4.3 Article

Performance Comparison between Semi-Lagrangian and Eulerian Numerical Solutions for Two-Dimensional Surface Flows in Basin Irrigation

Journal

Publisher

ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)IR.1943-4774.0001560

Keywords

Basin irrigation; Numerical solution; Semi-Lagrange; Euler; Two-dimension

Funding

  1. National Key R&D Program of China [2017YFC0403201]
  2. National Natural Science Foundation of China [51579250, 51779273]

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A semi-Lagrangian numerical solution was developed for efficient simulation of surface shallow-water flows in large-scale basin irrigation. This solution showed lower mass conservation ability but higher computational efficiency compared to the existing Eulerian method, making it more suitable for practical applications.
To achieve efficient simulation for surface shallow-water flows in large-scale basin irrigation, a semi-Lagrangian numerical solution for two-dimensional shallow-water equations in unstructured spatial cells was developed. In this numerical solution, all state variables were defined at the finite-volume cells and presented piecewise constant distribution. A redistribution method of the state variable values for the inner node of a spatial cell was developed and can strictly preserve mass conservation. Then, a simple displacement formula along a characteristic-line was applied to connect the variable values between a unknown and its adjacently known time steps of the semi-Lagrangian form of two-dimensional shallow-water equations. The water level gradient term was specially treated to accurately balance the water level distribution at the wet or wet-dry spatial cell interface. Simultaneously, an existing finite-volume method with a fully implicit temporal solution for the Eulerian form of two-dimensional shallow-water equations in a triangular spatial cell was selected as a comparative model. Finally, a performance comparison between the semi-Lagrangian and Eulerian numerical solutions was analyzed based on three basin irrigation experiments. The results show that the semi-Lagrangian and Eulerian numerical solutions presented similar average relative errors between the observed and simulated data. The semi-Lagrangian numerical solution exhibited lower mass conservation ability, but its water quantity balance errors were less than 0.3% for three experiments. The semi-Lagrangian numerical solution was six times more computationally efficient than the Eulerian numerical solution in central processing unit (CPU) time. Thus, the semi-Lagrangian numerical solution is more suitable to simulate shallow-water flows in basin irrigation.

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