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  Published Paper Details:

  Paper Title

GROUND WATER PREDICTION AND RESOURCE MANAGEMENT USING PARTICIPATORY APPROACH FOR OSMANABAD DISTRICT

  Authors

  Mr Tayyabali Sayyad,  Ms.Mikayla Noronha,  Ms. Swetna Tribhuvan,  Mr. Dylan Da Costa

  Keywords

Machine learning, algorithm, database, Linear Regression, Spatial Data, Open Source, Android App, Web design.

  Abstract


Drought has been consistently affecting many parts of India. Maharashtra is one of the states amongst it. Specifically, the Marathwada region has been witnessing severe droughts from the last ten years and is getting worse year after year. To tackle this situation, we need efficient water resource allocation, planning and management. Overcoming the water-related issues would be easy if we have a good understanding of the existing groundwater availability. We present a participatory approach to report water availability and depth levels of wells and borewells. Having a record of this data will not only allow us to monitor but also have a better understanding, planning and control over groundwater extraction and its use. We propose an open source- based spatial data infrastructure, which will then be used to calculate the demand and supply of the water. We will also be doing a simulation of various effects of the policies on water availability. Time series analysis will help us to do the future prediction of water availability.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106552

  Paper ID - 208936

  Page Number(s) - e768-e772

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mr Tayyabali Sayyad,  Ms.Mikayla Noronha,  Ms. Swetna Tribhuvan,  Mr. Dylan Da Costa,   "GROUND WATER PREDICTION AND RESOURCE MANAGEMENT USING PARTICIPATORY APPROACH FOR OSMANABAD DISTRICT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.e768-e772, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106552.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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