
Cleaner Chemical Engineering, Год журнала: 2024, Номер unknown, С. 100129 - 100129
Опубликована: Ноя. 1, 2024
Язык: Английский
Cleaner Chemical Engineering, Год журнала: 2024, Номер unknown, С. 100129 - 100129
Опубликована: Ноя. 1, 2024
Язык: Английский
Environmental Chemistry Letters, Год журнала: 2025, Номер unknown
Опубликована: Янв. 22, 2025
Язык: Английский
Процитировано
3Water Environment Research, Год журнала: 2025, Номер 97(2)
Опубликована: Фев. 1, 2025
In this study, the treatment of landfill leachate wastewater by chemical coagulation, an electro-membrane bioreactor (e-MBR), and anaerobic hybrid system was studied. First, coagulation process applied to wastewater, which is referred their high organic pollutants. Aluminum sulfate (alum), poly aluminum chloride (PAC), ferric (FeCl3), ferrous (FeSO4) were used as coagulants. After determining coagulant type, pH optimization (6-10) amount (0.5-2.5 g/l) optimized. coagulation-flocculation experiments, optimum conditions determined 1.0 g/l alum at 9. At these conditions, oxygen demand (COD), total phenolic contents (TPC), color analyses examined 31.16%, 35.32%, 24.42% removal efficiencies obtained, respectively. pretreatment, e-MBR obtain further treatment. Iron (Fe) electrode ultrafiltration membrane (UP150) in system. 5, 10, 20 V electric current time-dependent flux measurements carried out. COD, TPC, performed both mixed liquor permeate. The results indicated that over ˃90% efficiency for achieved when increased from 5 V. addition, it also observed fouling decreased increased. Since still did not meet discharge criteria, obtained subjected 10 days incubation, found be 99.25%, 100%, 99.57%, PRACTIONER POINTS: bioreactor, Optimum 1 9 coagulation. It color, TPC 99.5%, 99.6%,
Язык: Английский
Процитировано
1Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(3)
Опубликована: Фев. 17, 2025
Язык: Английский
Процитировано
1Water Conservation Science and Engineering, Год журнала: 2025, Номер 10(2)
Опубликована: Май 8, 2025
Язык: Английский
Процитировано
0Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Май 8, 2025
The efficiency optimization methods for natural coagulants are often restricted due to non-scientific trial-and-error approaches. They inaccurate in predicting the complex interactions of jet mixing parameters, coagulant dosage, and environmental conditions. To overcome these obstacles, this research paper proposes advanced hybrid models machine learning enhance flocculation efficiency. We use CatBoost model with NTK learn intricate nonlinear among velocity, time, dose, pH, turbidity. is effective dealing categorical data like diverse coagulants. Meanwhile, boosts model's generalization capability, especially when sample size becomes small or experimental datasets applied. Lastly, SOMs MARS used identify pattern recognitions tracing crucial interaction parameters. Reinforcement techniques-that include DDPG SAC dynamic dosage-optimize real time. Utilizing NAS Hyperband automate tuning, timestamp was reduced by 40%. proposed heavily improve process 20-25% allow a good predictive accuracy 95-97%. Paramount, however, that has interpretability properties assured SHAP counterfactual explanations, which would give actionable insights into most influencing factors on flocculation. This work represents substantial advancement discipline since it introduces robust, interpretable, real-time offer practical tool through improvement water treatment processes be made both sustainable efficient.
Язык: Английский
Процитировано
0Chemical Engineering Communications, Год журнала: 2024, Номер 211(12), С. 1842 - 1863
Опубликована: Авг. 12, 2024
Highly turbid industrial effluent poses significant challenges to environmental sustainability. In this study, we investigated the optimal aggregation kinetics for removal of colloidal and particles in Cosmetics Personal Care Products (CPCP) using calcined eggshell (CES) industrial-grade aluminum sulfate as flocculants. The characteristics were determined following ASTM specifications, process optimization was carried out a response surface design approach. operating conditions at settling time 3 min found be pH 8, 0.2 g/L dosage CES, 10, 0.3 alum dosage. flocculation efficiencies CES 80% 78%, respectively, demonstrating effectiveness both flocculants removing reducing turbidity CPCP effluent. Mechanistic studies revealed that achieved particle through enmeshment inter-particle bridging with rate (1.3 × 10−7) lower floc breakup tendency (2.8 10−14) compared alum-sweep flocculation. hydrodynamics velocity gradient 269s−1 ≤ G 29s−1 indicated spontaneous agglomeration within period ≤10 min, indicating rapid efficient removal. findings study justify use sustainable effective option colloid/turbid from optimized mechanistic insights into contribute establishing an sedimentation geometry, specified aspect ratio, detention time, hypothetical settling, sludge depth ensuring favorable stability finished before discharge.
Язык: Английский
Процитировано
2Cleaner Chemical Engineering, Год журнала: 2024, Номер unknown, С. 100129 - 100129
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
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