Abstract
This paper presents an unsteady depth-integrated simulation for solving a hydrodynamic engineering problem in the estuary of the Yangtze River. The computation is based on the advanced turbulence depth-averaged two-equation {tilde {kappa}} - {tilde {omega}} ({tilde {kappa}}, depth-averaged turbulent kinetic energy parameter; {tilde {omega}}, depth-averaged vorticity fluctuation parameter of turbulence) model. Variations of bottom topography and water surface elevation were taken into account. The model has the ability to simulate and predict flow fields and pollutant transport driven by tidal flows within a coarse grid resolution. The distributions and variations of velocity, temperature, and concentration fields caused by discharged pollutants from seven sources, two of which are submerged, were simulated over a full tidal cycle. The velocity and temperature fields computed by turbulence {tilde {kappa}} - {tilde {omega}} modeling have been compared with experimental results and field data. It was found that the simulation by using the turbulence {tilde {kappa}} - {tilde {omega}} two-equation closure can provide more details of flow fields and concentration distributions than ones by using phenomenological algebraic formulas of eddy viscosity and diffusivity.
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