Modeling the performance of upflow anaerobic filters treating paper-mill wastewater using gene-expression programming

Ecological Engineering

Volumn 37, Issue 3, 2011, Pages 523-528

  Seckin, Galip ^a   Yilmaz, Turan ^a   Guven, Aytac ^b   Yuceer, Ahmet ^a   Basibuyuk, Mesut ^a   Ersu, Cagatayhan B ^a  

^a CUKUROVA UNIVERSITY   (Turkey)

^b GAZIANTEP UNIVERSITY   (Turkey)

Author keywords

Anaerobic digestion; Gene expression programming; Mesophilic; Paper mill wastewater; Thermophilic

Indexed keywords

ANAEROBIC FILTERS; DATA ANALYSIS; DETERMINATION COEFFICIENTS; HYDRAULIC RETENTION TIME; INFORMATION CRITERION; MESOPHILIC; METHANE YIELD; MODELING STUDIES; ORGANIC LOADING RATES; ORGANIC LOADINGS; PREDICTIVE ABILITIES; ROOT MEAN SQUARE ERRORS; STATISTICAL CRITERION; THERMOPHILIC;

EFFLUENTS; FILTERS (FOR FLUIDS); GENE EXPRESSION; LOADING; METHANE; PAPER; WASTEWATER; WASTEWATER TREATMENT;

ANAEROBIC DIGESTION;

ANOXIC CONDITIONS; EFFLUENT; FILTER; GENE EXPRESSION; INDUSTRIAL WASTE; METHANE; MODEL TEST; ORGANIC MATTER; PERFORMANCE ASSESSMENT; PULP AND PAPER INDUSTRY; STATISTICAL APPLICATION; SUBSTRATE; WASTEWATER;

ANAEROBIC PROCESS; DIGESTION; EFFLUENT TREATMENT; EFFLUENTS; ESTIMATION; FILTERS; GENES; METHANE; PAPER MILLS; WASTE WATERS;

EID: 79551631825     PISSN: 09258574     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoleng.2010.12.002     Document Type: Article

References (20)

1. Ahn J.-H., Forster C.F. Kinetic analyses of the operation of mesophilic and thermophilic anaerobic filters treating a simulated starch wastewater. Process Biochem. 2000, 36:19-23.
2. Ahn J.-H., Forster C.F. A comparison of mesophilic and thermophilic anaerobic upflow filters. Biores. Technol. 2000, 73:201-205.
3. Akaike H. Information theory and an extension of the maximum likelihood principle. Second International Symposium on Information Theory 1973, 267-281. Academiai Kiado, Budapest. B.N. Petrov, F. Csaki (Eds.).
4. Chen Z., Ren N., Wang A., Zhang Z.P., Shi Y. A novel application of TPAD-MBR system to the pilot treatment of chemical synthesis-based pharmaceutical wastewater. Water Res. 2008, 42:3385-3392.
5. Ferreira C. Gene expression programming in problem solving. Proceedings of the 6th Online World conference on Soft Computing in Industrial Applications 2001, (invited tutorial).
6. Ferreira C. Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst. 2001, 13(2):87-129.
7. Guven A., Gunal M. A genetic programming approach for prediction of local scour downstream hydraulic structures. J. Irrig. Drain. Eng. 2008, 132(4):241-248.
8. Guven A., Aytek A. New approach for stage-discharge relationship: gene expression programming. J. Hydrol. Eng. 2009, 14(8):812-820.
9. Henze M., Harremoes P. Anaerobic treatment of wastewater in fixed film reactors - a literature review. Water Sci. Technol. 1983, 15:1-101.
10. Kim M., Ahn Y., Speece R.E. Comparative process stability and efficiency of anaerobic digestion; mesophilic vs. thermophilic. Water Res. 2002, 36:4369-4385.
11. Mougiakakou S.G., Tsouchlaraki A.L., Cassios C., Nikita K.S., Matsopoulos G.K., Uzunoglu N.K. SCAPEVIEWER: preliminary results of a landscape perception classification system based on neural network technology. Ecol. Eng. 2005, 24(1-2):5-15.
12. Mu Y., Yu H.Q. Simulation of biological hydrogen production in a UASB reactor using neural network and genetic algorithm. Int. J. Hydrogen Energy 2007, 32:3308-3314.
13. Naz M., Uyanik S., Yesilnacar M.I., Sahinkaya E. Side-by-side comparison of horizontal subsurface flow and free water surface flow constructed wetlands and artificial neural network (ANN) modelling approach. Ecol. Eng. 2009, 35(8):1255-1263.
14. Selvamurugan M., Doraisamy P., Maheswari M. An integrated treatment system for coffee processing wastewater using anaerobic and aerobic process. Ecol. Eng. 2010, 36(12):1686-1690.
15. Singh K.P., Basant N., Malik A., Jain G. Modeling the performance of up-flow anaerobic sludge blanket reactor based wastewater treatment plant using linear and nonlinear approaches - a case study. Anal. Chem. Acta 2010, 658:1-11.
16. Singhal A., Gomes J., Praveen V.V., Ramachandran K.B. Axial dispersion model for upflow anaerobic sludge blanket reactors. Biotechnol. Prog. 1998, 14:645-648.
17. Sinha S., Bose P., Jawed M., John S. Application of neural network for simulation of upflow anaerobic sludge blanket (UASB) reactor performance. Biotechnol. Bioeng. 2002, 77:806-814.
18. Tay J.H., Show K.Y., Jeyaseelan S. Effects of media characteristics on performance of upflow anaerobics packed-bed reactors. J. Environ. Eng. 1996, 122:469-476.
19. Yilmaz T., Yuceer A., Basibuyuk M. A comparison of the performance of mesophilic and thermophilic anaerobic filters treating paper-mill wastewater. Bioresource Technol. 2008, 99(1):156-163.
20. Wu M.M., Hickey R.F. Dynamic model for UASB reactor including reactor hydraulics, reaction, and diffusion. J. Environ. Eng. - ASCE 1997, 123(3):244-252.