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Modelling and Forecasting the Sludge Bulking in Biological Reactors of Wastewater Treatment Plants by Means of Data Mining Methods

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Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017 (ISPEM 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 637))

Abstract

The bulking of active sludge in treatment plant bioreactors occurs very often in communal wastewater works what leads to worsening the abilities of sludge sedimentation and the efficiency of works operation. Because of that there is useful and suitable to model and predict the sludge bulking events in order to take some counteractions. In the paper the data mining methods of Support Vector Machines (SVM), Boosted Trees, Random Forests and Multivariate Adaptive Regression Splines (MARS) have been used for modelling and forecasting the sludge bulking events. By the calculation the measurement data series from 4 years concerning the physical and chemical parameters of wastewater flowing into the treatment plant investigated and the technological parameters of the plant bioreactor were used. The calculation results show that the best sludge bulking model containing the best prediction ability has been received by the MARS method and on another side the worst models have been generated by the Random Forests method.

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Authors and Affiliations

  1. Geomatic and Energy Engineering, Faculty of Environmental, Kielce University of Technology, Al. Tysiąclecia Państwa Polskiego 7, 25–314, Kielce, Poland

    Bartosz Szeląg

  2. Systems Research Institute (IBS PAN), Polish Academy of Sciences, Newelska 6, 01-447, Warsaw, Poland

    Jan Studziński

Authors
  1. Bartosz Szeląg
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  2. Jan Studziński
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Correspondence to Bartosz Szeląg .

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Editors and Affiliations

  1. Faculty of Mechanical Engineering, Centre for Advanced Manufacturing Technologies, Fraunhofer Project Center, Wrocław University of Technology, Wrocław, Poland

    Anna Burduk

  2. Lublin University of Technology, Lublin, Poland

    Dariusz Mazurkiewicz

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Szeląg, B., Studziński, J. (2018). Modelling and Forecasting the Sludge Bulking in Biological Reactors of Wastewater Treatment Plants by Means of Data Mining Methods. In: Burduk, A., Mazurkiewicz, D. (eds) Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017. ISPEM 2017. Advances in Intelligent Systems and Computing, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-319-64465-3_29

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  • DOI: https://doi.org/10.1007/978-3-319-64465-3_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64464-6

  • Online ISBN: 978-3-319-64465-3

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