Optimization of the Photo-Fenton Process forRemoval of Chemical Oxygen Demand fromSanitary Landfill Leachate by Response SurfaceMethodology
Gan Chin Heng, Emad S. Elmolla, Malay Chaudhuri
Abstract
Gan Chin Heng, Emad S. Elmolla, Malay Chaudhuri
Abstract
Satisfactory prediction equation was derived using central composite design (CCD) and response surface methodology (RSM) to optimize the photo-Fenton process for removal of chemical oxygen demand (COD) from a sanitary landfill leachate. The optimum conditions for maximum value of the response were attributed to H2O2/COD ratio, H2O2/Fe2+ ratio and reaction time in the design space. The optimum points were at about H2O2/COD ratio 3.75, H2O2/Fe2+ ratio 10.0 and 1.5 h reaction time for 70% COD removal. This study reveals that RSM is an effective tool to optimize treatment process and photo-Fenton appeared to be an effective pretreatment for landfill leachate.
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Satisfactory prediction equation was derived using central composite design (CCD) and response surface methodology (RSM) to optimize the photo-Fenton process for removal of chemical oxygen demand (COD) from a sanitary landfill leachate. The optimum conditions for maximum value of the response were attributed to H2O2/COD ratio, H2O2/Fe2+ ratio and reaction time in the design space. The optimum points were at about H2O2/COD ratio 3.75, H2O2/Fe2+ ratio 10.0 and 1.5 h reaction time for 70% COD removal. This study reveals that RSM is an effective tool to optimize treatment process and photo-Fenton appeared to be an effective pretreatment for landfill leachate.
Key concepts: Leachate, Chemical oxygen demand, Response surface methodology, Central composite design, Chemistry, Environmental science, Process (computing), Pulp and paper industry