Modeling of optimal conditions for leachate Chemical Oxygen Demand removal using the Sononanocatalytic method
Document Type : Research Paper
Authors
- 1 Department of Agriculture, Faculty of Technical-Engineering, Payam Noor University, Tehran, Iran
- 2 Waste Management Organization of Shiraz Municipality, Shiraz, Iran
Abstract
The management, control, and treatment of industrial wastewater and municipal waste landfill leachate are crucial for environmental protection and the preservation of underground water sources. This research is an experimental study with an applied approach conducted on a laboratory scale in a batch system. The effects of four factors (pH, nanoparticle dose, contact time, and ultrasound wave intensity) were investigated at three levels in a Sononanocatalytic process using copper oxide nanoparticles to remove COD from leachate. Optimal conditions for COD removal and the analysis of variance (ANOVA) model were reported. The comparison between experimental and predicted COD removal efficiency showed that the ANOVA model fit the data well. The optimal predicted values for pH, nanoparticle dose, contact time, and ultrasound intensity to achieve the highest COD removal efficiency were 6.39, 0.05 g, 60 min, and 84.89 KHz, respectively. The results also indicated that the response surface methodology is effective in reducing costs and tests, and examining the interactions between variables helps better understand their effects on the dependent variable.
Keywords
Subjects
Solid waste management
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