2019
DOI: 10.1080/19648189.2019.1640139
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Application of the response surface methodology (RSM) in heavy metal removal from real power plant wastewater using electrocoagulation

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Cited by 29 publications
(15 citation statements)
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“…Moreover, a high value of the corrected coefficient of determination (85.32%) indicates a high degree of model fit to another sample of data from the same population. The obtained values ( R 2 ) are comparable to the other available data regarding heavy metal removal from real power plant wastewater using electrocoagulation ( R 2 = 99.5% and R 2 = 99.6% for iron and nickel, respectively) [ 63 ], biosorption of Hg (II) ions from aqueous media by Polyporus squamosus ( R 2 = 92.4%) [ 64 ] and optimization of coagulation–flocculation process for wastewater originating from automotive industry and containing Fe, Cr, Cu ions ( R 2 = 92.08%, R 2 = 93.62%, R 2 = 71.87% for Fe, Cr, Cu removal, respectively) [ 65 ] and also for organic substances ( R 2 = 0.8477, R 2 adj = 0.7462) [ 66 , 67 ]. Table 5 presents the results of the model adequacy verification using an analysis of variance.…”
Section: Resultssupporting
confidence: 81%
“…Moreover, a high value of the corrected coefficient of determination (85.32%) indicates a high degree of model fit to another sample of data from the same population. The obtained values ( R 2 ) are comparable to the other available data regarding heavy metal removal from real power plant wastewater using electrocoagulation ( R 2 = 99.5% and R 2 = 99.6% for iron and nickel, respectively) [ 63 ], biosorption of Hg (II) ions from aqueous media by Polyporus squamosus ( R 2 = 92.4%) [ 64 ] and optimization of coagulation–flocculation process for wastewater originating from automotive industry and containing Fe, Cr, Cu ions ( R 2 = 92.08%, R 2 = 93.62%, R 2 = 71.87% for Fe, Cr, Cu removal, respectively) [ 65 ] and also for organic substances ( R 2 = 0.8477, R 2 adj = 0.7462) [ 66 , 67 ]. Table 5 presents the results of the model adequacy verification using an analysis of variance.…”
Section: Resultssupporting
confidence: 81%
“…For comparing models, the latter is more relevant than R 2 adj as it is focused on observations that are not involved in the model. 49 The estimated values of R 2 pred expected the developed model to explain about 99.59, 99.89 and 99.94 % for COD (Y 1 ), BOD 5 (Y 2 ), and turbidity (Y 3 ), respectively, of variability in forecasting new findings.…”
Section: Statistical Analysis Optimisation and Model Validationmentioning
confidence: 80%
“…The solution pH is a key parameter in the removal of pollutants, significantly altering the physicochemical properties of the electrocoagulation process [64]. In the current work, the assays were conducted between 3.56 and 10.44 to evaluate the simultaneous efficacy of initial pH and treatment time for color and COD removal efficiencies ( Figs.…”
Section: Simultaneous Efficacy Of Critical Parameters On the Removal mentioning
confidence: 99%