Articles | Volume 26, issue 10
https://doi.org/10.5194/acp-26-7013-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-7013-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Dynamic characteristics of snowfall particles in atmospheric turbulent boundary layer and its effect on dust wet deposition
Jie Zhang
College of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, 730000, China
Key Laboratory of Mechanics on Disaster and Environment in Western China, The Ministry of Education of China, Lanzhou, 730000, China
Wanzhi Li
College of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, 730000, China
Key Laboratory of Mechanics on Disaster and Environment in Western China, The Ministry of Education of China, Lanzhou, 730000, China
Ning Huang
College of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, 730000, China
Key Laboratory of Mechanics on Disaster and Environment in Western China, The Ministry of Education of China, Lanzhou, 730000, China
Binbin Pei
CORRESPONDING AUTHOR
College of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, 730000, China
Key Laboratory of Mechanics on Disaster and Environment in Western China, The Ministry of Education of China, Lanzhou, 730000, China
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Short summary
Snow cleans air as falling snow captures dust. We studied how wind turbulence affects this process. Our computer simulations reveal that turbulence makes snow particles move horizontally, greatly increasing their dust collection. Current models ignore this horizontal motion and thus underestimate cleaning. Our new model captures this effect, offering a better tool for predicting air pollution removal and guiding environmental cleanup efforts.
Snow cleans air as falling snow captures dust. We studied how wind turbulence affects this...
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