Simulation of Phenol and Chlorophenol Removal Using Combined Adsorption and Biodegradation: Regression Analysis and Data-Mining Approach
Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 26, Issue 3
Abstract
It is widely known that phenols and chlorophenols (CP) are two of the most toxic chemicals and a versatile treatment is imperative to tackle this evil of industrialization. Adsorption using low-cost adsorbents is advantageous and economical; however, it has not turned out to be feasible technology. Biological treatment is much more flexible, useful, and environmentally friendly and a combination of biological treatment and adsorption has yielded much better results compared with using them individually. However, very few works apply statistical methods in elucidating the importance of various options in such a combined study. This work focused on the effect of temperature, initial concentration of chemicals, and adsorbent dosage on the removal of these chemicals. Furthermore, it compares various processes, that is, biological treatment (bio), sequential biological and adsorption (seq), and simultaneous biological and adsorption (sim) methods in treating phenols and chlorophenols. A range of linear regression models was developed to predict the percentage reduction for each of the processes used (bio, sim, and seq), and each of these models was statistically significant as evident from R-square values and the ANOVA table for regression parameters. A data-mining tree-classifier for modeling the phenol and CP removal was also developed. The data mining study indicates the initial concentration of the solvent and temperature to be the primary classifying parameters.
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Published In
Journal of Hazardous, Toxic, and Radioactive Waste
Volume 26 • Issue 3 • July 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Aug 16, 2021
Accepted: Feb 2, 2022
Published online: Apr 6, 2022
Published in print: Jul 1, 2022
Discussion open until: Sep 6, 2022
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