Application of response surface methodology to the advanced treatment of biologically stabilized landfill leachate using Fenton’s reagent |
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| Authors: | Huosheng Li Shaoqi Zhou Yanbo Sun Jiang Lv |
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| Institution: | 1. College of Environmental Science and Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, PR China;2. State Key Laboratory of Subtropical Building Sciences, South China University of Technology, Guangzhou 510641, PR China;3. Key Laboratory of Environmental Protection and Eco-remediation of Guangdong Regular Higher Education Institutions, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, PR China;4. College of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, PR China;1. FibEnTech Unit and Department of Chemistry, University of Beira Interior, 6201-001 Covilhã, Portugal;2. Unité de Recherche Electrochimie, Matériaux et Environnement (UREME), Faculté des Sciences de Gabès, Université de Gabès, Cité Erriadh, 6072 Gabès, Tunisia;3. Département de Chimie, Faculté des Sciences de Bizerte, Université de Carthage, 7021 Jarzouna, Tunisia;1. North Dakota State University, Fargo, ND, USA;2. Bursa Technical University, Bursa, Turkey;1. Program of Chemical Engineering, West Parana State University - UNIOESTE, Campus of Toledo, Rua da Faculdade 645, Jd. Santa Maria, 85903-000, Toledo, PR, Brazil;2. Program of Environment and Sustainable Technologies, Federal University of South Border, Rua Major Antônio Cardoso 1580, 97900-00, Cerro Largo, RS, Brazil |
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| Abstract: | A Fenton process that uses FeCl2 as the alternative catalyst was employed to deal with the biologically treated landfill leachate. Data obtained revealed that this Fenton process can provide an equivalent pollutant removal as the Fenton process that uses FeSO4 as catalyst. Central composite design (CCD) and response surface methodology (RSM) were applied to evaluate and optimize the four key factors, namely initial pH, Fe(II) dosage (Fe2+]), H2O2/Fe(II) mole ratio (H2O2]/Fe2+] ratio) and reaction time, which affect the performance of the Fenton treatment. Chemical oxygen demand (COD) and color were selected as response variables. This approach provided statistically significant quadratic models, which were adequate to predict responses and to carry out optimization under the conditions studied. It was demonstrated that the interaction between initial pH and H2O2]/Fe2+] ratio has a significant effect on the COD removal, while the interaction between H2O2]/Fe2+] ratio and reaction time shows a large impact on color removal. The optimal conditions were found to be initial pH 5.9, Fe2+] = 9.60 mmol/L, H2O2]/Fe2+] ratio = 2.38, reaction time = 5.52 h. Under this optimal scheme, the COD and color in the effluent were reduced to 159 mg/L and 25°, respectively, with an increase of BOD5/COD ratio from 0.05 to 0.21. |
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