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Applying Kohonen Self-Organizing Map as a Software Sensor to Predict Biochemical Oxygen Demand

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Abstract:

The 5 days at 20°C biochemical oxygen demand (BOD 5) is an important parameter for monitoring organic pollution in water and assessing the biotreatability of wastewater. Moreover, BOD 5 is used for wastewater treatment plant discharge consents and other water pollution control purposes. However, the traditional bioassay method for estimating the BOD 5 involves the incubation of sample water for 5 days. It follows that BOD 5 is not available for real-time decisionmaking and process control purposes. On the other hand, previous efforts to solve this problem by developing more rapid biosensors had limited success. This paper reports on the development of Kohonen self-organizing map (KSOM)-based software sensors for the rapid prediction of BOD 5. The findings indicate that the KSOM-based BOD 5 estimates were in good agreement with those measured using the conventional bioassay method. This offers significant potential for more timely intervention and cost savings during problem diagnosis in water and wastewater treatment processes.

Keywords: Kohonen self-organizing map; bioassay; biochemical oxygen demand; biosensor; cost saving; decisionmaking; neural networks; process control; software sensor; wastewater treatment plant

Document Type: Research Article

DOI: https://doi.org/10.2175/106143007X184500

Publication date: 2008-01-01

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  • Water Environment Research® (WER®) publishes peer-reviewed research papers, research notes, state-of-the-art and critical reviews on original, fundamental and applied research in all scientific and technical areas related to water quality, pollution control, and management. An annual Literature Review provides a review of published books and articles on water quality topics from the previous year.

    Published as: Sewage Works Journal, 1928 - 1949; Sewage and Industrial Wastes, 1950 - 1959; Journal Water Pollution Control Federation, 1959 - Oct 1989; Research Journal Water Pollution Control Federation, Nov 1989 - 1991; Water Environment Research, 1992 - present.
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