Modeling of membrane bioreactor treating hypersaline oily wastewater by artificial neural network

Journal of Hazardous Materials

Volumn 192, Issue 2, 2011, Pages 568-575

  Pendashteh, Ali Reza ^a,b   Fakhru'l Razi, A ^a   Chaibakhsh, Naz ^a   Abdullah, Luqman Chuah ^a   Madaeni, Sayed Siavash ^c   Abidin, Zurina Zainal ^a  

^a UNIVERSITY PUTRA MALAYSIA   (Malaysia)

^b AVICENNA RESEARCH INSTITUTE   (Iran)

^c RAZI UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Halophilic microorganisms; Hypersaline oily wastewater; Membrane bioreactor; Modeling

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DISCHARGE LIMIT; GOOD CORRELATIONS; HALOPHILIC MICROORGANISMS; HYPERSALINE; MEMBRANE BIOREACTOR; OIL AND GREASE; OILY WASTEWATER; OPERATIONAL DATA; ORGANIC LOADING RATES; REMOVAL RATE; SEQUENCING BATCH REACTORS; TESTING PROCEDURE; TOTAL DISSOLVED SOLIDS; TOTAL ORGANIC CARBON;

BATCH REACTORS; BIOREACTORS; EFFLUENTS; MICROORGANISMS; ORGANIC CARBON; WASTEWATER; WASTEWATER TREATMENT;

NEURAL NETWORKS;

OIL; SODIUM CHLORIDE;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOREACTOR; CHEMICAL OXYGEN DEMAND; CONCENTRATION (COMPOSITION); DATA SET; EFFLUENT; MEMBRANE; MICROBIAL COMMUNITY; NUMERICAL MODEL; TOTAL ORGANIC CARBON; WASTE TREATMENT; WASTEWATER; WATER TREATMENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOCHEMICAL OXYGEN DEMAND; CHEMICAL OXYGEN DEMAND; DISSOLUTION; EFFLUENT; MEMBRANE REACTOR; REACTION TIME; SEQUENCING BATCH REACTOR; TOTAL ORGANIC CARBON; WASTE COMPONENT REMOVAL; WASTE WATER MANAGEMENT;

BIOREACTORS; MEMBRANES, ARTIFICIAL; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER);

EID: 79960195404     PISSN: 03043894     EISSN: 18733336     Source Type: Journal    
DOI: 10.1016/j.jhazmat.2011.05.052     Document Type: Article

References (41)

1. Diaz M.P., Boyd K.G., Grigson S.J.W., Burgess J.G. Biodegradation of crude oil across a wide range of salinities by an extremely halotolerant bacterial consortium MPD-M, immobilized onto polypropylene fibers. Biotechnol. Bioeng. 2002, 79:145-153.
2. Neff J.M. Bioaccumulation in Marine Organisms: Effects of Contaminants from Oil Well Produced Water 2002, Elsevier Science Publishers, Amsterdam.
3. Tibbetts P.J.C., Buchanan I.T., Gawel L.J., Large R. A comprehensive determination of produced water composition. Technological/Environmental Issues and Solutions 1992, 97-113. Plenum Publishing Corp, New York. J.P. Ray, F.R. Engelhardt (Eds.).
4. USEPA, http://www.epa.gov/.
5. Tellez G.T., Nirmalakhandan N., Gardea-Torresdey J.L. Performance evaluation of an activated sludge system for removing petroleum hydrocarbons from oilfield produced water. Adv. Environ. Res. 2002, 6:455-470.
6. Fakhru'l-Razi A., Pendashteh A.R., Luqman Chuah A., Dayang Radiah A.B., Madaeni S.S., Zurina Z.A. Review of technologies for oil and gas produced water treatment. J. Hazard. Mater. 2009, 170:530-551.
7. Woolard C.R., Irvine R.L. Treatment of hypersaline wastewater in the sequencing batch reactor. Water Res. 1995, 29:1159-1168.
8. Venkata Mohan S., Chandrashekara Rao N., Krishna Prasad K., Madhavi B.T.V., Sharma P.N. Treatment of complex chemical wastewater in a sequencing batch reactor (SBR) with an aerobic suspended growth configuration. Process Biochem. 2005, 40:1501-1508.
9. Pendashteh A.R., Fakhru'l-Razi A., Luqman Chuah A., Dayang Radiah A.B., Madaeni S.S., Zainal Z.A. Biological treatment of produced water in a sequencing batch reactor by isolated halophilic microorganism consortium. J. Environ. Technol. 2010, 31:1229-1239.
10. Kang I.J., Lee C.H., Kim K.J. Characteristics of microfiltration membranes in a membrane coupled sequencing batch reactor system. Water Res. 2003, 37:1192-1197.
11. Le-Clech P., Chen V., Fane T.A.G. Fouling in membrane bioreactors used in wastewater treatment. J. Membr. Sci. 2006, 284:17-53.
12. Guclu D., Dursun S. Artificial neural network modelling of a large-scale wastewater treatment plant operation. Bioprocess Biosyst. Eng. 2010, 33:1051-1058.
13. Almeida J.S. Predictive non-linear modeling of complex data by artificial neural networks. Curr. Opin. Biotechnol. 2002, 13:72-76.
14. Hong S.H., Lee M.W., Lee D.S., Park J.M. Monitoring of sequencing batch reactor for nitrogen and phosphorus removal using neural networks. Biochem. Eng. J. 2007, 35:365-370.
15. Zeng G.M., Qin X.S., He L., Huang G.H., Liu H.L., Lin Y.P. A neural network predictive control system for paper mill wastewater treatment. Eng. Appl. Artif. Intell. 2003, 16:121-129.
16. Cinar O. New tool for evaluation of performance of wastewater treatment plant: artificial neural network. Process Biochem. 2005, 408:2980-2984.
17. Chen J.C., Chang N.B., Shieh W.K. Assessing wastewater reclamation potential by neural network model. Eng. Appl. Artif. Intell. 2003, 16:149-157.
18. Raduly B., Gernaey K.V., Capodaglio A.G., Mikkelsen P.S., Henze M. Artificial neural-networks for rapid WWTP performance evaluation: methodology and case study. Environ. Modell. Softw. 2007, 22:1208-1216.
19. Hanbay D., Turkoglu I., Demir Y. Prediction of chemical oxygen demand (COD) based on wavelet decomposition and neural networks. Clean 2007, 35:250-254.
20. Geissler S., Wintgens T., Melin T., Vossenkaul K., Kullmann C. Modelling approaches for filtration processes with novel submerged capillary modules in membrane bioreactors for wastewater treatment. Desalination 2005, 178:125-134.
21. Cinar O., Hasar H., Kinaci C. Modeling of submerged membrane bioreactor treating cheese whey wastewater by artificial neural network. J. Biotechnol. 2006, 123:204-209.
22. Peyton B., Wilsona T., Yonge D. Kinetics of phenol biodegradation in high salt solutions. Water Res. 2002, 36:4811-4820.
23. Tansel B., Regula J., Shalewitz R. Treatment of fuel oil and crude oil contaminated waters by ultrafiltration membranes. Desalination 1995, 102:301-311.
24. Thouand G., Bauda P., Oudot J., Kirsch G., Sutton C., Vidalie J.F. Laboratory evaluation of crude oil biodegradation with commercial or natural microbial inocula. Can. J. Microbiol. 1999, 45:106-115.
25. Bertrand J.C., Bianchi M., Mallah M.A., Acquaviva M., Mille G. Hydrocarbon biodegradation and hydrocarbonoclastic bacterial communities composition grown in seawater as a function of sodium chloride concentration. J. Esp. Mur. Biol. Ecol. 1993, 168:125-138.
26. Freire D.D.C., Sant'Anna G.L. A proposed method modification for the determination of COD in saline waters. Environ. Technol. 2002, 19:243-247.
27. APHA, AWWA, WEF Standard Methods for Examination of Water and Wastewater 2005, American Public Health Association, Washington, DC. 21st ed.
28. Liptak B.G. Instrument Engineers' Handbook: Process Control and Optimization 2006, CRC Press, FL.
29. Franco-Lara E., Link H., Weuster-Botz D. Evaluation of artificial neural networks for modelling and optimization of medium composition with a genetic algorithm. Process Biochem. 2006, 41:2200-2206.
30. Rojas R. Neural Networks: A Systematic Introduction 1996, Springer-Verlag Berlin Heidelberg, New York.
31. Basheer I.A., Hajmeer M. Artificial neural networks: fundamentals, computing, design, and application. J. Microbiol. Methods 2000, 43:3-31.
32. Mira J. Artificial Neural Nets Problem Solving Methods 2003, Springer-Verlag Berlin Heidelberg, New York.
33. Chow T.W.S., Cho S.Y. Neural Networks and Computing: Learning Algorithms and Applications 2007, Imperial College Press, Singapore.
34. Ye N. The Handbook of Data Mining 2003, Lawrence Erlbaum Associates, Inc., Publishers, Mahwah, New Jersey, USA.
35. Zainuddin Z., Mahat N., Abu Hassan Y. Improving the convergence of the backpropagation algorithm using local adaptive techniques. Int. J. Comput. Intell. 2002, 1:79-82.
36. Al-Daoud E. A comparison between three neural network models for classification problems. J. Artif. Intell. 2009, 2:56-64.
37. Duch W., Jankowski N. Survey of neural transfer functions. Neural Comput. Surv. 1999, 2:163-212.
38. Kamruzzaman J., Begg R., Sarker R.A. Artificial Neural Networks in Finance and Manufacturing 2006, Idea Group Publishing, PA.
39. Islam M., Yao X., Murase K. A constructive algorithm for training cooperative neural network ensembles. IEEE Trans. Neural Netw. 2003, 14:820-834.
40. Scholz W., Fuchs W. Treatment of oil contaminated wastewater in a membrane bioreactor. Water. Res. 2000, 34:3621-3629.
41. J. Veil, M.G. Puder, D. Elcock, R.J.J. Redweik, A white paper describing produced water from production of crude oil, natural gas, and coal bed methane, , 2004. http://www.netl.doe.gov/publications/oil_pubs/prodwaterpaper.pdf.