Journal of Yangtze River Scientific Research Institute ›› 2024, Vol. 41 ›› Issue (11): 109-117.DOI: 10.11988/ckyyb.20230561

• Hydraulics • Previous Articles     Next Articles

Mathematical Model of Fog Flow Source Strength and Diffusion in Flood Discharge Atomization

HE Gui-cheng(), ZHANG Hua(), PENG Yan-xiang   

  1. School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206,China
  • Received:2023-05-23 Revised:2023-08-12 Published:2024-11-01 Online:2024-11-26

Abstract:

In the process of flood discharge atomization, a large number of water droplets will be generated by the collision between the jetted water tongue and the downstream water cushion pond. The droplets carried by the airflow form a fog flow, which affects slope stability and traffic safety. To predict the distribution of fog flow in the downstream space, the interaction process between the jetted water tongue, air, and downstream water was simulated, and a background field for fog flow generation and transport was constructed. Based on the fog source generation mechanism and dimensional analysis methods, a calculation formula for fog flow source strength is proposed, and a mathematical model for fog flow source strength and diffusion is established. The fog flow process of the 3# spillway hole discharge at the Manwan hydropower station is simulated using this model. The comparison shows that the distribution of fog flow source strength and the location of the fog source generation are consistent with prototype observation. The distribution of fog flow concentration distribution in the downstream space is in line with the prototype observation, and the calculated values of fog flow concentration at observation points match the trend of the original observed values. The comparison results verify the applicability of this model, providing a new method for predicting the distribution of fog flow in downstream spaces of flood discharge atomization.

Key words: flood discharge atomization, fog flow concentration, fog flow source strength, fog flow diffusion, Manwan hydropower station

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