Skip to main content

Advertisement

SpringerLink
Log in

Delineation of Groundwater Recharge Potential Zones in Namakkal District, Tamilnadu, India Using Remote Sensing and GIS

  • Research Article
  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

Exploitation of groundwater and frequent failure of monsoons has produced rapid water table depletion in present days. Rainwater is discharged as surface runoff without replenishing the groundwater table. Identification of potential zones for groundwater recharge has become an important event to replenish the groundwater resources. The recharge potential is governed by various features of surface, subsurface and hydrometeorological parameters. Remote sensing technique is found to be very effective tool for the integration of various features of these factors. In this work, an attempt has been made to identify groundwater recharge potential zones in Namakkal district of Tamilnadu state, India. Weighted index overlay analysis (WIOA) was carried out in this study using the software ArcGIS by intergrating the thematic layers of soil, geology, geomorphology, lineament, land use/land cover, rainfall, groundwater level and slope. The groundwater potentials were delineated as Very Good, Good, Moderate to Good, Moderate and Poor zones. Good category of groundwater recharge potential zones constitutes 62.21 % in the study area. GIS based output results were validated with the water level data of Public Works Department (PWD).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Ashwani S. K., A., Amit Sinha, & Rajesh Upadhyay (2006). Monitoring land use/land cover of Maharajganj district of Uttarpradesh using digital remote sensing technique. Indian Cartographer, 188–190.

  • Choudhary, P.R. (1999). Integrated remote sensing and GIS techniques for groundwater studies in part of Betwa basin, Ph.D thesis (unpublished), Department of Earth Sciences, University of Roorkee, India.

  • Elango, K., Mohan, S. (1997). Technical report on effectiveness of percolation ponds. Indian Institute of Technology, Madras, submitted to Department of Science and Technology, New Delhi.

  • Girish Kumar, M., Agarwal, A. K., & Bali, R. (2008). Delineation of potential sites for water harvesting structures using remote sensing and GIS. Journal of the Indian Society of Remote Sensing, 36(4), 323–334.

    Article  Google Scholar 

  • Gontia, N. K., & Patil, P. Y. (2012). Assessment of groundwater recharge through rainfall and water harvesting structures in Jamka microwatershed using remote sensing and GIS. Journal of the Indian Society of Remote Sensing, 40(4), 639–648.

    Article  Google Scholar 

  • Krishnamurthy, J. N., Venkatesa, K., Jayaraman, V., & Manivel, M. (1996). An approach to demarcate ground water potential zones through remote sensing and geographical information system. International Journal of Remote Sensing, 17, 1867–1884.

    Article  Google Scholar 

  • Manikandan, J., Kiruthika, A. M., & Sureshbabu, S. (2014). Evaluation of groundwater potential zones in Krishnagiri District, Tamil Nadu using MIF Technique. International Journal of Innovative Research in Science, Engineering and Technology, 3(3), 10524–10534.

    Google Scholar 

  • Mondal, Md. Surabuddin., Pandey, A. C., & Garg, R. D. (2008). Groundwater prospects evaluation based on hydrogeomorphological mapping using high resolution satellite images: a case study in Uttarakhand. Journal of the Indian Society of Remote Sensing, 36(1), 69–76.

  • Murthy, K. S. R. (2000). Groundwater potential in a semi arid region of Andhra Pradesh. A geographical information system approach. International Journal of Remote Sensing, 21(9), 1867–1884.

    Article  Google Scholar 

  • Nagarajan, M., & Sujit, S. (2009). Assessment of groundwater potential zones using GIS Technique. Journal of the Indian Society of Remote Sensing, 37(1), 66–77.

    Article  Google Scholar 

  • Nagendra, H., Munroe, D. K., & Southworth, J. (2004). From pattern to process: landscape fragmentation and the analysis of land use/land cover. Agriculture Ecosystems and Environment, 101, 349–358.

    Article  Google Scholar 

  • Obi, R., Chandra, G. P., Mouli, K., Srivastav, S. K., Srinivas, C. V., & Maji, A. K. (2000). Evaluation of groundwater potential zones using remote sensing data—a case study of Gaimukh watershed, Bhandara district, Maharashtra. Journal of the Indian Society of Remote Sensing, 28(1), 19–32.

    Article  Google Scholar 

  • Pratap, K., Ravindran, K. V., & Prabakaran, B. (2000). Groundwater prospect zoning using remote sensing and geographical information system: a case study in Dala–Renukoot Area, Sonbhadra District Uttar Pradesh. Journal of the Indian Society of Remote Sensing, 28(4), 249–263.

    Article  Google Scholar 

  • Preeja, K. R., Sabu, J., & Jebin, T. (2011). Identification of groundwater potential zones of a trophical river basin (Kerala, India) using remote sensing and GIS techniques. Journal of the Indian Society of Remote Sensing, 39(1), 83–94.

    Article  Google Scholar 

  • PWD. (2001). A profile of Namakkal district. Chennai: State Ground and Surface Water Resources Data Centre, Water Resources Organization, PWD, Govt. of TamilNadu. India.

  • PWD. (2007). Rainfall and Groundwater level Data, State Ground and Surface Water Resources Data Centre, Water Resources Organization, PWD, Govt. of TamilNadu, Chennai. India.

  • Raghunath, H. M. (2009). Ground water. New Delhi: New Age International (P) Limited, Publishers.

    Google Scholar 

  • Rokade, V. M., Kundal, P., & Joshi, A. K. (2007). Groundwater potential modeling through remote sensing and GIS: a case study from RajuraTaluka, Chandrapur district, Maharashtra. Journal of the Geological Society, 69, 943–948.

    Google Scholar 

  • Saraf, A., & Choudhary, P. R. (1998). Integrated remote sensing and GIS for ground water exploration and identification of artificial recharge site. International Journal of Remote Sensing, 19, 1825–1841.

    Article  Google Scholar 

  • Saraf, A. K., Jasrotia, A. S., & Kumar, R. (2007). Delineation of groundwater recharge sites using integrated remote sensing and GIS in Jammu district, India. International Journal of Remote Sensing, 28(22), 5019–5036.

    Article  Google Scholar 

  • Saxena, A., & Agarwal, R. (2008). Change detection of land use and land cover patterns: a case study of Mandideep and Obedullahgunj area in Madhya Pradesh. ITPI Journal, 5(4), 65–72.

    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. Hydrogeology Journal, 14(4), 433–443.

    Article  Google Scholar 

  • Sukumar, S., & Sankar, K. (2010). Delineation of potential zones for artificial recharge using GIS in Theni district, Tamilnadu, India. International Journal of Geomatics and Geosciences, 1(3), 639–648.

    Google Scholar 

  • Suribabu, C. R., Bhaskar, J., & Neelakantan, T. R. (2012). Land use/ cover change detection of Tiruchirapalli City, India, using integrated remote sensing and GIS tools. Journal of the Indian Society of Remote Sensing, 40(4), 699–708.

    Article  Google Scholar 

  • Thakur, G. S., & Raghuwanshi, R. S. (2008). Perspect and assessment of groundwater resources using remote sensing techniques in and around Choral river basin, Indore and Khargone districts, M.P. Journal of the Indian Society of Remote Sensing, 36(2), 217–225.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Civil Engineering, Dhirajlal Gandhi College of Technology, Salem, 636 309, Tamilnadu, India

    S. Samson

  2. Department of Civil Engineering, PSG College of Technology, Coimbatore, 641 004, Tamilnadu, India

    K. Elangovan

Authors
  1. S. Samson
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. Elangovan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. Samson.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Samson, S., Elangovan, K. Delineation of Groundwater Recharge Potential Zones in Namakkal District, Tamilnadu, India Using Remote Sensing and GIS. J Indian Soc Remote Sens 43, 769–778 (2015). https://doi.org/10.1007/s12524-014-0442-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12524-014-0442-0

Keywords

Search

Navigation