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Title
Japanese: 
English:Sequential treatment of surfactant-laden wastewater using low-cost rice husk ash coagulant and activated carbon: Modeling, optimization, characterization, and techno-economic analysis 
Author
Japanese: Derrick Dadebo, Derrick Dadebo, Mona G. Ibrahim, 藤井 学, Mahmoud Nasr.  
English: Derrick Dadebo, Derrick Dadebo, Mona G. Ibrahim, Manabu Fujii, Mahmoud Nasr.  
Language English 
Journal/Book name
Japanese: 
English:Bioresource Technology Reports 
Volume, Number, Page Vol. 22        pp. 101464-101464
Published date June 2023 
Publisher
Japanese: 
English:Elsevier BV 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
DOI https://doi.org/10.1016/j.biteb.2023.101464
Abstract Treating surfactant-laden wastewater by a sequential coagulation/flocculation (C/F) and adsorption process was investigated. The treatment process performance was modeled and optimized using response surface methodology (RSM) and artificial neural network (ANN). C/F using rice husk ash (RHA) coagulant provided 42.3 % surfactant removal at 3.79 g/L RHA dosage, pH 3.6, and 23 min slow-mixing time. For adsorption onto granular activated carbon (GAC), 96.5 % surfactant removal was maintained at 10 g/L GAC and pH = 4.5. The ANN model showed better predictive capabilities for C/F and adsorption than RSM. By applying real wastewater, the combined system effluent contained 367 ± 2.4, 18.4 ± 1.2, 4.2 ± 0.2, and 0.95 ± 0.06 mg/L for TDS, COD, oil-grease, and surfactants, respectively, with almost complete removals of turbidity and TSS. The integrated system exhibited a profitability scenario with 6.3 years payback period. The study output is beneficial for designing full-scale systems of surfactant-laden wastewater treatment and predicting the associated performance under various operating conditions.

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