Simultaneous removal of suspended fine soil particles, strontium and cesium from soil washing effluent using inorganic flocculants

Lee, Hyun Kyu; Jun, Byung-Moon; Kim, Sun Il; Song, Jong-Soon; Kim, Tack-Jin; Park, Sungbin; Chang, Seeun

doi:10.1016/j.eti.2022.102467

Cited by 14 publications

(4 citation statements)

References 32 publications

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“…In the study conducted by Cheng [33], an efficiency higher than 58% is achieved in COD removal by applying polyaluminium ferric chloride. In the research developed by Lee [34], the efficiency in the removal of suspended solids is tested by measuring turbidity, in that investigation, the turbidity value decreased with increasing coagulant dosage. The turbidity value decreased steadily at 5 g/L dosage, and 10 g/L dosage approaches the turbidity value (25 NTU).…”

Section: Discussionmentioning

confidence: 99%

Machine Learning Techniques in the Dosage of Biopolymers and Coagulants for Leachate Treatment

Matovelle¹,

Quinteros²,

Heras³

2023

Preprint

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The leachate discharges generated in sanitary landfills contain many pollutants that are harmful to the environment; treatments are scarce and should be carried out better. The use of coagulation-flocculation processes has been one of the most widely used, but that; Due to the complexity of the characterization of the leachate, the dosing strategy of coagulants and biopolymers needs to be clarified. Therefore, the present study is carried out to determine the doses of coagulants and biopolymers suitable for coagulation-flocculation processes in the treatment of leachates by using computational models of machine learning techniques such as Artificial Neural Networks (ANN); these allow to decrease the operations of the tests of jars in the laboratory; optimizing resources. Through laboratory experimentation, there are real results of the effectiveness of applying biopolymers in leachate treatments at different concentration levels. The laboratory results were taken as input variables for the algorithms used; after the validation and calibration process, we proceeded to estimate predicted data with the computational model, obtaining predictions of optimal doses for treatment with high statistical adjustment indicators. It is verified that the applied coagulation-flocculation treatments reduce the turbidity values in the leachate and contaminants associated with suspended solids. In this way, the jar tests are optimized so that the operational costs decrease without affecting the results of adequate dosing.

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Section: Discussionmentioning

confidence: 99%

Machine Learning Techniques in the Dosage of Biopolymers and Coagulants for Leachate Treatment

Matovelle¹,

Quinteros²,

Heras³

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In the study conducted by Cheng [45], an efficiency higher than 58% is achieved in COD removal by applying polyaluminium ferric chloride. In the research developed by Lee [46], the efficiency in the removal of suspended solids is tested by measuring turbidity. In that investigation, the turbidity value decreased with increasing coagulant dosage.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning Techniques in Dosing Coagulants and Biopolymers for Treating Leachate Generated in Landfills

Matovelle,

Quinteros,

Heras

2023

Water

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The leachate discharges generated in sanitary landfills contain many pollutants that are harmful to the environment; treatments are scarce and should be carried out better. The use of coagulation–flocculation processes has been one of the most widely used, but due to the complexity of the characterization of the leachate, the dosing strategy of coagulants and biopolymers needs to be clarified. Therefore, the present study was carried out to determine the doses of coagulants and biopolymers suitable for coagulation–flocculation processes in the treatment of leachates using computational models of machine learning techniques such as artificial neural networks (ANNs); these allow for decreasing the operations of the tests of jars in the laboratory, optimizing resources. Through laboratory experimentation, there are real results of the effectiveness of applying biopolymers in leachate treatments at different concentration levels. The laboratory results were taken as input variables for the algorithms used; after the validation and calibration process, we proceeded to estimate predicted data with the computational model, obtaining predictions of optimal doses for treatment with high statistical adjustment indicators. It is verified that the applied coagulation–flocculation treatments reduce the turbidity values in the leachate and contaminants associated with suspended solids. In this way, the jar tests are optimized so that the operational costs decrease without affecting the results of adequate dosing.

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“…At present, various inorganic flocculants are widely applied in the purification of high turbid suspensions. 12 However, using a large amount of inorganic flocculant induces residual chemical substances, which are secondary pollutants in water. 13 Organic polymer flocculants, especially polyacrylamide (PAM), have been developed and attracted much attention because of their efficient purification capability with low dosage use.…”

Section: Introductionmentioning

confidence: 99%

“…The most critical issue in flocculation technology is the selection of an appropriate flocculant for specific wastewater. At present, various inorganic flocculants are widely applied in the purification of high turbid suspensions . However, using a large amount of inorganic flocculant induces residual chemical substances, which are secondary pollutants in water .…”

Section: Introductionmentioning

confidence: 99%

Green Photocatalytic Route To Synthesize Cross-Linked Polyacrylamide Flocculant for Flocculation of High Turbid Wastewater

Shi,

Zhou,

Liu

et al. 2024

Ind. Eng. Chem. Res.

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As one of the most important flocculants, polyacrylamide (PAM)-based materials show enhanced capability to purify highly turbid wastewater by prolonging the length of molecular chains and modifying functional groups, which, however, generally involves complex synthetic procedures and expensive functional guests. In this study, exfoliated g-C 3 N 4 colloids (CNCs) were used as sunlight-driven photocatalysts to trigger the radical polymerization of acrylamide (AM) without adding any initiator. More importantly, the CNCs also acted as a cross-linker to prolong the PAM chain, thus promoting the flocculation of turbid water. The CNCs content in the CNCs/ PAM hybrid (CNPAM), hybrid dosage, and pH value were optimized. We further studied the effects of stirring speed and time as well as sedimentation time on the flocculation behavior. Under optimal conditions, the CNPAM flocculant could effectively flocculate kaolin suspension with a transmittance of >93%. The fractal dimension analysis indicated floc size increased with the enhancement of the CNC content in the CNPAM flocculant. It was testified that the flocculant had good universality for high turbid water in different concentrations and with the presence of various inorganic salts. This study demonstrates the photocatalysis of CNCs is a green, time-saving, and economical route to prepare crossing-linked CNPAM skeleton and that CNCs are promising efficient flocculants for the purification of high turbid wastewater.

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Simultaneous removal of suspended fine soil particles, strontium and cesium from soil washing effluent using inorganic flocculants

Cited by 14 publications

References 32 publications

Machine Learning Techniques in the Dosage of Biopolymers and Coagulants for Leachate Treatment

Machine Learning Techniques in the Dosage of Biopolymers and Coagulants for Leachate Treatment

Machine Learning Techniques in Dosing Coagulants and Biopolymers for Treating Leachate Generated in Landfills

Green Photocatalytic Route To Synthesize Cross-Linked Polyacrylamide Flocculant for Flocculation of High Turbid Wastewater

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