Artificial neural network (ANN) approach for modeling of selected biogenic compounds in a mixture of treated municipal and dairy wastewater

¹ Bialystok University of Technology, Department of Civil and Enviromental Engineering Technology and Systems, 15-351 Bialystok, Poland
² Niğde Ömer Halisdemir University, Department of Environmental Engineering, 51240 Merkez / Niğde, Turkey

^* Corresponding author: p.ofman@pb.edu.pl

Abstract

This paper presents artificial neural network (ANN) model of wastewater treatment plant, which was used for average monthly concentrations of N-NH4⁺, N-NO3^-, N-NO2^-, total Kiejdahl nitrogen (TKN), PO4^3- and SO4^2- approximation. ANN model was developed for wastewater treatment plant located in Bystre, Poland which treats municipal wastewater with a share of dairy wastewater. The object was chosen because of the unique location, in the Great Mazury Lakes area and the need for its special environmental protection. Input layer of developed ANN model consisted of BOD, COD, concentrations of total nitrogen and total phosphorus, total organic carbon, sulphates, wastewater temperature and pH., The developed model reflected extreme values observed during study period. Average error percentage with which output variables were approximated equalled to 35.35%; 8.99%; 21.23%; 5.08%; 10.99%; 3.02% respectively for N-NH4⁺, N-NO3^-, N-NO2^-, TKN, PO4^3- and SO4^2-.