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Optimization of membrane fouling process for mustard tuber wastewater treatment in an anoxic-oxic biofilm-membrane bioreactor
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  • Journal title : Environmental Engineering Research
  • Volume 21, Issue 2,  2016, pp.196-202
  • Publisher : Korean Society of Environmental Engineering
  • DOI : 10.4491/eer.2015.093
 Title & Authors
Optimization of membrane fouling process for mustard tuber wastewater treatment in an anoxic-oxic biofilm-membrane bioreactor
Chai, Hongxiang; Li, Liang; Wei, Yinghua; Zhou, Jian; Kang, Wei; Shao, Zhiyu; He, Qiang;
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Membrane bioreactor (MBR) technology has previously been used by water industry to treat high salinity wastewater. In this study, an anoxic-oxic biofilm-membrane bioreactor (AOB-MBR) system has been developed to treat mustard tuber wastewater of 10% salinity (calculated as NaCl). To figure out the effects of operating conditions of the AOB-MBR on membrane fouling rate (), response surface methodology was used to evaluate the interaction effect of the three key operational parameters, namely time interval for pump (t), aeration intensity () and transmembrane pressure (TMP). The optimal condition for lowest membrane fouling rate () was obtained: time interval was 4.0 min, aeration intensity was and transmembrane pressure was 19.0 kPa. And under this condition, the treatment efficiency with different influent loads, i.e. 1.0, 1.9 and was researched. When the reactor influent load was less than , the effluent could meet the third discharge standard of "Integrated Wastewater Discharge Standard". This study suggests that the model fitted by response surface methodology can predict accurately membrane fouling rate within the specified design space. And it is feasible to apply the AOB-MBR in the pickled mustard tuber factory, achieving satisfying effluent quality.
Anoxic-aerobic biofilm-membrane bioreactor (AOB-MBR);Membrane fouling;Mustard tuber wastewater;Response surface methodology;Treatment efficiency;
 Cited by
Chai H, Kang W. Influence of biofilm density on anaerobic sequencing batch biofilm reactor treating mustard tuber wastewater. Appl. Biochem. Biotechnol. 2012;168:1664-1671. crossref(new window)

Park JH, Li XF, Edraki M, Baumgartl T, Kirsch B. Geochemical assessments and classification of coal mine spoils for better understanding of potential salinity issues at closure. Environ. Sci. Proc. Impacts. 2013;15:1235-1244. crossref(new window)

Hu Q, Hu S. Effects of salinity on performance of membrane bioreactor for wastewater treatment. Environ. Pollut. Contr. 2012;34:60-63, 71.

Jang D, Hwang Y, Shin H, Lee W. Effects of salinity on the characteristics of biomass and membrane fouling in membrane bioreactors. Bioresource Technol. 2013;141:50-56. crossref(new window)

Lefebvre O, Moletta R. Treatment of organic pollution in industrial saline wastewater: A literature review. Water Res. 2006;40:3671-3682. crossref(new window)

Vallero MVG, Hulshoff Pol LW, Lettinga G, Lens PNL. Effect of NaCl on thermophilic (55C) methanol degradation in sulfate reducing granular sludge reactors. Water Res. 2003;37:2269- 2280. crossref(new window)

Uygur A. Specific nutrient removal rates in saline wastewater treatment using sequencing batch reactor. Process Biochem. 2006;41:61-66. crossref(new window)

Jeison D, Kremer B, van Lier JB. Application of membrane enhanced biomass retention to the anaerobic treatment of acidified wastewaters under extreme saline conditions. Sep. Purif. Technol. 2008;64:198-205. crossref(new window)

Boopathy R, Bonvillain C, Fontenot Q, Kilgen M. Biological treatment of low-salinity shrimp aquaculture wastewater using sequencing batch reactor. Int. Biodeterior. Biodegrad. 2007;59: 16-19. crossref(new window)

Fontenot Q, Bonvillain C, Kilgen M, Boopathy R. Effects of temperature, salinity, and carbon: nitrogen ratio on sequencing batch reactor treating shrimp aquaculture wastewater. Bioresource Technol. 2007;98:1700-1703. crossref(new window)

Tsuneda S, Mikami M, Kimochi Y, Hirata A. Effect of salinity on nitrous oxide emission in the biological nitrogen removal process for industrial wastewater. J. Hazard. Mater. 2005; 119:93-98. crossref(new window)

Aloui F, Khoufi S, Loukil S, Sayadi S. Performances of an activated sludge process for the treatment of fish processing saline wastewater. Desalination 2009;246:389-396. crossref(new window)

Zhou J, Gan C, Long T, Chai H. Research on efficiency of anaerobic sequencing batch biofilm reactor for hypersalt mustard tuber wastewater treatment. China Water Waste. 2006;22:77-80.

Shi XQ, Lefebvre O, Ng KK, Ng HY. Sequential anaerobic-aerobic treatment of pharmaceutical wastewater with high salinity. Bioresource Technol. 2014;153:79-86. crossref(new window)

Lu M, Zhang Z, Yu W. Biological treatment of oilfield-produced water: A field pilot study. Int. Biodeterior. Biodegrad. 2009;63:316-321. crossref(new window)

Di Bella G, Di Trapani D, Torregrossa M, Gaspareet V. Performance of a MBR pilot plant treating high strength wastewater subject to salinity increase: Analysis of biomass activity and fouling behaviour. Bioresource Technol. 2013;147:614-618. crossref(new window)

Di Trapani D, Di Bella G, Mannina G, Torregrossa M; Gaspare V. Comparison between moving bed-membrane bioreactor (MB-MBR) and membrane bioreactor (MBR) systems: Influence of wastewater salinity variation. Bioresource Technol. 2014; 162:60-69. crossref(new window)

Zhou J, Wu Q, Long T, Wang X. Establishment of microbiological system for treatment of mustard tuber wastewater with high salinity. China Water Waste. 2007;23:17-20, 25.

Wei Y. Study on the membrane fouling characteristics and treatment efficiency of the membrane bioreactor treating mustard tuber wastewater with high salinity. MASTER, Chongqing U. 2013.

Zheng H, Jiao S, Deng X, Feng L, Zhang H, Chen R. Optimization of preparation and application of PPFS by response surface methodology. Chinese J. Environ. Eng. 2012;6:9-14.

Rokhina EV, Sillanpaa M, Nolte MCM, Virkutyte J. Optimization of pulp mill effluent treatment with catalytic adsorbent using orthogonal second-order (Box-Behnken) experimental design. J. Environ. Monit. 2008;10:1304-1312. crossref(new window)

APHA. Standard Methods for Water and Wastewater Examination. Washington: American Public Health Association; 2005.

Guo J, Lin J, Fang F, Zhu Y, Bao Z. The chloride mask in COD determination of pickled mustard wastewater with high salt. J. Chongqing U. 2014;37:117-122.

Muhamad MH, Abdullah SRS, Mohamad AB, Rahman RA, Kadhum AAH. Application of response surface methodology (RSM) for optimisation of COD, NH3-N and 2,4-DCP removal from recycled paper wastewater in a pilot-scale granular activated carbon sequencing batch biofilm reactor (GAC-SBBR). J. Environ. Manage. 2013;121:179-190. crossref(new window)

Qiu Z, Aita GM, Mahalaxmi S. Optimization by response surface methodology of processing conditions for the ionic liquid pretreatment of energy cane bagasse. J. Chem. Technol. Biot. 2014;89:682-689. crossref(new window)

Yang X, Wang S, Lu N. Optimum aeration strength and its influencing factors for membrane fouling controll in an integrated membrane bioreactor. Technol. Water Treat. 2006;32:17-19.

Wang Z, Wu Z. Present situation and prospect of the biological treatment of wastewater with high salinity. Ind. Water Treat. 2002;22:1-4.

Artiga P, Toriello GG, Mendez R, Garrido JM. Use of a hybrid membrane bioreactor for the treatment of saline wastewater from a fish canning factory. Desalination 2008;221:518-525. crossref(new window)

Oyanedel V, Campos JL, Garrido JM, Lazarova V, Mendez R. Development of a membrane-assisted hybrid bioreactor for ammonia and COD removal in wastewaters. J. Chem. Technol. Biot. 2005;80:206-215. crossref(new window)

Chai H, Chen W, He Q, Zhou J. Effects of volumetric load in an anaerobic sequencing batch biofilm treating industrial saline wastewater. Environ. Technol. 2015;36:648-653. crossref(new window)

Li Y, Zhou S, Qiu Y, Wu S. Effect of Mixed-liquid Return Ratio on $A^2/O$ Process Performance. Chinese Environ. Sci. Technol. 2010;33:142-145.