Artificial neural network (ANN) modeling of adsorption of methylene blue by NaOH-modified rice husk in a fixed-bed column system.

Environmental Science and Pollution Research International
Shamik Chowdhury, Papita Das Saha

Abstract

In this study, rice husk was modified with NaOH and used as adsorbent for dynamic adsorption of methylene blue (MB) from aqueous solutions. Continuous removal of MB from aqueous solutions was studied in a laboratory scale fixed-bed column packed with NaOH-modified rice husk (NMRH). Effect of different flow rates and bed heights on the column breakthrough performance was investigated. In order to determine the most suitable model for describing the adsorption kinetics of MB in the fixed-bed column system, the bed depth service time (BDST) model as well as the Thomas model was fitted to the experimental data. An artificial neural network (ANN)-based model was also developed for describing the dynamic dye adsorption process. An extensive error analysis was carried out between experimental data and data predicted by the models by using the following error functions: correlation coefficient (R(2)), average relative error, sum of the absolute error and Chi-square statistic test (χ(2)). Results show that with increasing bed height and decreasing flow rate, the breakthrough time was delayed. All the error functions yielded minimum values for the ANN model than the traditional models (BDST and Thomas), suggesting that the ANN model is t...Continue Reading

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Citations

Nov 26, 2013·Environmental Science and Pollution Research International·Supriya PalSudipta Ghosh
Apr 29, 2014·Journal of Hazardous Materials·Vivian KurokiWagner A Carvalho
Jun 15, 2013·Environmental Science and Pollution Research International·Davor AntanasijevićMirjana Ristić
Jan 14, 2017·Ecotoxicology and Environmental Safety·S Nethaji, A Sivasamy
Aug 2, 2017·Water Science and Technology : a Journal of the International Association on Water Pollution Research·Mohammad Javad AmiriSaeid Eslamian
Mar 22, 2019·Environmental Science and Pollution Research International·Yuanyao YeYiwen Liu
Jun 16, 2014·Environmental Monitoring and Assessment·K AdhikariA Gangopadhyay

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