6th International Virtual Congress (IVC-2019) And Workshop.  International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

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

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)


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.


  1. Krishnamurthy J. and Srinivas G. (1999)., Role of geological and geomorphological factors in groundwater exploration; A study using IRS LISS data., International Journal of Remote Sensing, 16(14), 2595-2618. doi:10.1080/01431169508954579.
  2. Sankar K. (2002)., Evaluation of groundwater potential zones using Remote sensing data in upper Vaigai river basin, Tamilnadu, India., Journal of Indian Society of Remote Sensing, 30(3), 119-129. doi:10.1007/bf02990644.
  3. Subba Rao N. (1992)., Factors affecting optimum development of groundwater’s in crystalline terrain of the Eastern Ghats, Visakhapatnam Area, and Andhra Pradesh, India., Jour. Geology. Soc. India, 40(5), 462-467.
  4. Todd D.K. and Mays L.W. (2004)., Groundwater Hydrology., 3rd Edn, Wiley & Sons, Incorporated, John.
  5. Jaiswal R.K., Mukherjee S., Krishnamurthy J. and Saxena R. (2003)., Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development-an approach., International Journal of Remote Sensing, 24(5), 993-1008.
  6. Saraf A.K. and Choudhury P.R. (1998)., Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge site., International Journal of Remote Sensing, 19(10), 1825-1841.
  7. Srinivasa Rao Y. and Jugran D.K. (2003)., Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purpose using remote sensing and GIS., Journal of Hydrological Science, 48(5), 821-833.
  8. Machiwal D., Jha M.K. and Mal B.C. (2011)., Assessment of groundwater potential in a Semi-arid region of India using remote sensing GIS and MCDM techniques., Water Resource Management, 25(5), 1359-1386.
  9. Singh C.K., Shashtri S., Singh A. and Mukherjee S. (2011)., Quantitative Modelling of groundwater in satluj river basin of Rupnagar district of Punjab using Remote Sensing and Geographical Information System., Environmental Earth Sciences, 62(4), 871-881.
  10. Mukherjee P., Singh C.K. and Mukherjee S. (2012)., Delineation of groundwater potential zones in arid region of India-A remote sensing and GIS approach., Water Resource Management, 26(9), 2643-2672.
  11. Adjat K.A.N., Nawawi M.N.M. and Abdullah K. (2012)., Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction too-A case of predicting potential zones of sustainable groundwater resources., Journal of Hydrology, 440, 75-89.
  12. Saaty T.L. (1980)., The Analytic Hierarchy process., McGraw-Hill, New York, NY.
  13. Saaty T.L. (1996)., Decision making with dependence and feedback; The analytic Network process., RWS Publications, Pittsburgh.
  14. Saaty T.L. (2004)., Fundamentals of the analytic network process-Multiple network with benefits costs, opportunities and risks., Journal of Systems Science and Systems Engineering, 13(3), 348-379.
  15. Shahid S., Nath S.K. and Roj J. (2000)., Groundwater potential modelling in soft rock area using a GIS., International Journal of Remotes Sensing, 21(9), 1919-1924. doi;10.1080/014311600209823.
  16. Kumar T., Gautam A.K. and Kumar T. (2014)., Appraising the accuracy of GIS-based Multi-criteria decision making technique for delineation of Groundwater potential zones., Water resources management, 28(13), 4449-4466. doi;10.1007/s11269-014-0663-6
  17. Brown L.J., Dravid P.N., Hudson N.A. and Tayor C.B. (1999)., Sustainable groundwater resources, Heretaunga plains, Hawke bay, New Zealand., Journal of Hydrogeology, 7(5), 440-453.
  18. Agarwal E., Agarwal R., Garg R.D. and Garg P.K. (2013)., Delineation of groundwater potential zone, An AHP/ANP approach., Journal of Earth System Science, 122(3), 887-898.
  19. Vijith H. (2007)., Groundwater potential in the hard rock terrain of western Ghats; A case study from Kottayam district, Kerala using Resource Sat (IRS-P6) data and GIS techniques., Journal in Indian Society of Remote sensing, 35(2), 163-171.
  20. Chowdhury A., Jha M.K., Chowdary V.M. and Mal B.C. (2009)., Integrated remote sensing and GIS-based approach for assessing groundwater potential in West Medinipur district, West Bengal, India., International Journal of Remote sensing, 30(1), 231-250. doi; 1080/0143116080 2270131.
  21. Prasa R.K., Mondal N.C., Banerjee P., Nandakumar M.V. and Sing V.S. (2008)., Deciphering potential groundwater zone in hard rock through the application of GIS., Environmental Geology, 55(3), 467-475.doi:10.1007/500254-007-0992-3.
  22. Preeja K.R., Joesph S., Thomas J. and Vijith H. (2011)., Identification of groundwater potential zones of tropical river basin (Kerala, India) using remote sensing and GIS Techniques., Journal in Indian Society of Remote Sensing, 39(1), 83-94.
  23. Strahler A.N. (1957)., Quantitative analysis of watershed geomorphology., Transaction American Geophysical Union, 38(6), 913-920.
  24. Kumar M.G., Agarwal A.K. and Bali R. (2008)., Delineation of potential sites for water harvesting structures using remote sensing and GIS., Journal of Indian Society of Remote Sensing, 36, 323-334.
  25. Mehna R., Mahjoor A.L. and Shakeel A. (2012)., Integrating geospatial and ground geophysical information as guidelines for groundwater potential zones in hard rock terrains of South India., Journal of Environ Monit Assess, 184, 4829-4839. doi:10.1007/s10661-011-2305-2.
  26. Thornbury W.D. (2004)., Principle of Geomorphology., CBS publishers & Distributors Pvt. Ltd, New Delhi, 1- 959. ISBN:10:8123908113.
  27. Ramesh Y. (1990)., Geomorphic Studies in Upper Gostani River Basin with Special References to Borra (Karst) Caves Visakapatnam District, A.P., India., Ph.D. Thesis (UN published), Andhra University, India.
  28. Ghose R. (1993)., Remote sensing for analysis of groundwater availability in an area with long unplanned mining history., Jour Indian Soc Remote Sensing, 21(3), 119-126.
  29. Ahmed K., Shahid S., bin Harun S., Ismail T., Nawaz N. and Shamsudin S. (2015)., Assessment of groundwater potential zones in an arid region based on catastrophe theory., Earth Science Informatics, 8(3), 539-549. doi;10.1007/s12145-014-0173-3
  30. Agarwal C.S. and Garg P.K. (2002)., Textbook on Remote sensing In Natural Resources Monitoring and Management., Wheeler Publishing, 213.
  31. NRSA (1995)., Integrated Mission for Sustainable Development-Technical Guidelines, National Remote Sensing Agency., Dept. Of Space, Hyderabad.