Square surface aerator: Process modeling and parameter optimization

Journal of Environmental Informatics

Volumn 9, Issue 2, 2007, Pages 108-117

  Rao, A R K ^a   Kumar, B ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Dynamic similarity; Geometric similarity; Multiple regressions; Neural network; Prediction error surface; Surface aerator

Indexed keywords

AERATION; COMPUTER SIMULATION; DYNAMIC PROPERTY; EXPERIMENTAL STUDY; GEOMETRY; MULTIPLE REGRESSION; NUMERICAL MODEL; OPTIMIZATION;

EID: 34447633925     PISSN: 17262135     EISSN: 16848799     Source Type: Journal    
DOI: 10.3808/jei.200700092     Document Type: Article

References (29)

1. Backhurst, J.R., Harker, J.H. and Kaul, S.N. (1988). The performance of pilot and full-scale vertical shaft aerators, Water Res., 22, 1239.
2. Fair, G.M., Gayer, J.C. and Okum, D.A. (1971). Elements of Water Supply and Waste Water Disposal, John Wiley & Sons, New York.
3. Garson, G.D. (1991). Interpreting neural-network connection weights. Artif. Intell. Expert, 6(4), 47-51.
4. Gevrey, M., Dimopoulos, I. and Lek, S. (2003). Review and comparison of methods to study the contribution of variables in artificial neural network models. Ecol. Model., 160, 249-264.
5. Hagan, M.T. and Menhaj, M.B. (1994). Training feedforward networks with the Marquardt algorithm. IEEE Trans. Neural Netw., 5, 989-993.
6. Haykin, S. (1994). Neural Networks: A Comprehensive Foundation, Macmillan, New York.
7. Kleijnen, J.P.C. and Sargent, R.G. (2000). A methodology for fitting and validating metamodels in simulation. Eur. J. Oper. Res., 120, 14-29.
8. Lek, S., Delacoste, M., Baran, P., Dimopoulos, I., Lauga, J. and Aulagnier, S. (1996). Application of neural networks to modeling nonlinear relationships in ecology. Ecol. Model., 90, 39-52.
9. McWhirter, J.R., Chern, J. and Hutter, J.C. (1995). Oxygen mass transfer fundamentals of surface aerators. Ind. Eng. Chem. Res., 34, 2644-2654.
10. MATLAB® Version 7, The mathworks.com.
11. Maier, H.R., Dandy, G.C. and Burch, M.D. (1998). Use of artificial neural networks for modelling Cyanobacteria anabaena spp. in the river Murray, South Australia. Ecol. Model., 105, 257-272.
12. Metcalf & Eddy Inc. (2004). Waste Water Engineering: Treatment Disposal and Reuse, Tata McGraw-Hill, New Delhi.
13. Nagata, S., Yokoyama, T. and Maeda, H. (1956). Memoires Fac. Eng., in G.B. Tatterson (1991), Fluid Mixing and Gas Dispersion in Agitated Tanks, McGraw-Hill, USA.
14. Nagata, S. (1975). Mixing Principles and Applications, John Wiley & sons, New York.
15. Olden, J.D. and Jackson, D.A. (2002). Illuminating the "blackbox": understanding variable contributions in artificial neural networks. Ecol. Model., 154, 135-150.
16. Ognean, T. (1993). Dimensionless criteria for estimating oxygen transfer in aeration system. Biotechnol. Bioeng., 41, 1014.
17. Ozesmi, S.L. and Ozesmi, U. (1999). An artificial neural network approach to spatial habitat modeling with inter specific interaction. Ecol. Model., 116, 15-31.
18. Patil, S.S., Deshmukh, N.A. and Joshi, J.B. (2004). Mass transfer characteristics of surface aerators and gas-inducing impellers. Ind. Eng. Chem. Res., 43, 2765.
19. Rao, A.R.K (1999). Prediction of reaeration rates in square, stirred tanks. J. Environ. Eng., ASCE, 125(3), 215-233.
20. Rao, A.R.K., Bharathi Laxmi, B.V. and Subba Narasiah, K. (2004). Simulation of oxygen transfer rates in circular aeration tanks. Water Qual. Res. J. Can., 39(3), 237-244.
21. Sano, Y. and Usui, H. (1985). Interrelations among mixing time, power number and discharge flow rate number in baffled mixing vessel. J. Chem. Eng. Japan, 18, 47.
22. Scardi, M. and Harding, L.W. (1999). Developing an empirical model of phytoplankton primary production: A neural network case study. Ecol. Model., 120, 213-223.
23. Schleiter, I.M., Borchardt, D., Wagner, R., Dapper, T., Schmidt, K.D., Schmidt, H.H. and Werner, H. (1999). Modeling water quality, bioindication and population dynamics in lotic ecosystems using neural networks. Ecol. Model., 120, 271-286.
24. AWWA (American Public Health Association) (1985). Standard methods for the examination of water and wastewater, 16th Edition, WCPA, Washington, DC.
25. Tan, Y. and Van Cauwenberghe, A. (1999). Neural-network-based d-step-ahead predictors for nonlinear systems with time delay. Eng. Appl. Artif. Intell., 12, 21-25.
26. WEF and ASCE Manual of practice for water pollution control (1988). Aeration a Waste Water Treatment Process, Water Environment Federation, Alexandria, VA, and ASCE, New York.
27. White, A.M. and Brenner, E. (1934). Studies in agitation. Trans. Am. Inst. Chem. Eng., 30, 585.
28. Wu, H. (1995). An issue on application of a disk turbine for gasliquid mass transfer. Chem. Eng. Sci., 50(17), 2801.
29. Zlokarnik, M. (1979). Scale-up of surface aerators for waste water treatment. Adv. Biochem. Eng., 11. 157.