Application of Ferric Chloride for Removal of Glyphosate: Modeling of Axial and Radial Flow Impellers Using Artificial Neural Networks

Abstract

AbstractThis paper studied the removal of the herbicide Glyphosate in aqueous solution using ions capable of forming an insoluble complex Glyphosate salt (ferric chloride). A maximum Glyphosate removal of 67.4% was achieved using 300 mg/L of ferric chloride. The precipitation of the insoluble Glyphosate salt was affected by rapid mixing velocity, rapid mixing time, dosage of flocculant, and types of impellers. An artificial neural networks (ANN) model was used to predict the removal of Glyphosate. The results showed good agreement over the range of experimental and predicted data. Increasing the velocity gradient increased the Glyphosate removal. The Glyphosate removal decreased with further increase in shear stress. At higher flocculant dosage, the effect of impeller shear is less as the flocs are stronger. The results showed that the effect of impeller type was highly dependent on the rapid mixing velocity and rapid mixing time.