Optimization of Nitrate Removal Efficiency and Energy Consumption Using a Batch Monopolar Electrocoagulation: Prediction by RSM Method

Emamjomeh, Mohammad Mahdi; Jamali, Hamzeh Ali; Moradnia, Maryam

doi:10.1061/(asce)ee.1943-7870.0001210

Cited by 33 publications

(9 citation statements)

References 43 publications

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“…According to the report of Khoshnamvand et al, lack of fit value is calculated using the difference between sum of the squares for the experimental response variable and its predicted values by the model (19). In the case of significant lack of fit, the model is considered valid (18). AP is the signal-to-noise ratio, which compares the range of predicted values at the design points to the average prediction error.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, this method is unable to evaluate the interactive effects of factors and has a high error rate. Therefore, researchers employ the response surface methodology (RSM), which is a set of mathematical and statistical techniques (18,19) for designing experiments, modeling, optimization, and analyzing the interactive effects of different parameters. In addition, central composite design (CCD) is one of the most commonly used arrangements of RSM in the design of experiments (20,21).…”

Section: Introductionmentioning

confidence: 99%

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Chromium removal and water recycling from electroplating wastewater through direct osmosis: Modeling and optimization by response surface methodology

Naghdali

Sahebi

Ghanbari

et al. 2019

Environ Health Eng Manag

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Background: Considering the carcinogenic effects of heavy metals, such as chromium, it is essential to remove these elements from water and wastewater. Direct osmosis is a new membrane technology, which can be a proper alternative to conventional chromium removal processes. Methods: The wastewater samples were collected from an electroplating unit, located in Alborz industrial city, Qazvin, Iran. Magnesium chloride was used as the draw solution, and a semipermeable membrane (Aquaporin) was used in this study. The experiments were designed, using response surface methodology (RSM) and central composite design (CCD) with draw solution concentration (0.5- 1.5 M), feed solution concentration (4-12 mg/L), and experiment time (30-90 minutes) as variable factors. The chromium concentration and water flux were also measured, based on atomic absorption spectrophotometry and water flux equation, respectively. Results: Direct osmosis was highly efficient in chromium removal and water recycling. Water flux and chromium removal efficiency were 15.6 LMH and 85.58%, respectively, under optimal conditions (draw solution = 1.27 mol/L, feed solution = 4 mg/L, and experiment time = 90 min). In terms of validity, the results predicted by the quadratic polynomial model were in good agreement with the responses reported in the laboratory. Conclusion: In direct osmosis, the use of magnesium chloride as the draw solution resulted in the acceptable chromium removal from electroplating wastewater. Using this method, chromium concentration in wastewater reduced to a level lower than the discharge standards, established by Iran’s Department of Environment.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Chromium removal and water recycling from electroplating wastewater through direct osmosis: Modeling and optimization by response surface methodology

Naghdali

Sahebi

Ghanbari

et al. 2019

Environ Health Eng Manag

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show abstract

“…In classic optimization method, one variables changes at a time, while other parameters are kept constant [[27], [28], [29]]. But the classic method is not able to determine the complex interaction between the variables and responses [30,31]. RSM has been derived from statistical and mathematical techniques which can be used for studying the effect of different factors at various levels and their interactions [32].…”

Section: Methods Detailsmentioning

confidence: 99%

Optimization of saline wastewater treatment using electrochemical oxidation process: Prediction by RSM method

et al. 2019

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“…These pollutants are also generally formed by anthropogenic processes such as agricultural activities (including inorganic chemical fertilizer and organic livestock manures), industrial wastewater discharges, wastewater treatment, and motor vehicles [[1], [2], [3]]. Nowadays, intensive usage of nitrogeneos fertilizers in agriculture and runoff are the major pollution source for drinking water supplies [4].…”

Section: Methods Detailsmentioning

confidence: 99%

Evaluation of carcinogenic risks related to nitrate exposure in drinking water in Iran

et al. 2019

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Optimization of Nitrate Removal Efficiency and Energy Consumption Using a Batch Monopolar Electrocoagulation: Prediction by RSM Method

Cited by 33 publications

References 43 publications

Chromium removal and water recycling from electroplating wastewater through direct osmosis: Modeling and optimization by response surface methodology

Chromium removal and water recycling from electroplating wastewater through direct osmosis: Modeling and optimization by response surface methodology

Optimization of saline wastewater treatment using electrochemical oxidation process: Prediction by RSM method

Evaluation of carcinogenic risks related to nitrate exposure in drinking water in Iran

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