Petrochemical wastewater treatment by electro-Fenton process using aluminum and iron electrodes: Statistical comparison

Davarnejad, Reza; Mohammadi, Mohammad Javad; Ismail, Ahmad Fauzi

doi:10.1016/j.jwpe.2014.08.002

Cited by 84 publications

(40 citation statements)

References 32 publications

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“…A ratio greater than 4 is desirable one [12,29]. For the present work, signal to noise ratios were around 36.870 and 39.878 for COD and color removal, respectively.…”

Section: Regression Models and Statistical Testingmentioning

confidence: 56%

“…The closeness of R 2 , R 2 adjusted, R 2 predicted to one indicates that regression model is suitable for this research [28,29]. The ANOVA for COD and color removal showed that F-values are 82.56 and 106.48 for the quadratic model.…”

Section: Regression Models and Statistical Testingmentioning

confidence: 63%

“…Therefore, the model is significant. The large F-value indicates that most of the variation in the response can be explained by the regression model [29]. The prob>F-value (was less than 0.05) indicates that model terms are significant, as well [12,29].…”

Section: Regression Models and Statistical Testingmentioning

confidence: 99%

“…The large F-value indicates that most of the variation in the response can be explained by the regression model [29]. The prob>F-value (was less than 0.05) indicates that model terms are significant, as well [12,29]. The coefficient of variance (CV) (as the ratio of the standard error of estimated data to the mean value of the observed response) is a normative of the model reproducibility [29,30].…”

Section: Regression Models and Statistical Testingmentioning

confidence: 99%

See 3 more Smart Citations

Dairy wastewater treatment using an electrochemical method: Experimental and statistical study

Davarnejad

Nikseresht

2016

Journal of Electroanalytical Chemistry

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“…A ratio greater than 4 is desirable one [12,29]. For the present work, signal to noise ratios were around 36.870 and 39.878 for COD and color removal, respectively.…”

Section: Regression Models and Statistical Testingmentioning

confidence: 56%

Section: Regression Models and Statistical Testingmentioning

confidence: 63%

Section: Regression Models and Statistical Testingmentioning

confidence: 99%

Section: Regression Models and Statistical Testingmentioning

confidence: 99%

See 2 more Smart Citations

Dairy wastewater treatment using an electrochemical method: Experimental and statistical study

Davarnejad

Nikseresht

2016

Journal of Electroanalytical Chemistry

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“…Apart of that, there are other several methods that been proposed in treating industry wastewater such as electrochemical coagulation [3], electron Fenton [4], membrane bioreactor [5], photocatalytic reaction [6], catalytic ozonation [7] and membrane [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

The effectiveness Study of Different Membranes in Treating Industrial Wastewater

et al. 2016

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Abstract. This paper focuses on the effectiveness study of different membranes in treating petroleum based wastewater. Polysulfone (PSF) and Polyether Sulfone (PES) were prepared using phase inversion method in NMP solvent. The composition of membrane was varied by manipulating the PVP additives concentration (5 wt%) in the membrane dope solution. The morphological study of prepared membranes was analysed using Field Emission Scanning Electron Microscope (FESEM) while the permeating flux and Chemical Oxygen Demand (COD) rejection rate were determined accordingly by using the refinery wastewater as the feed. The result found that the permeating flux increased as the operating pressure increased. However, for COD rejection, it was reported that only certain membrane show the best rejection. To clarify and support this finding, the membrane performance was further analyzed by determining the Total Dissolved Solid (TDS) rejection for PSF2 and PES2 membrane samples. The result showed that both membranes recorded relatively high TDS rejection which can be justified by the morphological studies of each samples. Therefore, this study proved that the membrane treatment have a high potential to treat the industrial wastewater for a larger scale.

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Study on Soybean Oil Plant Wastewater Treatment Using the Electro‐Fenton Technique

et al. 2019

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Due to its low viscosity, soybean oil is commonly used as edible oil. Its production is accompanied by a large amount of wastewater containing hazardous materials like phenolic compounds. In this study, the electro‐Fenton process with response surface methodology was applied for oil removal from wastewater of soybean oil plants. Five independent variables, including reaction time, pH, current density, molar ratio of H2O2 to Fe2+, and volume fraction of H2O2 to wastewater, were investigated for their effects on oil removal. The significant independent variables were optimized by the Box‐Behnken design. The optimum conditions were statistically obtained, and the results were confirmed by experiment. 92.66 % oil removal were experimentally found for the optimum conditions.

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Petrochemical wastewater treatment by electro-Fenton process using aluminum and iron electrodes: Statistical comparison

Cited by 84 publications

References 32 publications

Dairy wastewater treatment using an electrochemical method: Experimental and statistical study

Dairy wastewater treatment using an electrochemical method: Experimental and statistical study

The effectiveness Study of Different Membranes in Treating Industrial Wastewater

Study on Soybean Oil Plant Wastewater Treatment Using the Electro‐Fenton Technique

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