Development of a Predictive Model for Removal of Organic Matter from Leachate Landfill by Catalytic Oxidation Using Response Surface Methodology

摘要

In this work the heterogeneous Fenton catalytic experiments were arranged in a CCF experimental design and analyzed by response surface methodology, for every peroxide concentration. These response surfaces were the representation of a quadratic predictive model developed for improving of biochemical oxygen demand at five days/chemical oxygen demand (BDO₅/COD) ratio, trough the optimization parameters of reaction. For this proposal 18 catalytic tests were carried out evaluating three main factors: peroxide concentration, catalyst loading and the peroxide addition rate. The results in confronting with the experimental data showed that from 60 minutes the catalytic wet peroxide oxidation (CWPO) reaction was stationated in focusing the chemical COD removal, inclusively in any opportunities these values were decreased maybe because new compounds had been formed and we supposed that these new compounds were with biodegradable character because this behavior was perfectly answered by the prediction model, hence with this new and enhancent ratio there are possibilities to get in to the biological process again for the refine the effluent and comply with the actual regulation. The best conditions predicted for the model are at 4.68M peroxide concentration, catalyst loading charge (CL) (0.5 – 0.6%) and peroxide addition rate (PAR) (7.5 – 10 mL/h) to improve its biodegradability to 0.30, thus this effluent might come back to the begin of plant for refining the treatment.