Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/6237
Title: Forecasting of groundwater level in hard rock region using artificial neural network
Authors: Banerjee, Pallavi
Prasad R.K.
Singh V.S.
Published in: Environmental Geology
Abstract: In hardrock terrain where seasonal streams are not perennial source of freshwater, increase in ground water exploitation has already resulted here in declining ground water levels and deteriorating its' quality. The aquifer system has shown signs of depletion and quality contamination. Thus, to secure water for the future, water resource estimation and management has urgently become the need of the hour. In order to manage groundwater resources, it is vital to have a tool to predict the aquifer response for a given stress (abstraction and recharge). Artificial neural network (ANN) has surfaced as a proven and potential methodology to forecast the groundwater levels. In this paper, Feed-Forward Network based ANN model is used as a method to predict the groundwater levels. The models are trained with the inputs collected from field and then used as prediction tool for various scenarios of stress on aquifer. Such predictions help in developing better strategies for sustainable development of groundwater resources. © Springer-Verlag 2008.
Citation: Environmental Geology (2009), 58(6): 1239-1246
URI: https://doi.org/10.1007/s00254-008-1619-z
http://repository.iitr.ac.in/handle/123456789/6237
Issue Date: 2009
Keywords: Artificial neural network
Forecasting
Groundwater level
Hard rock aquifer
ISSN: 9430105
Author Scopus IDs: 24480592700
57199315221
35510471700
Author Affiliations: Banerjee, P., National Geophysical Research Institute, Hyderabad, Andhra Pradesh 500007, India
Prasad, R.K., National Geophysical Research Institute, Hyderabad, Andhra Pradesh 500007, India
Singh, V.S., National Geophysical Research Institute, Hyderabad, Andhra Pradesh 500007, India
Funding Details: Acknowledgments The field study has been financed by INCID, Ministry of Water Resources, Government of India. The authors are grateful to Dr. V. P. Dimri, Director, National Geophysical Research Institute, Hyderabad, India for his kind permission to publish this paper.
Corresponding Author: Banerjee, P.; National Geophysical Research Institute, Hyderabad, Andhra Pradesh 500007, India; email: vns_pal@yahoo.co.in
Appears in Collections:Journal Publications [ES]

Files in This Item:
There are no files associated with this item.
Show full item record


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