Applying kohonen self-organizing map as a software sensor to predict biochemical oxygen demand

Water Environment Research

Volumn 80, Issue 1, 2008, Pages 32-40

  Rustum, Rabee ^a   Adeloye, Adebayo J ^a   Scholz, Miklas ^b  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Bioassay; Biochemical oxygen demand; Biosensor; Cost saving; Decisionmaking; Kohonen self organizing map; Neural networks; Process control; Software sensor; Wastewater treatment plant

Indexed keywords

BIOASSAY; BIOCHEMICAL OXYGEN DEMAND; BIOSENSORS; CONFORMAL MAPPING; DECISION MAKING; NEURAL NETWORKS; OXYGEN; PROCESS CONTROL; RECLAMATION; SELF ORGANIZING MAPS; SEWAGE PUMPING PLANTS; WASTEWATER TREATMENT; WATER POLLUTION; WATER TREATMENT; WATER TREATMENT PLANTS;

CONTROL PURPOSE; COST SAVING; KOHONEN SELF-ORGANIZING MAPS; ORGANIC POLLUTION; REAL TIME DECISION-MAKING; SOFTWARE SENSOR; WASTEWATER TREATMENT PLANTS; WATER AND WASTEWATER TREATMENTS;

WATER POLLUTION CONTROL;

BIOASSAY; BIOCHEMICAL OXYGEN DEMAND; MAPPING METHOD; ORGANIC POLLUTANT; POLLUTION CONTROL; POLLUTION MONITORING; SENSOR; SOFTWARE; WASTEWATER; WATER POLLUTION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOCHEMICAL OXYGEN DEMAND; COMPUTER PROGRAM; DECISION SUPPORT SYSTEM; ORGANIC POLLUTION; PRIORITY JOURNAL; SENSOR; WASTE WATER; WASTE WATER MANAGEMENT; WATER POLLUTION; WATER POLLUTION CONTROL; WATER SAMPLING; BIOREMEDIATION; CHEMISTRY; GENETIC PROCEDURES; METHODOLOGY; SEWAGE; UNITED KINGDOM;

OXYGEN;

BIODEGRADATION, ENVIRONMENTAL; BIOSENSING TECHNIQUES; NEURAL NETWORKS (COMPUTER); OXYGEN; SCOTLAND; SOFTWARE; WASTE DISPOSAL, FLUID;

EID: 39749167837     PISSN: 10614303     EISSN: 15547531     Source Type: Journal    
DOI: 10.2175/106143007X184500     Document Type: Article

References (25)

1. American Public Health Association; American Water Works Association; Water Environment Federation (1998) Standard Methods for the Examination of Water and Wastewater, 20th ed.; American Public Health Association: Washington, D.C.
2. 5 in Settled Sewage. Water Sci. Technol., 44 (2-3), 9-16.
3. Ellis, G. W.; Ge, X.; Grasso, D. (1990) Time Series Analysis of Wastewater Quality, Proceedings of the 5th International Association on Water Pollution Research and Control Workshop on Instrumentation, Control, and Automation of Water and Wastewater Treatment and Transport Systems, July 26-Aug. 3, Tokyo, Japan; International Association on Water Pollution Research and Control: Oxford, United Kingdom, 595-600.
4. European Economic Community (1991) Directive Concerning Urban Wastewater Treatment, 91/271/EEC. European Economic Community Official Journal L135/40, http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:31991L0271:EN:HTML (accessed December 1, 2006).
5. Garcia, H.; Gonzalez, L. (2004) Self-Organizing Map and Clustering for Wastewater Treatment Monitoring. Eng. Appl. Artific. Intellig., 17 (3), 215-225.
6. Hiraoka, M.; Tsumura, K.; Fujita, I.; Kanaya, T. (1990) System Identification and Control of Activated Sludge Process by Use of Autoregressive Model, Instrumentation, Control and Automation of Water and Wastewater Treatment and Transport Systems. Advanced Water Pollution Control, Report No. 10, Briggs, R. (Ed.); IAWPRC: London, 121-128.
7. Hong, Y.; Rosen, M.; Bhamidimarri, R. (2003) Analysis of a Municipal Wastewater Treatment Plant Using a Neural Network-Based Pattern Analysis. Water Res., 37 (7), 1608-1618.
8. Karube, I.; Matsunaga, T.; Mitsuda, S.; Suzuki, S. (1977) Biochemical Electrode BOD Sensors. Biotechnol. Bioeng., 19 (10), 1535-1547.
9. Kim, M. N.; Kwon, H. S. (1999) Biochemical Oxygen Demand Sensor Using Serratia marcescens LSY 4. Biosen. Bioelectr., 14 (1), 1-7.
10. Kohonen, T.; Oja, E.; Simula, O.; Visa, A.; Kangas, J. (1996) Engineering Applications of the Self Organizing Map. Proceedings IEEE, 84 (10), 1358-1384.
11. Lee, B.-H.; Scholz, M. (2006a) A Comparative Study: Prediction of Constructed Treatment Wetland Performance with K-Nearest Neighbors and Neural Networks. Water Air Soil Pollut., 174 (1-4), 279-301.
12. Lee, B.-H.; Scholz, M. (2006b) Application of the Self-Organizing Map (SOM) to Assess the Heavy Metal Removal Performance in Experimental Constructed Wetlands. Water Res., 40 (18), 3367-3374.
13. Lee, H.; Stenstrom, M. K. (2005) Utility of Stormwater Monitoring. Water Environ. Res., 77 (3), 219-228.
14. Mohanty, S.; Scholz, M.; Slater, M. J. (2002) Neural Network Simulation of the Chemical Oxygen Demand Reduction in a Biological Activated Carbon Filter. J. Ch. Inst. Water Environ. Manage., 16 (1), 58-64.
15. Obu-Cann, K.; Morita, Y.; Fujimura, K.; Tokutaka, H.; Ohkita, M.; Inui, M. (2001) Data Mining of Power Transformer Database Using Self-Organizing Maps. Proceedings of the 6th International Conference on Soft Computing, IZUKA 2000, Oct. 1-4, Iizuka, Fukuoka, Japan; IEEE: New York, 201-206; http://ieeexplore.ieee.org/iel5/7719/21162/00983717.pdf (accessed December 1, 2006).
16. Ohki, A.; Shinohara, K.; Ito, O.; Naka, K.; Maeda, S.; Sato, T.; Akano, H.; Kato, N.; Kawamura, Y. (1994) A BOD Sensor Using Klebsiella oxytoca AS1. Environ. Anal. Chem., 56, 261-269.
17. Penn, B. S. (2005) Using Self-Organizing Maps to Visualize High Dimensional Data. Comp. Geosci., 31 (5), 531-544.
18. Praet, E.; Reuter, V.; Gaillard, T.; Vasel, J. L. (1995) Bioreactors and Biomembrane for Biochemical Oxygen Demand Estimation. Tr. Anal. Chem., 14 (7), 371-378.
19. Riedel, K.; Renneberg, R.; Kuhn, M.; Scheller, F. (1988) A Fast Estimation of Biochemical Oxygen Demand Using Microbial Sensors. Appl. Microbiol. Biotechnol., 28, 316-318.
20. Roche, P.; Al-Jowder, R.; Narayanaswamy, R.; Young, J.; Scully, P. (2006) A Novel Luminescent Lifetime-Based Optrode for the Detection of Gaseous and Dissolved Oxygen Utilising a Mixed Ormosil Matrix Containing Ruthenium (4,7-diphenyl-1,10-phenanthroline)(3)Cl-2 (Ru.dpp). Analyt. Bioanalyt. Chem., 386, 1245-1257.
21. Sakai, Y.; Abe, N.; Takeuchi, S.; Fermen, J. (1995) BOD Sensor Using Magnetic Activated Sludge. J. Ferment. Bioeng., 80 (3), 300-303.
22. Scholz, M. (2006) Wetland Systems to Control Urban Runoff; Elsevier: Amsterdam, Netherlands.
23. Shen, J.; Shen, W.; Chang, J.; Gong, N. (2006) Fuzzy Neural Network for Flow Estimation in Sewer Systems During Wet Weather. Water Environ. Res., 78 (2), 100-109.
24. Tan, T. C.; Li, F.; Neoh, K. G.; Lee, Y. K. (1992) Microbial Membrane-Modified Dissolved Oxygen Probe for Rapid Biochemical Oxygen Demand Measurement. Sens. Actuators B, 8, 167-172.
25. Vesanto, J.; Himberge, J.; Alhoniemi, E.; Parhankangas, J. (2000) Self-Organizing Map (SOM) Toolbox for Matlab 5, Report No. A57; Helsinki University of Technology, Laboratory of Computer and Information Science: Helsinki, Finland.