2011
DOI: 10.1016/j.jhazmat.2011.01.097
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Evaluation of electro-oxidation of biologically treated landfill leachate using response surface methodology

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Cited by 115 publications
(36 citation statements)
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“…The leachate samples for GC-MS analysis were prepared by following the procedure in the literature [24][25][26]. A 500 mL leachate sample was initially extracted with CH 2 Cl 2 (HPLC grade) under neutral condition, then in alkaline condition (pH 12) by adding drops of NaOH solution, and then in acidic condition (pH 2) by adding some 1/9 (in volume) H 2 SO 4 using separating funnel.…”
Section: Methodsmentioning
confidence: 99%
“…The leachate samples for GC-MS analysis were prepared by following the procedure in the literature [24][25][26]. A 500 mL leachate sample was initially extracted with CH 2 Cl 2 (HPLC grade) under neutral condition, then in alkaline condition (pH 12) by adding drops of NaOH solution, and then in acidic condition (pH 2) by adding some 1/9 (in volume) H 2 SO 4 using separating funnel.…”
Section: Methodsmentioning
confidence: 99%
“…1,2 Due to the recalcitrant characteristics of this leachate, its treatment has been extensively studied and a vast amount of relevant literature is available. [3][4][5][6][7][8][9] According to environmental regulations, the conditions and standards established for the discharge of effluent to water bodies must be adhered to. Thus, leachate cannot be discharged to natural water bodies without appropriate treatment since it contains high concentrations of pollutants, such as organic substances (evaluated through the chemical oxygen demand (COD) and biochemical oxygen demand (BOD)), ammonia, heavy metals and inorganic salts.…”
Section: Introductionmentioning
confidence: 99%
“…All the externally studentized residual were randomly scattered across the graph and Furthermore, there is no significant distribution pattern for all the diagnostics plots graphs. The residuals are normally distributed if the points on the plot follow a straight line [25] Normal probability plot of the studentized residuals to check for normality of residuals. The red line was produced by the software based on the externally studentized to define outliers as shown in the diagnostics plots Fig.(1-5).…”
Section: Resultsmentioning
confidence: 99%