Uncertainty of Forecast and Control of Activated Sludge Sedimentation Capacity

Bartosz Szeląg , Jan Studziński , Krzysztof Chmielowski , Ewa Dacewicz , Piotr Siwicki , Dorota Mirosław-Świątek , Justyna Lisowska

Abstract

Our paper presents an analysis of the effect of data selection uncertainty for the teaching and testing sets in the black box model (multilayer perceptron type of artificial neural networks) using the bootstrap method on the accuracy of forecast and control of activated sludge sedimentation (SE) and the sludge volume index (SVI). The calculations show that sludge sedimentation, and hence also the sludge volume index, can be predicted based on the wastewater quality indicators and biological reactor operating parameters. The presented analyses also confirmed the significant influence of the neural network model structure on the uncertainty of estimating biological reactor operating parameters (mixed liquor suspended solids, concentration of oxygen) which, in practical considerations, leads to problems of continuous control of the sludge sedimentation capacity.
Author Bartosz Szeląg - Faculty of Environmental, Geomatic and Energy Engineering, Kielce University of Technology
Bartosz Szeląg,,
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, Jan Studziński - Instytut Badań Systemowych Polskiej Akademii Nauk
Jan Studziński,,
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, Krzysztof Chmielowski (FoEEaLS / DoSEaWM)
Krzysztof Chmielowski,,
- Department of Sanitary Engineering and Water Management
, Ewa Dacewicz (FoEEaLS / DoSEaWM)
Ewa Dacewicz,,
- Department of Sanitary Engineering and Water Management
, Piotr Siwicki - Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences
Piotr Siwicki,,
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, Dorota Mirosław-Świątek - Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences
Dorota Mirosław-Świątek,,
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, Justyna Lisowska - Faculty of Environmental, Geomatic and Energy Engineering, Kielce University of Technology
Justyna Lisowska,,
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Journal seriesPolish Journal of Environmental Studies, ISSN 1230-1485, e-ISSN 2083-5906, (N/A 40 pkt)
Issue year2020
Vol29
No2
Pages1879-1887
Publication size in sheets0.5
Keywords in Englishactivated sludge sedimentation, sludge volume index, uncertainty of forecast, neural network, mathematical model
ASJC Classification2300 General Environmental Science; 2304 Environmental Chemistry
DOIDOI:10.15244/pjoes/108925
URL http://www.pjoes.com/pdf-108925-47183?filename=Uncertainty%20of%20Forecast.pdf
Languageen angielski
Score (nominal)40
Score sourcejournalList
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.631; WoS Impact Factor: 2018 = 1.186 (2) - 2018=1.3 (5)
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