Study on Oil Refining Wastewater Treatment by Membrane Bioreactor with A/O Process

2012 ◽  
Vol 518-523 ◽  
pp. 2854-2857
Author(s):  
Guo De Li ◽  
Na Li ◽  
Shi Wei Wu

In this experimentation an A/O submerged membrane bioreactor was designed to study the treatment of oil-refining wastewater. The result show that the average effluent COD was below 18 mg/L, the removal rate of COD was over 97% and the removal rate was stable; the removal rate of NH4+-N was influenced by PH value, the average effluent NH4+-N was less than 0.97 mg/L and the average removal rate was over 98%; the average effluent oil was below 5mg/L and removal rate was over 96%; effluent phenol was less than 0.12mg/L and the removal rate was nearly 100%.

2020 ◽  
Vol 59 (6) ◽  
pp. 4633-4641
Author(s):  
Rachida El Morabet ◽  
Roohul Abad Khan ◽  
Javed Mallick ◽  
Nadeem A. Khan ◽  
Sirajuddin Ahmed ◽  
...  

2013 ◽  
Vol 448-453 ◽  
pp. 600-603
Author(s):  
Ling Jing ◽  
Xin Xia Wang

Aiming at the fact that the low concentration sewage in small cities, this paper presents Two-phase Anaerobic Baffled Reactor (TAABR) for living wastewater treatment, importantly, it designs and researches Two-phase Anaerobic Baffled Reactor and its advantages, designs a trial project according to the characteristics of the reactor equip. The experiment uses the method that by shortening HRT to raise the load to start and analyses the operating results during startup as follows: 1. 53 days later anaerobic reactor start-up successes.2. When the load is 0.5kgCOD/m3.d, the removal rate of COD is more than 80%. 3. PH value is not the main limiting factors during start up in the reactor and there is basically no danger of excessive acidification.


2012 ◽  
Vol 66 (12) ◽  
pp. 2546-2555 ◽  
Author(s):  
Miyoung Choi ◽  
Dong Whan Choi ◽  
Jung Yeol Lee ◽  
Young Suk Kim ◽  
Bun Su Kim ◽  
...  

Growing attention is given to pharmaceutical residue in the water environment. It is known that pharmaceuticals are able to survive from a series of wastewater treatment processes. Concerns regarding pharmaceutical residues are attributed to the fact that they are being detected in water and sediment environment ubiquitously. Pharmaceutical treatment using a series of wastewater treatment processes of the DAF (dissolved air flotation)–MBR (membrane bioreactor)–ozone oxidation was conducted in the study. DAF, without addition of coagulant, could remove CODcr (chemical oxygen demand by Cr) up to over 70%, BOD 73%, SS 83%, T-N 55%, NH4+ 23%, and T-P 65% in influent of municipal wastewater. Average removal rates of water quality parameters by the DAF–MBR system were very high, e.g. CODcr 95.88%, BOD5 99.66%, CODmn (chemical oxygen demand by Mn) 93.63%, T-N 69.75%, NH4-N 98.46%, T-P 78.23%, and SS 99.51%, which satisfy effluent water quality standards. Despite the high removal rate of the wastewater treatment system, pharmaceuticals were eliminated to be about 50–99% by the MBR system, depending on specific pharmaceuticals. Ibuprofen was well removed by MBR system up to over 95%, while removal rate of bezafibrate ranged between 50 and 90%. With over 5 mg/l of ozone oxidation, most pharmaceuticals which survived the DAF–MBR process were removed completely or resulted in very low survival rate within the range of few micrograms per litre. However, some pharmaceuticals such as bezafibrate and naproxen tended to be resistant to ozone oxidation.


2011 ◽  
Vol 356-360 ◽  
pp. 1109-1117
Author(s):  
Chun Hua Zhang ◽  
Yu Ying Dong ◽  
Feng Jie Zhang

In this study, a mathematical model has been developed for the submerged membrane bioreactor (SMBR). Polyvinyl alcohol (PVA) Modified Non-woven model is immerged in MBR to be used for synthetic wastewater treatment. The results show that membrane fouling resistance is mostly cake resistance occurring during filtration. Based on the concept of specific fouling resistance and Darcy law that describes the relationship between flux and resistance during filtration driven by pressure, a module is established to explain the relationship between specific fouling resistance and time during filtration controlled by cake resistance in SMBR. The decline trend of flux can be predicted by the model. The model is used to predict the decline trend of flux during pharmaceutical wastewater treatment. Compared with experimental data, the relative error is less than 10% at t>b, the relative error is less than 5% at t>2b. It shows that the model can predict the decline trend of flux during stable operation of SMBR. But the relative error is bigger during unstable operation at initial stage (t<b). The model developed in this study would provide a useful tool in optimizing operation conditions as well as design parameters for a SMBR system.


2019 ◽  
Vol 164 ◽  
pp. 18-30
Author(s):  
Yusmel González-Hernández ◽  
Sylvie Schetrite ◽  
Claire Albasi ◽  
Marion Alliet ◽  
Ulises Jáuregui-Haza

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