Please use this identifier to cite or link to this item:
Title: Prediction of mine water quality by physical parameters
Authors: Khandelwal, Manoj
Singh, T N
Keywords: Mine water
Acid mine drainage
Artificial neural network
Physical parameters
Chemical parameters
Issue Date: Aug-2005
Publisher: CSIR
Series/Report no.: G 01 N 33/18
Abstract: 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.
Description: 564-570
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.64(08) [August 2005]

Files in This Item:
File Description SizeFormat 
JSIR 64(8) 564-570.pdf1.83 MBAdobe PDFView/Open

Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.