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ENVIRONMENTAL FLOW AND CONTAMINANT TRANSPORT MODELING IN THE AMAZONIAN WATER SYSTEM BY USING Q3DRM1.0 SOFTWARE
Authors: Li-ren Yu 1, 2 , Jun Yu 3
Number of views: 380
This paper reports a fine numerical simulation of environmental flow and contaminant transport
in the Amazonian water system near the Anamã City, Brazil, solved by the Q3drm1.0 software,
developed by the Authors, which can provide the different closures of three depth-integrated
two-equation turbulence models. The purpose of this simulation is to refinedly debug and test the
developed software, including the mathematical model, turbulence closure models, adopted
algorithms, and the developed general-purpose computational codes as well as graphical user
interfaces (GUI). The three turbulence models, provided by the developed software to close nonsimplified
quasi three-dimensional hydrodynamic fundamental governing equations, include the
traditional depth-integrated two-equation turbulence model, the depth-integrated two-equation
turbulence model, developed previously by the first Author of the paper, and the depth-integrated
two-equation turbulence model, developed recently by the Authors of this paper. The numerical
simulation of this paper is to solve the corresponding discretized equations with collocated
variable arrangement on the non-orthogonal body-fitted coarse and fine two-levels’ grids. With
the help of Q3drm1.0 software, the steady environmental flows and transport behaviours have
been numerically investigated carefully; and the processes of contaminant inpouring as well as
plume development, caused by the side-discharge from a tributary of the south bank (the right
bank of the river), were also simulated and discussed in detail. Although the three turbulent
closure models, used in this calculation, are all applicable to the natural rivers with strong
mixing, the comparison of the computational results by using the different turbulence closure
models shows that the turbulence model with larger turbulence parameter provides the
possibility for improving the accuracy of the numerical computations of practical problems.