Enhanced MBR by internal micro-electrolysis for degradation of anthraquinone dye wastewater

Qin, Lei; Zhang, Guoliang; Meng, Qin; Xu, Lusheng; Lv, Bosheng

doi:10.1016/j.cej.2012.09.006

Cited by 55 publications

(21 citation statements)

References 29 publications

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“…The BOD removal efficiency increased from the HRT of 5 to 17 h in a trend like municipal wastewater. The effluent BOD decreased to 8.7 mg/L with removal efficiency of 99.34% at HRT of 17 h. Then efficiency decreased because of self-degradation [ 61 ]. Consequently, the kinetic constants were calculated as K s equal to 163.55 mg L −1 and k equal to 3.56 d −1 , K d equal to 0.013 d −1 .…”

Section: Resultsmentioning

confidence: 99%

Performance evaluation and modeling of a submerged membrane bioreactor treating combined municipal and industrial wastewater using radial basis function artificial neural networks

Mirbagheri

Bagheri

Boudaghpour

et al. 2015

J Environ Health Sci Engineer

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Treatment process models are efficient tools to assure proper operation and better control of wastewater treatment systems. The current research was an effort to evaluate performance of a submerged membrane bioreactor (SMBR) treating combined municipal and industrial wastewater and to simulate effluent quality parameters of the SMBR using a radial basis function artificial neural network (RBFANN). The results showed that the treatment efficiencies increase and hydraulic retention time (HRT) decreases for combined wastewater compared with municipal and industrial wastewaters. The BOD, COD, and total phosphorous (TP) removal efficiencies for combined wastewater at HRT of 7 hours were 96.9%, 96%, 96.7% and 92%, respectively. As desirable criteria for treating wastewater, the TBOD/TP ratio increased, the BOD and COD concentrations decreased to 700 and 1000 mg/L, respectively and the BOD/COD ratio was about 0.5 for combined wastewater. The training procedures of the RBFANN models were successful for all predicted components. The train and test models showed an almost perfect match between the experimental and predicted values of effluent BOD, COD, and TP. The coefficient of determination (R2) values were higher than 0.98 and root mean squared error (RMSE) values did not exceed 7% for train and test models.

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Section: Resultsmentioning

confidence: 99%

Performance evaluation and modeling of a submerged membrane bioreactor treating combined municipal and industrial wastewater using radial basis function artificial neural networks

Mirbagheri

Bagheri

Boudaghpour

et al. 2015

J Environ Health Sci Engineer

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show abstract

“…The pH did not need to be adjusted, because the wastewater feed pH was 3.9 which was conducive to the micro electrolysis (Li et al 2010). When those fillers were in contact with wastewater, numerous microscopic galvanic cells formed between the iron and carbon (Qin et al 2012). The reactions can be represented as:…”

Section: Resultsmentioning

confidence: 99%

Treatment of high salt oxidized modified starch waste water using micro-electrolysis, two-phase anaerobic aerobic and electrolysis for reuse

Xue-nong

Wang²

2016

Appl Water Sci

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A combined process of micro-electrolysis, twophase anaerobic, aerobic and electrolysis was investigated for the treatment of oxidized modified starch wastewater (OMSW). Optimum ranges for important operating variables were experimentally determined and the treated water was tested for reuse in the production process of corn starch. The optimum hydraulic retention time (HRT) of micro-electrolysis, methanation reactor, aerobic process and electrolysis process were 5, 24, 12 and 3 h, respectively. The addition of iron-carbon fillers to the acidification reactor was 200 mg/L while the best current density of electrolysis was 300 A/m 2 . The biodegradability was improved from 0.12 to 0.34 by micro-electrolysis. The whole treatment was found to be effective with removal of 96 % of the chemical oxygen demand (COD), 0.71 L/day of methane energy recovery. In addition, active chlorine production (15,720 mg/L) was obtained by electrolysis. The advantage of this hybrid process is that, through appropriate control of reaction conditions, effect from high concentration of salt on the treatment was avoided. Moreover, the process also produced the material needed in the production of oxidized starch while remaining emission-free and solved the problem of high process cost.

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“…ME has been widely used in refractory wastewater treatment, including pharmacy wastewater, steel pickling waste liquor, palm oil mill wastewater, heavy metal wastewater, ionic liquids wastewater, coking wastewater, antibiotic metronidazole wastewater, and dye wastewater . The ME reactor has been shown to remove or reduce the concentration of refractory organics in wastewater and enhance its biodegradability .…”

Section: Introductionmentioning

confidence: 99%

Performance of a coupled micro-electrolysis, anaerobic and aerobic system for oxytetracycline (OTC) production wastewater treatment

Xi³

et al. 2015

J. Chem. Technol. Biotechnol.

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Enhanced MBR by internal micro-electrolysis for degradation of anthraquinone dye wastewater

Cited by 55 publications

References 29 publications

Performance evaluation and modeling of a submerged membrane bioreactor treating combined municipal and industrial wastewater using radial basis function artificial neural networks

Performance evaluation and modeling of a submerged membrane bioreactor treating combined municipal and industrial wastewater using radial basis function artificial neural networks

Treatment of high salt oxidized modified starch waste water using micro-electrolysis, two-phase anaerobic aerobic and electrolysis for reuse

Performance of a coupled micro-electrolysis, anaerobic and aerobic system for oxytetracycline (OTC) production wastewater treatment

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