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A three dimensional model for industrial efluent dispersion in rivers

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Author(s):
Marcio Bezerra Machado
Total Authors: 1
Document type: Doctoral Thesis
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Quimica
Defense date:
Examining board members:
José Roberto Nunhez; Claudio Augusto Oller do Nascimento; José Eduardo Bevilacqua; José Roberto Guimarães; Luís Tadeu Furlan
Advisor: Edson Tomaz; José Roberto Nunhez
Abstract

A future lack of water in the next decades has been observed by many studies. Much effort has been devoted to find strategies which will help to manage proper1y water resources. Theoretical studies have been used recent1y since the scope of computational fluid dynamics (CFD) has increased, allowing its use in the issue of water quality. In this scenario, it is important to develop new techniques to predict the environmental impact of emissions in rivers so that strategies can be devised to decrease the effects of pollution. This work presents a three-dimensional Computational Fluid Dynamics (CFD) in house model to simulate the dispersion of soluble substances in a river. The finite volume method is used to approximate the momentum, mass and species conservation equations. A Cartesian coordinate system has been chosen to represent the river. Turbulence is taken into account by a zero-order equation model. The Streeter-Phelps model has been used to predict the concentration of organic substances and dissolved oxygen along the river. The model can also predict the impact of multiple effluents discharges. Results show that the proposed methodology is a good tool for the evaluation of the environmental impact caused for pollutants emissions in rivers. The software has been developed from the model and use the Fortran language. It is very fast, especially when compared to available commercial CFD packages. Experimental comparisons for soluble substances dispersion have been made for the Atibaia River. The results show good agreement with experimental data (AU)