Li-ren Yu, ESDV (Environmental Software and Digital Visualization), Rm.302, Unit4, Building420, Wan-Sheng-Bei-Li, Ton-Zhou Dist., 101121, Beijing, China; ASSER-CESUSC (Association of United Schools-Higher Education Center at São Carlos), Brazil.

Jun Yu, Lenovo, Av. Carlos Grimaldi, 1701, 20 andar/Campins – SP, Brazil

Abstract
This paper reports a refined numerical simulation for Amazon River, aiming to develop a mathematical model and numerical tool for modeling and predicting turbulence flows and contaminant transport in complex natural waters. In the mathematical model, the depth-averaged two-equation closure turbulence k-omega model, together with k-epsilon model and k-w model, were used to close non-simplified quasi 3D hydrodynamic fundamental governing equations. The discretized equations, however, were solved by advanced multi-grid iterative method under coarse and fine two-levels’ non-orthogonal body-fitted grids with collocated variable arrangement. Except for steady flow and transport computation, the processes of black-water inpouring and plume development, caused by the side-discharge from the Negro River, also have been numerically studied. The used three depth-averaged two-equation closure models are suitable for modeling strong mixing turbulence. The recently built k-omega turbulence model with higher order of magnitude of transported variable provides a possibility to enhance the computational precision. Based on the developed mathematical model, which can provide multiple turbulence two-equation closure models for quasi 3D modeling, a CFD software, namely Q3drm1.0 and Q3drm2.0, was developed. This numerical tool focuses on the refined numerical simulations of the steady and unsteady problems of flow and transports with the strong ability to deal with different tipes of discharges. In this paper, only the investigation of side-discharge is presented.

Keywords
depth-averaged turbulence models, river modeling, contaminant transport, turbulent mixing, grid generation with multiple islands, multi-grid iterative method

Cite this paper
Li-ren Yu, Jun Yu, Refined Numerical Simulation of Environmental Flow, Mixing and Transport in Amazon River near Manaus City by Using Multiple Depth-Averaged Two-Equation Turbulence Models and Multi-Grid Iterative Method , SCIREA Journal of Environment. Volume 1, Issue 1, October 2016 | PP. 1-19.

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