Simulation of ground water table behavior using Artificial Intelligence Technique
Loading...
Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Punjab Agricultural University, Ludhiana
Abstract
Escalated need of water resources has created an issue of declination of water table depth in
most of the parts of the state of Punjab (India) during past two decades. Thus there is an acute
need to identify the status of water table depth for effective management of water resources.
In this research, data from 12 blocks of the Ludhiana district are collected from namely
Sidhwan Bet, Jagraon, Sudhar, Raikot, Pakhowal, Ludhiana I, Ludhiana II, Dehlon, Doraha,
Machhiwara, Samrala and Khanna. The data is collected for the period 2011-2015 and for the
parameters namely rainfall, population, industrial water release, cropping pattern and canal
water release. The data is collected from various agencies. The data is analysed by applying
various algorithms and the effect of each is determined on the ground water table. Using a
suitable algorithm, an interface is created for the prediction of ground water table for the
various blocks of Ludhiana district. The developed system will be beneficial for predicting
the effective use of water resources in Ludhiana district.
Description
Keywords
null