Record Details

Prediction of mine water quality by physical parameters

DSpace at IIT Bombay

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Field Value
 
Title Prediction of mine water quality by physical parameters
 
Creator KHANDELWAL, M
SINGH, TN
 
Subject mine water
acid mine drainage
artificial neural network
physical parameters
chemical parameters
 
Description Present paper is an attempt to predict the chemical parameters like sulphate, chlorine, chemical oxygen demand, total dissolved solids and total suspended solids in mine water using artificial neural network (ANN) by incorporating the pH, temperature and hardness. The prediction by ANN is also compared with Multivariate Regression Analysis (MVRA). For prediction of chemical parameters of mine water, 30 data set were taken for the training of the network while testing and validation of network was done by 10 data set with 923 epochs. The predicted results of chemical parameters of mine water by ANN are very satisfactory and acceptable as compared to MVRA, and seem to be a good alternative for pollutants prediction.
 
Publisher NATL INST SCIENCE COMMUNICATION
 
Date 2011-08-19T06:07:09Z
2011-12-26T12:56:05Z
2011-12-27T05:44:15Z
2011-08-19T06:07:09Z
2011-12-26T12:56:05Z
2011-12-27T05:44:15Z
2005
 
Type Article
 
Identifier JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 64(8), 564-570
0022-4456
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10251
http://hdl.handle.net/10054/10251
 
Language en