Comprehensive two-dimensional river ice model based on boundary-fitted coordinate transformation method

• Main Authors: Ze-yu Mao, Jing Yuan, Jun Bao, Xiao-fan Peng, Guo-qiang Tang
• Format: Article
• Language: English
• Published: Elsevier 2014-01-01
• Series: Water Science and Engineering
• Subjects: two-dimensional river ice numerical model; boundary-fitted coordinate technology; river ice process; freeze-up; MacCormack scheme; natural river
• Online Access: http://www.sciencedirect.com/science/article/pii/S1674237015302702

River ice is a natural phenomenon in cold regions, influenced by meteorology, geomorphology, and hydraulic conditions. River ice processes involve complex interactions between hydrodynamic, mechanical, and thermal processes, and they are also influenced by weather and hydrologic conditions. Because natural rivers are serpentine, with bends, narrows, and straight reaches, the commonly-used one-dimensional river ice models and two-dimensional models based on the rectangular Cartesian coordinates are incapable of simulating the physical phenomena accurately. In order to accurately simulate the complicated river geometry and overcome the difficulties of numerical simulation resulting from both complex boundaries and differences between length and width scales, a two-dimensional river ice numerical model based on a boundary-fitted coordinate transformation method was developed. The presented model considers the influence of the frazil ice accumulation under ice cover and the shape of the leading edge of ice cover during the freezing process. The model is capable of determining the velocity field, the distribution of water temperature, the concentration distribution of frazil ice, the transport of floating ice, the progression, stability, and thawing of ice cover, and the transport, accumulation, and erosion of ice under ice cover. A MacCormack scheme was used to solve the equations numerically. The model was validated with field observations from the Hequ Reach of the Yellow River. Comparison of simulation results with field data indicates that the model is capable of simulating the river ice process with high accuracy.