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Title: Integrated techniques to identify groundwater potential region in Palani Taluk, Tamil Nadu, India using electric resistivity, remote sensing and GIS techniques
Authors: R. Chandramohan, T. E. kanchanabhan, N. Siva Vignesh, Radha Krishnamorthy
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2017
Volume: 12
Issue: 22
Language: English
Groundwater is a standout amongst the most significant natural assets, which supports human health, economic development and ecological diversity. Overexploitation and unabated contamination of this indispensable asset are undermining our biological systems and even the life of who and what is to come the present review to investigate groundwater potential at different regions in Palani Taluk, Tamil Nadu, India. To decide the resistivity and thickness of the distinctive layers, Schlumberger Vertical Electrical Sounding review (VES) was done in 27 arbitrarily chose areas, where groundwater assumes a fundamental part in farming, local and modern district. The ground information was translated by IPI2WIN programming software to break down the resistivity and thickness of first and second layer fracture regions of the diverse layers. Consequences of the geophysical strategy were utilized to plan spatial distribution map by IDW tool device in GIS programming. By utilizing GIS (Geographical Information System) and RS (Remote Sensing) strategies standard methodology was proposed to recognize Groundwater potential region in Palani Taluk. The map was generated via GIS tools like IDW, overlay & etc. To obtain accurate results following parameters need to be considered such as slope, geology, drainage density, geomorphology along with lineament density map are generated by using Survey of India toposheets (SOI) of scale 1:50000 and satellite data. It is then coordinated with weighted overlay in ArcGIS and reasonable rank was alloted for every parameter. For instance, different parameters of topography units, weight components are chosen based on their ability to store groundwater. This methodology is rehashed for every single other layer and resultant layers are reclassified. Groundwater potential regions are grouped into four classifications from very poor to excellent in the review range. We have to superpose output map, groundwater potential region district distinguished by the geophysical method and groundwater potential region recognized by GIS and Remote Sensing. The resultant map gives us most favorable locations which are identified by low resistivity and more thickness (geophysical method) within areas comes under the good and excellent region of groundwater potential region (GIS & Remote sensing) in the review region. Accurate location can be identified in the study region, which helps to construct suitable recharge region structure to improve the groundwater level.
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