Roudi, A., Chelliapan, S., Kamyab, H., Md Din, M., Krishnan, S. (2019). Removal of COD from Landfill Leachate by Predication and Evaluation of Multiple Linear Regression (MLR) Model and Fenton process. test, 62(7), 1207-1218. doi: 10.21608/ejchem.2018.6429.1543
Anita Roudi; Shreeshivadasan Chelliapan; Hesam Kamyab; Mohd Fadhil Md Din; Santhana Krishnan. "Removal of COD from Landfill Leachate by Predication and Evaluation of Multiple Linear Regression (MLR) Model and Fenton process". test, 62, 7, 2019, 1207-1218. doi: 10.21608/ejchem.2018.6429.1543
Roudi, A., Chelliapan, S., Kamyab, H., Md Din, M., Krishnan, S. (2019). 'Removal of COD from Landfill Leachate by Predication and Evaluation of Multiple Linear Regression (MLR) Model and Fenton process', test, 62(7), pp. 1207-1218. doi: 10.21608/ejchem.2018.6429.1543
Roudi, A., Chelliapan, S., Kamyab, H., Md Din, M., Krishnan, S. Removal of COD from Landfill Leachate by Predication and Evaluation of Multiple Linear Regression (MLR) Model and Fenton process. test, 2019; 62(7): 1207-1218. doi: 10.21608/ejchem.2018.6429.1543

Removal of COD from Landfill Leachate by Predication and Evaluation of Multiple Linear Regression (MLR) Model and Fenton process

Egyptian Journal of Chemistry
Article 4, Volume 62, Issue 7, July 2019, Pages 1207-1218    PDF (1.22 M)
Document Type: Original Article
DOI: 10.21608/ejchem.2018.6429.1543
Authors
Anita Roudi1; Shreeshivadasan Chelliapan2; Hesam Kamyab* 2; Mohd Fadhil Md Din3; Santhana Krishnan3
1Department of Environmental Engineering, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Malaysia
2Engineering department, Razak faculty of technology and Informatics ,Universiti Teknologi Malaysia Jalan sultan Yahya Petra 56100 Kuala Lumpur
3Center of Environmental Sustainability and Water Security (IPASA), Research Institute of Sustainable Environment (RISE), Universiti Teknologi Malaysia, 81310, Johor Bahru
Abstract
Municipal Solid Waste (MSW) landfill leachate contains highly concentrated organic substances which are hazardous to the environment. Therefore, it must be treated before discharged into water bodies and suitable techniques are essential for effective treatment. In this regard, multiple linear regression (MLR) model has shown to be a favorable technique for optimization of landfill leachate treatment. In this study, four operational variables, H2O2:Fe2+ ratio, pH, reaction time, and Fe2+ concentration, were assessed using the model. The chemical oxygen demand (COD) removal was 96.43% by experiment, while the predicted assessment was 100% under the optimized settings; time = 33.87 min, concentration of Fe2+ = 749.64 mg/L, pH = 3, and ratio of H2O2:Fe2+ = 2 during Fenton treatment. The high value of the coefficient of determination, R2 = 0.896, designates a resilient relationship between the experimental and model values. The residual study (residual plot) specified that the points were randomly distributed, confirming the appropriateness of the model. The MLR model established may possibly be used for assessment of other landfill leachate treatment.
Keywords
Leachate; Fenton; Multiple Linear Regression (MLR); Chemical oxygen demand (COD)
Statistics
Article View: 916
PDF Download: 607