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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/2040
Title: Modeling of the Removal of Arsenic Species from Simulated Groundwater Containing As, Fe, and Mn: A Neural Network Based Approach
Authors: Mondal, Prasenjit
Mohanty, Bikash
Balomajumder, Chandrajit
Saraswati S.
Published in: Clean - Soil, Air, Water
Abstract: The present paper deals with the modeling of the removal of total arsenic As(T), trivalent arsenic As(III), and pentavalent arsenic As(V) from synthetic solutions containing total arsenic (0.167-2.0mg/L), Fe (0.9-2.7mg/L), and Mn (0.2-0.6mg/L) in a batch reactor using Fe impregnated granular activated charcoal (GAC-Fe). Mass ratio of As(III) and As(V) in the solution was 1:1. Multi-layer neural network (MLNN) has been used and full factorial design technique has been applied for the selection of input data set. The developed models are able to predict the adsorption of arsenic species with an error limit of -0.3 to +1.7%. Combination of MLNN with design of experiment has been able to generalize the MLNN with less number of experimental points. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Citation: Clean - Soil, Air, Water(2012), 40(3): 285-289
URI: https://doi.org/10.1002/clen.201000536
http://repository.iitr.ac.in/handle/123456789/2040
Issue Date: 2012
Keywords: Adsorption
Artificial neural network
GAC-Fe
Granular activated charcoal
Surface modification
ISSN: 18630650
Author Scopus IDs: 57200197409
57211010484
35615087500
6602926090
Author Affiliations: Mondal, P., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttrakhand, India
Mohanty, B., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttrakhand, India
Balomajumder, C., Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttrakhand, India
Saraswati, S., Department of Mechanical Engineering, Motital Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India
Corresponding Author: Mondal, P.; Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttrakhand, India; email: pmondfch@iitr.ernet.in
Appears in Collections:Journal Publications [CH]

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