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Assessment of wastewater quality indicators for wastewater treatment influent using an advanced logistic regression model
Abstract
Influent quality indicators play a significant role in wastewater treatment plant performance due to their correlation with reactor operations and effluent quality. However, selecting a specific/best parameter indicator for predicting influent wastewater quality is one of the challenges in wastewa- ter treatment. This study, therefore, focused on determining suitable variables as influent quality indicators. For this purpose, a logistic regression model involving different inflow parameters from two wastewater treatment plants in Poland was used to identify the best wastewater parameter as a suitable indicator for operational monitoring, process control and simulation purpose. The results showed that the model is flexible enough to simultaneously predict two or three effective waste- water quality indicators. Furthermore, the sensitivity analysis results showed a strong nonlinear relationship between the complex values of total nitrogen, total phosphorus and suspended solids.
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Authors (7)
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Bartosz Szeląg
- Politechnika Świętokrzyska
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Monika Majewska
- Politechnika Świętokrzyska
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Grzegorz Łagód Dr inż.
- Politechnika Lubelska
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Sheena Kumari Dr
- Durban University of Technology
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Faizal Bux Prof.
- Durban University of Technology
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Desalination and Water Treatment
no. 232,
pages 421 - 432,
ISSN: 1944-3994 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Szeląg B., Mehrani M. J., Drewnowski J., Majewska M., Łagód G., Kumari S., Bux F.: Assessment of wastewater quality indicators for wastewater treatment influent using an advanced logistic regression model// Desalination and Water Treatment -Vol. 232, (2021), s.421-432
- DOI:
- Digital Object Identifier (open in new tab) 10.5004/dwt.2021.27748
- Verified by:
- Gdańsk University of Technology
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