Intelligent sewage discharge control in a wastewater treatment plant during rainfall periods

Uncontrolled wastewater discharges have social and environmental consequences and generate increased operational costs. Wastewater treatment plants (WWTPs) are vulnerable infrastructure and require the implementation of risk and safety analyses in the context of climate change and flooding. Therefor...

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Bibliographic Details
Published in:Urban water journal 2023-03, Vol.20 (3), p.380-393
Main Authors: Stańczyk, Justyna, Burszta-Adamiak, Ewa, Kajewska-Szkudlarek, Joanna, Kurkiewicz, Ryszard, Przerwa, Andrzej
Format: Article
Language:English
Subjects:
Automation
Climate change
Context
Decision making
Decision tree
Decision trees
Discharge
Infrastructure
Operating costs
overflow
predictors selection
Rainfall
rainwater
Regression analysis
Regression models
Risk analysis
Sewage
smart city
Wastewater discharges
Wastewater management
Wastewater treatment
Wastewater treatment plants
Weather
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Summary:Uncontrolled wastewater discharges have social and environmental consequences and generate increased operational costs. Wastewater treatment plants (WWTPs) are vulnerable infrastructure and require the implementation of risk and safety analyses in the context of climate change and flooding. Therefore, making decisions in changing weather conditions is one of the most important but also most difficult tasks for operators to maintain proper management of wastewater infrastructure facilities. The aim of the research was to develop a decision-making tool based on soft sensor methods to allow inflows to be classified into two classes of WTTP operating conditions. The quality of the regression models was maintained at 90.0%, while the classifier based on the coarse decision tree had a testing accuracy of 92.4%. The results can contribute to a reduction in wastewater load, which is significant in the context of ongoing climate change, and to an improvement in WWTP operation through automation.
ISSN:1573-062X
1744-9006
DOI:10.1080/1573062X.2023.2169170