Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/28643
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dc.contributor.authorKarunanidhi, D.-
dc.contributor.authorVennila, G.-
dc.contributor.authorSuresh, M.-
dc.contributor.authorRangarajan, R.-
dc.date.accessioned2014-04-23T10:01:17Z-
dc.date.available2014-04-23T10:01:17Z-
dc.date.issued2014-04-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/28643-
dc.description542-553en_US
dc.description.abstractIn the present investigation 50 (Vertical electrical sounding) survey were carried out in the study area. Field data were interpreted by curve matching techniques in IPI2WIN software to determine the resistivity and thickness of the different layers. By using conventional GIS method, the spatial distribution maps for weathered zone and fracture zones resistivity and thicknesses were prepared. Integration of the said themes was carried out in GIS. Integration analysis was carried out with weathered zone thickness and a resistivity map. This map was superposed over geology map. To locate the shallow groundwater zones. Overlay analysis was used in the thickness of first and second layer fracture zone with the corresponding resistivity maps. This map was superposed over geology map. The suitable zones for groundwater were delineated from first layers combinations of low resistivity with more thickness in areas occupied by Dunite, hornblende-biotite-gneisses and charnockite. Depth for the construction of tube-wells and dug-wells were suggested in the present investigation. Spatial distribution variation results are given in the findings.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.43(4) [April 2014]en_US
dc.subjectGeographic Information System (GIS)en_US
dc.subjectVertical Electrical Sounding (VES)en_US
dc.subjectDug wellen_US
dc.subjectTube wellen_US
dc.titleGroundwater investigation and possible zones identification through schlumberger resistivity data using GIS tools in Omalur Taluk, Salem District, Tamil Nadu, Indiaen_US
dc.typeArticleen_US
Appears in Collections: IJMS Vol.43(04) [April 2014]

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