Assessment of wastewater quality indicators for wastewater treatment influent using an advanced logistic regression model
Bartosz Szeląg, Mohamad-Javad Mehrani, Jakub Drewnowski, Monika Majewska, Grzegorz Łagód, Sheena Kumari, Faizal Bux
Abstract
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 wastewater 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.