A.: Formation of Glasses from Liquids and Biolymers, Adv. Sci., 267, 1924–1935, https://doi.org/10.1126/science.267.5206.1924, 1995. a
Angell, C. A., Bressel, R. D., Green, J. L., Kanno, H., Oguni, M., and Sare, E. J.: Liquid Fragility and the Glass Transition in Water and Aqueous Solutions, J. Food Eng., 102, 2627–2650, https://doi.org/10.1016/0260-8774(94)90028-0, 2002. a, b
Download
Short summary
Organic aerosols have been shown to exist often in a semi-solid or amorphous, glassy state. Highly viscous particles behave differently than their well-mixed liquid analogues with consequences for a variety of aerosol processes. Here, we introduce a new predictive mixture viscosity model called AIOMFAC-VISC. It enables us to predict the viscosity of aqueous organic mixtures as a function of temperature and chemical composition, covering the full range of liquid, semi-solid, and glassy states.
Altmetrics
Final-revised paper
Preprint