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Assessment of groundwater potential zones using remote sensing and GIS techniques in Gomukhi River basin of Tamilnadu, India

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Author Affiliations

  • 1Centre for Remote Sensing Bharathidasan UniversityTiruchirappalli-620023, India
  • 2Centre for Remote Sensing Bharathidasan UniversityTiruchirappalli-620023, India
  • 3Centre for Remote Sensing Bharathidasan UniversityTiruchirappalli-620023, India

Int. Res. J. Earth Sci., Volume 5, Issue (11), Pages 1-12, December,25 (2017)

Abstract

The Gomukhi river basin of Tamilnadu is the region mainly depends on rain-fed agricultural system and partial areas under canal irrigation system, major cultivation crops are paddy and sugarcane. The western side of Kalrayan hills areas are mostly dry condition, drinking and agriculture activities are high depend on rainfall. Targeting groundwater potential areas in Gomukhi river basin is very much essential and it is necessary to improve the groundwater recharge artificially. The Groundwater potential zones were identified using various thematic layers such as geology, geomorphology, land use and land cover, slop of the ground, lineament, lineament density, drainage pattern and drainage density, texture of soil, and water level, all the thematic layers were assigned suitable for weights based on the Saaty’s according their relative significance for the groundwater potential, and their features were normalized by using Analytic Hierarchy Process (AHP) and finally all thematic layers were integrated with Arc GIS 10.1 software, using map algorithm of weighted overlay techniques and delineate the groundwater potential zones map. The final zonation map was classified into three class and shows around 41.38 % of the basin areas falls under good, 29.65% areas are moderate and 28.98% areas are low groundwater potential zones. The village boundary map was super imposed over the zonation map to extract the village wise groundwater potential in the Gomukhi river basin and 8.55 % land area covered by the reserved forest. The groundwater potential zones map was finally validated with field check.

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