Assessment of wastewater quality indicators for wastewater treatment influent using an advanced logistic regression model
Artykuł w czasopiśmie
MNiSW
100
Lista 2021
| Status: | |
| Autorzy: | Szeląg Bartosz, Mehrani Mohamad-Javad, Drewnowski Jakub, Majewska Monika, Łagód Grzegorz, Kumarid Sheena, Bux Faizal |
| Dyscypliny: | |
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| Rok wydania: | 2021 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Wolumen/Tom: | 232 |
| Strony: | 421 - 432 |
| Impact Factor: | 1,273 |
| Web of Science® Times Cited: | 8 |
| Scopus® Cytowania: | 10 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| 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. |
