Electrochemical treatment of high strength chrome bathwater: A comparative study for best-operating conditions

Gilhotra, Vishakha; Yadav, Rekha; Sugha, Aditi; Das, Laxmi; Vashisht, Ashutosh; Bhatti, Rajbir; Bhatti, Manpreet S.

doi:10.1016/j.clet.2021.100093

Cited by 5 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The treatment time needed for the real scenario was much higher than that in the simulated experiment. [12] Electrocoagulation is a very complex phenomenon. There has been a lot of work done in recent years aiming to establish a statistical model to predict the outcome of the electrocoagulation process given a set of inputs.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a Generalized Statistical Model for Hexavalent Chromium Removal Using Electrocoagulation Through SVR Regression Analysis

Salem,

Abdelmonem,

Nassef

2023

AJCHE

View full text Add to dashboard Cite

Hexavalent chromium Cr(VI) is a highly toxic pollutant that poses a significant threat to human health and the environment. Electrocoagulation is a promising technology for the removal of Cr(VI) from wastewater. This work reviews and evaluates statistical models developed in different studies published between 2015 and 2021 on the removal of Cr(VI) using electrocoagulation. The analysis showed that none of the models was found to be conclusive, and that they all suffer from issues such as overfitting and the inability to generalize beyond the experiment domain. These models were also highly dependent on the selection of input parameters, model selection criteria, and experimental design. An attempt to solve this problem was to utilize Machine Learning (ML) techniques to develop a more robust model that can provide generalized and accurate predictions on a broader domain. The model was developed using Support Vector Machines Regression analysis (SVR). Data compiled from previously published works were used to train and test the model using a 50:50 split ratio. The model was able to make more generalized predictions but lacked accuracy. As with all ML models, this model requires a higher volume of high-quality data to improve its accuracy. The study concluded that there is still a need for more robust statistical models that can effectively capture the complexity of the electrocoagulation process and generalize well beyond the experiment domain.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Development of a Generalized Statistical Model for Hexavalent Chromium Removal Using Electrocoagulation Through SVR Regression Analysis

Salem,

Abdelmonem,

Nassef

2023

AJCHE

View full text Add to dashboard Cite

show abstract

“…With the development of modern industry, a large amount of chromium-containing wastewater inevitably enters the water and soil environment, endangering human health. Chromium often exists in water bodies in the state of Cr(III) and Cr(VI), which is highly toxic, difficult to degrade, and difficult to treat. , Currently, the commonly used treatment methods are adsorption, ion exchange, electrochemical, and reduction precipitation . The reduction precipitation method is widely used to treat highly concentrated acidic chromium-containing wastewater because of its easy operation, stable operation, and low price …”

Section: Introductionmentioning

confidence: 99%

Study on the Preparation of Nano-FeS Loaded on Fly Ash and Its Cr Removal Performance

Guo

Gao

et al. 2022

ACS Omega

View full text Add to dashboard Cite

Chromium has been considered as one of the most hazardous heavy metals because of its strong and persistent toxicity to the ecosystem and human beings. In this study, fly ash-loaded nano-FeS (nFeS-F) composites were constructed with fly ash as the carrier, and the performance and mechanism of the composites for the removal of Cr(VI) and total chromium from water were investigated. The composite was characterized by X-ray diffraction and transmission electron microscopy. The effects of fly ash size, molarity of FeSO 4 , and flow rate of FeSO 4 solution on the removal of Cr(VI) and total chromium were investigated by a single factor experiment. The interaction of various factors was studied by the Box-Behnken response surface methodology. The optimum conditions of removal of Cr(VI)and total chromium by nFeS-F were determined. The results show that ① the optimal preparation conditions for nFeS-F were an FeSO 4 concentration of 0.45 mol/L, a fly ash particle size of 120–150 mesh, and a flow rate of 0.43 mL/s.② The response surface model provides reliable predictions for the removal efficiencies of Cr(VI) and total chromium.③ The removal efficiencies of Cr(VI) and total chromium were 92.87 and 83.53%, respectively, under the optimal preparation conditions by the experimental test. This study provides an effective method for the removal of Cr(VI) and total chromium.

show abstract

Column optimization of adsorption and evaluation of bed parameters-based on removal of arsenite ion using rice husk

Antil

Singh

Bhagat

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

Electrochemical treatment of high strength chrome bathwater: A comparative study for best-operating conditions

Cited by 5 publications

References 24 publications

Development of a Generalized Statistical Model for Hexavalent Chromium Removal Using Electrocoagulation Through SVR Regression Analysis

Development of a Generalized Statistical Model for Hexavalent Chromium Removal Using Electrocoagulation Through SVR Regression Analysis

Study on the Preparation of Nano-FeS Loaded on Fly Ash and Its Cr Removal Performance

Column optimization of adsorption and evaluation of bed parameters-based on removal of arsenite ion using rice husk

Contact Info

Product

Resources

About