ORIGINAL RESEARCH
Assessment of the Effect of Wastewater Quantity and Quality, and Sludge Parameters on Predictive Abilities of Non-Linear Models for Activated Sludge Settleability Predictions
Bartosz Szeląg, Jarosław Gawdzik
 
More details
Hide details
 
Faculty of Environmental, Geomatic and Energy Engineering, Kielce University of Technology,
Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
 
 
Submission date: 2016-06-18
 
 
Acceptance date: 2016-08-23
 
 
Online publication date: 2017-01-31
 
 
Publication date: 2017-01-31
 
 
Pol. J. Environ. Stud. 2017;26(1):315-322
 
KEYWORDS
TOPICS
ABSTRACT
This paper discusses the possibility of applying the three “black-box” methods to sludge settleability predictions. Additionally, the impact of the load of biogenic compounds and parameters of activated sludge on predictive abilities of the devised mathematical models is analysed in the paper. To conduct analyses we relied on the results of measurements of wastewater quantity and quality, and of the bioreactor operational parameters, taken on continuous basis at the Sitkówka-Nowiny treatment plant in 2012-16. The analyses conducted for the study indicate that the lowest values of errors in activated sludge settleability predictions for the wastewater treatment plant of concern were obtained for input data on the load of biogenic compounds at the inflow, microorganism culture environment, and activated sludge concentration.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
CITATIONS (5):
1.
Activated sludge process modelling using selected machine learning techniques
Bartosz Szeląg, Krzysztof Barbusiński, Jan Studziński
Desalination and Water Treatment
 
2.
Estimating the chemical oxygen demand of petrochemical wastewater treatment plants using linear and nonlinear statistical models – A case study
Milad Abouzari, Parham Pahlavani, Fatemeh Izaditame, Behnaz Bigdeli
Chemosphere
 
3.
Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017
Bartosz Szeląg, Jan Studziński
 
4.
Explicit and interpretable nonlinear soft sensor models for influent surveillance at a full-scale wastewater treatment plant
Xiaodong Wang, Knut Kvaal, Harsha Ratnaweera
Journal of Process Control
 
5.
Toxic Effect of Ammonium Nitrogen on the Nitrification Process and Acclimatisation of Nitrifying Bacteria to High Concentrations of NH4-N in Wastewater
Iwona Beata Paśmionka, Karol Bulski, Piotr Herbut, Elżbieta Boligłowa, Frederico Márcio C. Vieira, Gabriela Bonassa, Marcelo Bortoli, Marina Celant de Prá
Energies
 
eISSN:2083-5906
ISSN:1230-1485
Journals System - logo
Scroll to top