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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(6): 2138-2145
DOI: https://doi.org/10.20546/ijcmas.2020.906.261


Delineation of Ground Water Potential Zone using Remote Sensing, GIS and GPS, in Mauranipur Block, Jhansi District (UP), India
Shivam Pandey1, Sashikant Tripathi1 and Arjun Singh2*
1(Department of Physical Science), MGCGV Chitrakoot, Satna, M.P., India
2Groundwater Resources Division, RSAC Lucknow U.P., India
*Corresponding author
Abstract:

Groundwater is an important resource contributing significantly in total annual supply. However, over exploitation has depleted groundwater availability considerably and also led to land subsidence at some places. Assessing the potential zone of groundwater recharge is extremely important for the protection of water quality and the management of groundwater systems. Groundwater potential zones are demarked with the help of remote sensing and Geographic Information System (GIS) techniques. In this study a standard methodology is proposed to determine groundwater potential using integration of RS & GIS technique. The composite map is generated using GIS tools. The accurate information to obtain the parameters that can be considered for identifying the groundwater potential zone such as geology, slope, drainage density, geomorphic units and lineament density are generated using the satellite data and survey of India (SOI) toposheets of scale 1:50000. It is then integrated with weighted overlay in ArcGIS. Suitable ranks are assigned for each category of these parameters. For the various geomorphic units, weight factors are decided based on their capability to store groundwater. This procedure is repeated for all the other layers and resultant layers are reclassified. The groundwater potential zones are classified into five categories like very poor, poor, moderate, good & excellent. The use of suggested methodology is demonstrated for a selected study area in Mauranipur Block Jhansi district of UP. This groundwater potential information will be useful for effective identification of suitable locations for extraction of water.


Keywords: Groundwater, potential zone, ArcGIS, satellite data
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How to cite this article:

Shivam Pandey, Sashikant Tripathi and Arjun Singh. 2020. Delineation of Ground Water Potential Zone using Remote Sensing, GIS and GPS, in Mauranipur Block, Jhansi District (UP), India.Int.J.Curr.Microbiol.App.Sci. 9(6): 2138-2145. doi: https://doi.org/10.20546/ijcmas.2020.906.261