RESEARCH ARTICLE


Modeling the Photocatalytic Process of Variation in Chemical Oxygen Demand via Stochastic Differential Equations



Adriano F. Siqueira*, Oswaldo L. C. Guimaraes, Helcio J. Izario Filho, Domingos S. Giordani, Ivy dos Santos Oliveira, Henrique Otavio Queiroz de Aquino, Messias Borges Silva
Engineering School of Lorena– EEL – University of São Paulo C. Postal 116-CEP:12.602-810 - Lorena-SP , Estrada Municipal do Campinho, s/n° Brazil


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© 2013 Siqueira et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Engineering School of Lorena– EEL – University of São Paulo C. Postal 116-CEP:12.602-810 - Lorena-SP , Estrada Municipal do Campinho, s/nº Brazil; Tel: 55 12 3159 5089; E-mails: adriano@debas.eel.usp.br, oswaldocobra@debas.eel.usp.br


Abstract

Several papers in the literature on Advanced Oxidation Processes (AOPs) confirm the process as a viable alternative for the treatment of a variety of industrial effluents. In many of these works, modeling the variations of Chemical Oxygen Demand (COD) as a function of different experimental conditions was performed by techniques such as Design of Experiments, Artificial Neural Networks and Multivariate Analysis. These techniques require both a large number of parameters and a large quantity of experimental data for a systematic study of the model parameters as a function of experimental conditions. On the other hand, the study of Stochastic Differential Equations (SDE) is presently well developed with several practical applications noted in the literature. This paper presents a new approach in studying the variations of COD in AOPs via SDE. Specifically, two effluents, from the manufacture of paints and textiles were studied by combined treatment of the photo-Fenton process and catalytic ozonization.

Keywords: Modeling, Stochastic Differential Equations, Chemical Oxygen Demand, Photo-Fenton process, Ozonization.