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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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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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