High-rate humic acid removal from cellulose and paper industry wastewater by combining electrocoagulation process with adsorption onto granular activated carbon

Barhoumi, Afef; Ncib, Sana; Chibani, Amel; Brahmi, Khaled; Bouguerra, Wided; Elaloui, Elimame

doi:10.1016/j.indcrop.2019.111715

Cited by 48 publications

(18 citation statements)

References 29 publications

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“…However, it is necessary to consider the higher Water Supply Vol 00 No 0, 13 cost associated with this configuration. A possible way to reduce the costs is by reducing the removal requirement or the feed concentration by combining electrocoagulation with other processes, such as adsorption (Barhoumi et al 2019;Khan et al 2019). In this case, the lower cost associated with SM or P configurations could be an essential factor in choosing the best operating conditions.…”

Section: Optimization Of the Cec Processmentioning

confidence: 99%

Modeling and optimization of a continuous electrocoagulation process using an artificial intelligence approach

2021

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An artificial neural network (ANN) with the topology 8-94-85-2 (input – hidden layer 1 - hidden layer 2 - output) was used to model the operation of the continuous electrocoagulation (CEC) process for the removal of fluoride from water. After the ANN training, the sum of the squared errors (MSE) and the determination coefficient (R2) of the testing set model predictions were 0.0088 and 0.999, respectively, showing a good generalization and model's predictive capacity. The optimization of the process cost using the genetic algorithm (GA) showed that the optimal conditions are highly dependent on the feed concentration and the fluoride removal requirements. For a 5 L of water containing 10 mg/L of fluoride, the optimal conditions to reduce the fluoride concentration below the permissible limit (1.5 mg/L) are 88.3 mA of current intensity, a flow rate of 73.6 mL/min, and the use of a series monopolar (SM) electrode configuration, corresponding to a fluoride removal of 85% and an operating cost of 0.05 €/L.

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Section: Optimization Of the Cec Processmentioning

confidence: 99%

Modeling and optimization of a continuous electrocoagulation process using an artificial intelligence approach

2021

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“…Among these methods, adsorption is considered the most effective and economical method for the removal of HA from aqueous solutions (Doulia et al 2009). So far, several adsorbents such as fly ash (Wang & Zhu 2007), modified rice husk ash (Imyim & Prapalimrungsi 2010), bentonite and montmorillonite nanoparticles (Derakhshani & Naghizadeh 2018), chitosan-H 2 SO 4 beads (Ngah et al 2011), magnetic chitosan nanoparticles (Dong et al 2014), carbon nanotubes into zeolitic imidazolate framework (Li et al 2019), oxidized galena (Wang et al 2019), granular activated carbon (Barhoumi et al 2019), and hematite and silicates (Tohry et al 2021) have been successfully applied to remove humic substances but the adsorption performance is expected to be further improved by developing new adsorption materials.…”

Section: Introductionmentioning

confidence: 99%

Investigating the role of the morphology of the Zn-Al LDH on the adsorption of humic acid from aqueous solutions

Davoudli

Saadat

Rahsepar

et al. 2021

Water Science and Technology

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Flake Zn-Al layered double hydroxides (FLDHs) and microspheres of LDH (MLDHs) were fabricated with a simple hydrothermal method to investigate the role of the morphology of Zn-Al LDH for the humic acid (HA) adsorption from synthetic solutions and natural water. The effect of process variables i.e. contact time, initial concentration of HA, pH, and competitive ions on the adsorption was investigated. HA removal mechanism was also studied. The two adsorbents exhibited different adsorption behaviors for HA in the presence and absence of background ions, which may be highly correlated with the various adsorption mechanisms involved. Comparison of the HA removal capacity of these two adsorbents implies the superior adsorption capability of FLDH for removal of HA from synthetic solutions (9.5 mg/g), while the adsorption capacity of MLDH was higher for natural organic matters present in natural water samples containing co-existing ions (8.9 mg/g). The pseudo-second-order kinetics model and Longmuir isotherm model could adequately interpret the HA adsorption process for the studied adsorbents. Both LDHs exhibited good regeneration and recycling abilities.

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“…Due to all these adverse effects, such wastewater must be treated before discharge to the receiving environment and the pollutant concentrations must be reduced below the limit values specified in the regulations [11].Removal of color from wastewater is crucial for human health and sustainable water quality. In the literature, it was seen that many physical, chemical, biological and advanced treatment methods such as adsorption, biosorption, chemical oxidation, photolysis, chemical coagulation, flotation, ion exchange, electrodialysis, ozonation, membrane filtration were used in color removal from wastewater [12][13][14][15][16][17][18][19][20][21]. However, many of these methods require high investment and operating costs and also have various operational difficulties.…”

Section: Introcutionmentioning

confidence: 99%

“…Electrocoagulation experimental setup[37] 5 ml samples were taken at2,4,6, 8, 10, 12,14,16,18,20,25,30,35,45,60 minutes in all current densities (48.5 A/m 2 , 97.18 A/m 2 , 194.36 A/m 2 , 291.5 A/m 2 , 388.7 A/m 2 ). After the samples were centrifuged, the measurement of all samples, including calibration, was performed at UV-Vis recording spectrophotometer at intervals of 0.5 nm between 200-800 nm.…”

mentioning

confidence: 99%

Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks

Oyar

Eren

Özdemir

2020

Sakarya University Journal of Science

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The wide range of today's industry increases the diversity of pollutants in the wastewater characteristics. In particular, the wastewater of the textile industry is highly colored. Different techniques are used for color removal of dyes from wastewater. In this work, the removal efficiency of the textile dye (Reactive Black 5) at different current densities (48.5 A/m 2 , 97.18 A/m 2 , 194.36 A/m 2 , 291.5 A/m 2 , 388.7 A/m 2) was investigated by electrocoagulation method. The dye concentration of wastewater prepared in the laboratory scale was adjusted to 100 mg/L. Two iron electrodes and 3 g NaCl were used in the electrocoagulation system. The samples which taken periodically were measured after the centrifugal processes with the UV spectrophotometer. The experimental results were also modelled with artificial neural networks (ANNs). As a result of the experiments, approximately 90-100% color removal efficiency was obtained. According to the modelling study, the ANNs can predict the color removal efficiency with coefficient of determination (R 2) between the experimental and predicted output variable reached up to 0.99.

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High-rate humic acid removal from cellulose and paper industry wastewater by combining electrocoagulation process with adsorption onto granular activated carbon

Cited by 48 publications

References 29 publications

Modeling and optimization of a continuous electrocoagulation process using an artificial intelligence approach

Modeling and optimization of a continuous electrocoagulation process using an artificial intelligence approach

Investigating the role of the morphology of the Zn-Al LDH on the adsorption of humic acid from aqueous solutions

Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks

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