Reviste: » Environmental Engineering and Management Journal» European Journal of Science and Theology» Sănătate Sport și Nutriție
|
FORECASTING OF CHLOROPHENOLS REMOVING WITH ADVANCED OXIDATION PROCESSES: AN ARTIFICIAL NEURAL NETWORKS APPLICATION Autori: Aysun AltikatData aparitiei: August / 2020 Revista: Environmental Engineering and Management Journal › Vol. 19 › Nr. 8 ISSN: 1843 - 3707 N.A.
Advanced oxidation processes (AOPs) are used with high efficiency in wastewater treatment due to the formation of hydroxyl radicals with high oxidation capacity. However, there exists many different variables which affect the efficiency of theses processes as it affects the amount of hydroxyl radicals formed; such as reaction time, pH, temperature, reactant concentrations and catalyst amount. In this study, the removal of 2-chlorophenol (2-CP) and 2,4-dichlorophenol (2,4-DCP), which are highly toxic organic pollutants, with Fenton oxidation was investigated. This research has two aims. The first is modelling of substituted phenols removing with AOPs utilizing artificial neural networks (ANN), and the second is determination of the relative important among the input parameters for removing. In the research, 18 different ANN structures were used. The best ANN model for prediction of Cuvinte cheie:
2-chlorophenol
2
4-dichlorophenol
artificial neural network
Fenton oxidation
modeling
|