Literature DB >> 20430606

Application of response surface methodology to the advanced treatment of biologically stabilized landfill leachate using Fenton's reagent.

Huosheng Li1, Shaoqi Zhou, Yanbo Sun, Jiang Lv.   

Abstract

A Fenton process that uses FeCl(2) 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 FeSO(4) 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 ([Fe(2+)]), H(2)O(2)/Fe(II) mole ratio ([H(2)O(2)]/[Fe(2+)] 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 [H(2)O(2)]/[Fe(2+)] ratio has a significant effect on the COD removal, while the interaction between [H(2)O(2)]/[Fe(2+)] ratio and reaction time shows a large impact on color removal. The optimal conditions were found to be initial pH 5.9, [Fe(2+)]=9.60 mmol/L, [H(2)O(2)]/[Fe(2+)] 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 BOD(5)/COD ratio from 0.05 to 0.21.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20430606     DOI: 10.1016/j.wasman.2010.03.036

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  Fenton's reagent-enhanced supercritical water oxidation of wastewater released from 3-hydroxypyridine production.

Authors:  Junru Bu; Huan Liu; Chunmian Lin
Journal:  RSC Adv       Date:  2019-09-17       Impact factor: 4.036

  1 in total

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