A procedure is proposed which allows the detection of industrial discharge events at the inlet of a wastewater treatment plant without the need for measurements performed at the industry, for special equipment and for exact knowledge of the industrial sewage. By performing UV/Vis measurements at the inlet of a plant and analyzing them with a two-staged clustering method consisting of the self-organizing map algorithm and the Ward clustering method, typical sewage clusters can be found. In an experiment performed at a mid-sized Swiss plant, one cluster of a cluster model with five clusters could be attributed to an industrial laundry. Out of 95 laundry discharging events measured in a validation period, 93 were correctly detected by the proposed algorithm, two were false positives and five were false negatives.
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Research Article|
March 01 2011
Identification of industrial wastewater by clustering wastewater treatment plant influent ultraviolet visible spectra
David J. Dürrenmatt;
1Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland and Swiss Federal Institute of Aquatic Science and Technology, Eawag, 8600 Dübendorf, Switzerland
E-mail: [email protected]
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Willi Gujer
Willi Gujer
1Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland and Swiss Federal Institute of Aquatic Science and Technology, Eawag, 8600 Dübendorf, Switzerland
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Water Sci Technol (2011) 63 (6): 1153–1159.
Citation
David J. Dürrenmatt, Willi Gujer; Identification of industrial wastewater by clustering wastewater treatment plant influent ultraviolet visible spectra. Water Sci Technol 1 March 2011; 63 (6): 1153–1159. doi: https://doi.org/10.2166/wst.2011.354
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