Groundwater Modelling : A Comparison Between Multiple Regression and Artificial Neural Network Approaches

Language: English

Published by LAP LAMBERT Academic Publishing, 2012

3659259489 / 9783659259487

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nach der Bestellung gedruckt Neuware - Printed after ordering - Groundwater is being exploited indiscriminately to meet our ever increasing demand of water in different parts of the world. In India, the Gangetic plane is amongst the most fertile land of the country. Over the past couple of decades, intensive growth in agriculture, industries, and human population have increased the water demand substantially. As a result severe problems of groundwater table declination have taken place causing threat to future availability of water. Keeping these in view, a study was undertaken in the Ramganga-Bahgul interbasin of Uttar Pradesh, India, to investigate the groundwater behaviour, analyse the causes behind water table declination, and estimate the stages of groundwater development. The collected field data were used to develop groundwater models using multiple regression and artificial neural network (ANN) approaches for the prediction of seasonal water table depths below ground level in the study area. The performance of both multiple regression and ANN models were compared and evaluated.

Seller Inventory # 9783659259487

Title
Groundwater Modelling : A Comparison Between Multiple Regression and Artificial Neural Network Approaches
Author
Rupak Sarkar
Publisher
LAP LAMBERT Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659259489
ISBN 13
9783659259487
Item weight
250 grams
Dimensions
220x150x10 mm

AHA-BUCH GmbH

Einbeck, Germany

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Shipping rates from Germany to U.S.A.

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