Journal Article
Using AI and BES/MFC to decrease the prediction time of BOD5 measurement
Ivan Medvedev; Mariya Kornaukhova; Christoforos Galazis; Bálint Lóránt; Gábor Márk Tardy; Alexander Losev; Igor Goryanin
Environmental Monitoring and Assessment · Vol. 195, Issue 9 · 2023
Abstract
Biochemical oxygen demand (BOD) is one of the most important water/wastewater quality parameters. BOD 5 is the amount of oxygen consumed in 5 days by microorganisms that oxidize biodegradable organic materials in an aerobic biochemical manner. The primary objective of this research is to apply microbial fuel cells (MFCs) to reduce the time requirement of BOD 5 measurements. An artificial neural network (ANN) has been created, and the predictions we obtained for BOD 5 measurements were carried out within 6–24 h with an average error of 7%. The outcomes demonstrated the viability of our AI MFC/BES BOD 5 sensor in real-life scenarios.
Bibliographic Information
| Journal | Environmental Monitoring and Assessment |
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| Publisher | Springer |
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| Publication Date | 2023-09-01 |
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| Publication Year | 2023 |
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| Volume | 195 |
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| Issue | 9 |
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| Document Type | Journal Article |
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| eISSN | 1573-2959 |
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| DOI | 10.1007/s10661-023-11576-0 |
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