NDLI: Groundwater Level Prediction using M5 Model Trees

Content Provider	Springer Nature Link
Author	Mohandas, C. Nalarajan, Nitha Ayinippully
Copyright Year	2015
Abstract	Groundwater is an important resource, readily available and having high economic value and social benefit. Recently, it had been considered a dependable source of uncontaminated water. During the past two decades, increased rate of extraction and other greedy human actions have resulted in the groundwater crisis, both qualitatively and quantitatively. Under prevailing circumstances, the availability of predicted groundwater levels increase the importance of this valuable resource, as an aid in the planning of groundwater resources. For this purpose, data-driven prediction models are widely used in the present day world. M5 model tree (MT) is a popular soft computing method emerging as a promising method for numeric prediction, producing understandable models. The present study discusses the groundwater level predictions using MT employing only the historical groundwater levels from a groundwater monitoring well. The results showed that MT can be successively used for forecasting groundwater levels.
Starting Page	57
Ending Page	62
Page Count	6
File Format	PDF
ISSN	22502149
Journal	Journal of The Institution of Engineers (India): Series A
Volume Number	96
Issue Number	1
e-ISSN	22502157
Language	English
Publisher	Springer India
Publisher Date	2015-01-08
Publisher Place	India
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Numeric prediction Data driven models Civil Engineering Groundwater monitoring well M5 model trees
Content Type	Text
Resource Type	Article
Subject	Building and Construction Architecture Mechanical Engineering Agricultural and Biological Sciences Civil and Structural Engineering

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