Experimental test for high saline wastewater treatment in a submerged membrane bioreactor

2011 ◽  
Vol 36 (1-3) ◽  
pp. 171-177 ◽  
Author(s):  
Jin Li ◽  
Deshuang Yu ◽  
Dan Wang
Keyword(s):  
Wastewater Treatment ◽  
Experimental Test ◽  
Membrane Bioreactor ◽  
Saline Wastewater ◽  
Submerged Membrane Bioreactor

scholarly journals Comparative study of submerged membrane bioreactor and extended aeration process coupled with tubesettler for hospital wastewater treatment

2020 ◽  
Vol 59 (6) ◽  
pp. 4633-4641
Author(s):  
Rachida El Morabet ◽  
Roohul Abad Khan ◽  
Javed Mallick ◽  
Nadeem A. Khan ◽  
Sirajuddin Ahmed ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Comparative Study ◽  
Membrane Bioreactor ◽  
Hospital Wastewater ◽  
Submerged Membrane Bioreactor ◽  
Aeration Process

A critical review on saline wastewater treatment by membrane bioreactor (MBR) from a microbial perspective

Chemosphere ◽  
2019 ◽  
Vol 220 ◽  
pp. 1150-1162 ◽  
Author(s):  
Xu Tan ◽  
Isaac Acquah ◽  
Hanzhe Liu ◽  
Weiguo Li ◽  
Songwen Tan
Keyword(s):  
Wastewater Treatment ◽  
Critical Review ◽  
Membrane Bioreactor ◽  
Saline Wastewater

Modeling of PVA Modified Non-Woven for Submerged Membrane Bioreactor Treating Synthetic Wastewater

2011 ◽  
Vol 356-360 ◽  
pp. 1109-1117
Author(s):  
Chun Hua Zhang ◽  
Yu Ying Dong ◽  
Feng Jie Zhang
Keyword(s):  
Wastewater Treatment ◽  
Relative Error ◽  
Membrane Bioreactor ◽  
Synthetic Wastewater ◽  
Design Parameters ◽  
Stable Operation ◽  
Fouling Resistance ◽  
Submerged Membrane Bioreactor ◽  
Operation Conditions ◽  
The Relationship

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.

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