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Remote Sensing and GIS Based Groundwater Potential Zone Mapping in Ariyalur District, Tamil Nadu

  • Research Articles
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Journal of the Geological Society of India

Abstract

The groundwater is the most precious resources around the world and is shrinking day by day. In connection, there is a need for demarcation of potential ground-water zone. The geographical information system (GIS) and remote sensing techniques have become important tools to locate ground-water potential zones. This research has been carried out to identify groundwater potential zone in Ariyalur of south India with help of GIS and remote sensing techniques. To identify the groundwater potential zone used by different thematic layers of geology, geomorphology, drainage, drainage density, lineaments, lineaments density, soil, rainfall, and slope with inverse distance weightage (IDW) methods. From the overall result the potential zone of groundwater in the study area classified into five classes named as very good (13.34 %), good (51.52 %), moderate (31.48 %), poor (2.82 %) and very poor (0.82 %). This study suggested that, very good potential zone of groundwater occur in patches in northern and central parts of Jayamkondam and Palur regions in Ariyalur district. The result exhibited that inverse distance weightage method offers an effective tool for interpreting groundwater potential zones for suitable development and management of groundwater resources in different hydro-geological environments.

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References

  • Al Saud, M. (2010) Mapping potential areas for groundwater storage in Wadi Aurnah Basin, western Arabian Peninsula, using remote sensing and geographic information system techniques. Hydrogeol. Jour., v.18(1), pp.1481–95.

    Article  Google Scholar 

  • Bagyaraj, M., Ramkumar, T., Venkatramanan, S., Gurugnanam, B. (2013) Application of remote sensing and GIS analysis for identifying groundwater potential zone in parts of Kodaikanal Taluk, South India. Front. Earth Sci., v.7(1), pp.65–75.

    Article  Google Scholar 

  • Brunner, P., Bauer, P., Eugster, M., Kinzelbach, W. (2004) Using remote sensing to regionalize local rainfall recharge rates obtained from the chloride method. Jour. Hydrol., v.294(4), pp.241–250.

    Article  Google Scholar 

  • Chowdhury, A., Jha, M.K., Chowdary, V.M,, Mal, B.C. (2009) Integrated remote sensing and GIS-based approach for assessing groundwater potential in west medinipur district, west Bengal, India. Internat. Jour. Remote Sens., v.30(1), pp.231–250.

    Article  Google Scholar 

  • Chowdhury, A., Jha, M.K., Chowdary, V.M. (2010) Delineation of groundwater recharge zones and identification of artificial recharge sites in West Medinipur district, West Bengal, using RS, GIS and MCDM techniques. Environ. Earth Science, v.59(1), pp.1209–1222.

    Article  Google Scholar 

  • Dhinagaran. (2009) District Groundwater brochure, Central Ground Water Board, Chennai.

    Google Scholar 

  • Ganapuram, S., Vijaya Kumar, G.T., Murali Krishna, I.V., Kahya, E., Cuneyd Demirel, M. (2009) Mapping of groundwater potential zones in the Musi basin using remote sensing data and GIS. Adv. Engg. Software, v.40(1), pp.506–518.

    Article  Google Scholar 

  • Goodchild, M.F. (1993) The state of GIS for environmental problem solving. In: Goodchild MF, Parks BO, Steyaert LT (eds) Environmental modeling with GIS. Oxford University Press, New York, pp.8–15.

    Google Scholar 

  • Gupta, R.P. (2003) Remote Sensing Geology. 2nd ed. Springer, Berlin, Germany, pp.460–477.

    Book  Google Scholar 

  • Haridas, V.R., Aravindan, S., Girish, G. (1998) Remote sensing and its applications for groundwater favourable area identification. Quart. Jour. GARC, v.6, pp.18–22.

    Google Scholar 

  • Harinarayana, P., Gopalakrishna, G.S, Balasubramanian, A. (2000) Remote sensing data for groundwater development and management in Keralapura watersheds of Cauvery basin, Karnataka, India. Indian Mineralogists, v.34, pp.11–17.

    Google Scholar 

  • Hinton, J.C. (1996) GIS and Remote Sensing Integration for Environmental Applications. Geographical Information Systems, v.10(7), pp.877–890.

    Article  Google Scholar 

  • Horton, R.E. (1945) Erosional development of streams and their drainage density: hydrophysical approach to quantitative geomorphology. Geol. Soc. Amer. Bull., v.56, pp.275–370.

    Article  Google Scholar 

  • Hsin-Fu Yeh, Youg-Sin Cheng, Hung-I Lin, Cheng-Haw Le. (2016) Mapping groundwater recharge potential zone using a GIS approach in Hualian River, Taiwan. Sustainable Environment Research, v.26, pp.33–43

    Article  Google Scholar 

  • Hyun Joo Oh., Yong Sung Kim., Jong Kuk Choi., Eungyu Park., Saro Lee. (2011) GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. Journal of Hydrology, v.399(1), pp.158–172.

    Google Scholar 

  • Imran A Dar., Sankar K., Mithas A Dar. (2010) Remote sensing technology and geographic information system modeling: An integrated approach towards the mapping of groundwater potential zones in Hardrock terrain, Mamundiyar basin. Jour. Hydrol., v.394(1), pp.285–295.

    Article  Google Scholar 

  • Jha, M.K., Chowdhury, A., Chowdary, V.M., Peiffer, S. (2007) Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints. Water Resour. Managmt., v.21(2), pp.427–467.

    Article  Google Scholar 

  • Kane, W.F., Peters, D.C., Speirer, R.A. (1996) Remote sensing in investigation of engineered underground structures. Jour.. Geotech. Engg., v.122, pp.674–681.

    Article  Google Scholar 

  • Koike, K., Nagano, S., Ohmi, M. (1998) Lineament Analysis of Satellite Images Using A Segment Tracing Algorithm (STA). Computers and Geosciences, v.21(9), pp.1091–1104.

    Article  Google Scholar 

  • Leblanc, M., Leduc, C., Razack, M., Lemoalle, J., Dagorne, D., Mofor, L. (2003) Application of remote sensing and GIS for groundwater modeling of large semiarid areas: example of the Lake Chad Basin, Africa. In: Hydrology of Mediterranean and Semiarid Regions Conference, Montpieller, France. Red Books Series, 278. IAHS, Wallingford, pp.186–192.

    Google Scholar 

  • Magesh, N.S., Chandrasekar, N., John Prince Soundranayagam. (2012) Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geoscience Frontiers, v.3(2), pp.189–196.

    Article  Google Scholar 

  • Mogaji, KA., Lim, H.S., Abdullah, K. (2015) Regional prediction of groundwater potential mapping in a multifaceted geology terrain using GIS-based Dempster—Shafer model, Arab. Jour. Geosci., v.8, pp.3235–3258. DOI https://doi.org/10.1007/s12517-014-1391-1.

    Google Scholar 

  • Mohammad Imran Malik, Sultan Bhat, M., Shahnaz Ahmad Najar (2016) Remote Sensing and GIS Based Groundwater Potential Mapping for Sustainable Water Resource Management of Lidder Catchment in Kashmir Valley, India. Jour. Geol. Soc. India, v.87, pp.716–726.

    Article  Google Scholar 

  • Muralitharan, J., Palanivel, K. (2015) Groundwater targeting using remote sensing, geographical information system and analytical hierarchy process method in hard rock aquifer system, Karur district, Tamil Nadu, India. Earth Sci. Inform., v.8, pp.827–842.

    Article  Google Scholar 

  • Murthy, K.S.R (2000) Groundwater potential in a semi-arid region of Andhra Pradeshda geographical information system approach. Internat. Jour. Remote Sensing, v.21, pp.1867–1884.

    Article  Google Scholar 

  • Nagarajan, M., Sujit Singh (2009) Assessment of Groundwater Potential Zones using GIS Technique. Jour. Indian Soc. Remote Sens., v.37, pp.69–77.

    Article  Google Scholar 

  • Pankaj Kumar, Srikantha Herath, Ram Avtar, Kazuhiko Takeuchi (2016) Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques. Sustain. Water Resour. Managmt. v.2, pp.419–430, DOI https://doi.org/10.1007/s40899-016-0072-5.

    Article  Google Scholar 

  • Prasad, R.K., Mondal, N.C., Banerjee, P., Nandakumar, M.V., Singh, V.S. (2008) Deciphering potential groundwater zone in hard rock through the application of GIS. Environ. Geol., v.55(3), pp.467–475.

    Article  Google Scholar 

  • Prasanta Kumar Ghosh., Sujay Bandyopadhyay., Narayan Chandra Jana. (2016) Mapping of groundwater potential zones in hard rock terrain using geoinformatics: a case of Kumari watershed in western part of West Bengal, Model. Earth Syst. Environ., v.2, DOI https://doi.org/10.1007/s40808-015-0044-z.

  • Rahmati, O., Nazari Samani, A., Mahdavi, M., Pourghasemi, H.R., Zeinivand, H. (2014) Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS. Arab J Geosci, doi: https://doi.org/10.1007/s12517-014-1668-4.

    Google Scholar 

  • Rao, B.V., Briz-Kishore, B.H. (1991) A methodology for locating potential aquifers in a typical semi-arid region in India using resistivity and hydrogeologic parameters. Geoexploration, v.27, pp.55–64.

    Article  Google Scholar 

  • Saha, D., Dhar, Y.R., Vittal, S.S. (2010) Delineation of groundwater development potential zones in parts of marginal Ganga alluvial plain in south Bihar, eastern India. Environ. Monitor., v.165(1–4), pp.179–191.

    Article  Google Scholar 

  • Selvam, S., Dar Farooq, A., Magesh, N.S., Singaraja, C., Venkatramanan, S., Chung, S.Y. (2016) Application of remote sensing and GIS for delineating groundwater recharge potential zones of Kovilpatti Municipality, Tamil Nadu using IF technique, Earth Sci. Inform., v.9, pp.137–150.

    Article  Google Scholar 

  • Senanayake, I.P., Dissanayake, D.M.D.O.K., Mayadunna, B.B., Weerasekera, W.L. (2016) An approach to delineate groundwater recharge potential sites in Ambalantota, Sri Lanka using GIS techniques, Geoscience Frontiers,v.7, pp.115–124.

    Article  Google Scholar 

  • Shaban, A., Khawlie, M., Abdallah, C. (2006) Use of remote sensing and GIS to determine recharge potential zone: the case of Occidental Lebanon. Hydrogeol. Jour., v.14, pp.433–443.

    Article  Google Scholar 

  • Singh, A.K., Prakash, S.R. (2003) An integrated approach of remote sensing, geophysics and GIS to evaluation of groundwater potentiality of Ojhala subwatershed, Mirzapur district, UP, India. Map India conference.

    Google Scholar 

  • Solomon, S., Quiel, F. (2006) Groundwater study using remote sensing and geographic information systems (GIS) in the central highlands of Eritrea. Hydrogeol. Jour., v.14, pp.1029–1041.

    Article  Google Scholar 

  • Swetha, T.V., Girish Gopinath., Thrivikramji, K.P., Jesiya, N.P. (2017) Geospatial and MCDM tool mix for identification of potential groundwater prospects in a tropical river basin, Kerala. Environ. Earth Sci., v.76(428), DOI https://doi.org/10.1007/s12665-017-6749-8.

    Google Scholar 

  • Thomas, A., Sharma, P.K., Sharma, M.K., Sood Anil. (1999) Hydrogeomorphological mapping in assessing groundwater by using remote sensing datada case study in Lehra Gage Block, Sangrur district, Punjab. Jour. Indian Soc. Remote Sensing, v.27, pp.31–42.

    Article  Google Scholar 

  • Tiwari, A., Rai, B. (1996) Hydromorphological mapping for groundwater prospecting using landsate MSS images case study of Part of Dhanbad District, Bihar. Jour. Indian Soc. Remote Sensing, v.24, pp.281–285.

    Article  Google Scholar 

  • Tweed, S.O., Leblanc, M., Webb, J.A., Lubczynski, M.W. (2007) Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, south eastern Australia. Hydrogeol. Jour., v.15, pp.75–96.

    Article  Google Scholar 

  • Vasanthavigar, M., Srinivasamoorthy, K., Vijayaragavan, K., Gopinath, S., Sarma, S. (2011) Groundwater potential zoning in Thirumani- muttar subbasin Tamilnadu, India - a GIS and remote sensing approach, geo-spatial. Inf. Sci, v.14(1), pp.17–26.

    Google Scholar 

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Authors and Affiliations

  1. School of Earth Science and Engineering, SunYat- Sen University, Guangzhou, 510275, China

    G. Gnanachandrasamy, Yongzhang Zhou & Shugong Wang

  2. Guangdong Provincial Key Laboratory of Geological Processes and Mineral Resource Survey, Sun Yat-Sen University, Guangzhou, 510275, China

    G. Gnanachandrasamy, Yongzhang Zhou & Shugong Wang

  3. Center for Earth, Environment & Resources, Sun Yat-Sen University, Guangzhou, 510275, China

    G. Gnanachandrasamy, Yongzhang Zhou & Shugong Wang

  4. Department of Applied Geology, Debre Berhan University, Debre Berhan, Ethiopia

    M. Bagyaraj

  5. Department of Geology, Alagappa University, Karaikudi, Tamil Nadu, India

    S. Venkatramanan

  6. Department of Earth Sciences, Annamalai University, Annamalainagar, 608 002, India

    T. Ramkumar

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  1. G. Gnanachandrasamy
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  2. Yongzhang Zhou
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  3. M. Bagyaraj
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  4. S. Venkatramanan
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  5. T. Ramkumar
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Correspondence to G. Gnanachandrasamy.

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Gnanachandrasamy, G., Zhou, Y., Bagyaraj, M. et al. Remote Sensing and GIS Based Groundwater Potential Zone Mapping in Ariyalur District, Tamil Nadu. J Geol Soc India 92, 484–490 (2018). https://doi.org/10.1007/s12594-018-1046-z

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  • DOI: https://doi.org/10.1007/s12594-018-1046-z

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