Simulation of ground water table behavior using Artificial Intelligence Technique

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dc.contributor.advisorHarish Kumar
dc.contributor.authorHarshavneet Kaur
dc.date.accessioned2019-03-08T09:15:35Z
dc.date.available2019-03-08T09:15:35Z
dc.date.issued2019
dc.description.abstractEscalated 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.en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810097833
dc.keywordsWater table, Artificial Intelligence System, Prediction, Ground water levelen_US
dc.language.isoenen_US
dc.pages53en_US
dc.publisherPunjab Agricultural University, Ludhianaen_US
dc.research.problemSimulation of ground water table behavior using Artificial Intelligence Techniqueen_US
dc.subComputer Applicationsen_US
dc.subjectnullen_US
dc.themeSimulation of ground water table behavior using Artificial Intelligence Techniqueen_US
dc.these.typeM.Tech.en_US
dc.titleSimulation of ground water table behavior using Artificial Intelligence Techniqueen_US
dc.typeThesisen_US
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