Heterogeneous Fenton process using iron-containing waste (ICW) for methyl orange degradation: process performance and modeling

Autor:	Tarek A. Gad-Allah, Emad S. Elmolla, Mohamed E.M. Ali, Mohamed I. Badawy
Rok vydání:	2013
Předmět:	Correlation coefficient Analytical chemistry Environmental engineering Ocean Engineering Pollution Catalysis chemistry.chemical_compound chemistry Scientific method Methyl orange Degradation (geology) Hidden layer Degradation process Water Science and Technology Sigmoid transfer function
Zdroj:	Desalination and Water Treatment. 52:4538-4546
ISSN:	1944-3986 1944-3994
DOI:	10.1080/19443994.2013.803320
Popis:	The feasibility of using iron-containing waste (ICW) as new low-cost heterogeneous Fenton catalyst for methyl orange (MO) degradation has been studied. Process modeling and simulation has been conducted using artificial neural network (ANN). Complete degradation of MO was achieved at 0.2 g/L ICW concentration, 24 mM H2O2 dose, and pH 2 in 30 min. A three-layered back-propagation neural network with tangent sigmoid transfer function (tansig) at hidden layer and linear transfer function (purelin) at output layer was used for modeling the process performance. ANN-predicted results are very close to the experimental results with a correlation coefficient (R2) of 0.961 and a mean squared error of 0.039. The sensitivity analysis showed that all studied variables (reaction time, ICW concentration, H2O2 dose, pH, and MO concentration) have strong effect on MO degradation. Among all studied variables, pH appeared to be the most influential input variable followed by ICW concentration.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::815b8db569bf7162b7580b11e8874364 https://doi.org/10.1080/19443994.2013.803320 Zobrazit plný text záznamu