A GIS-based approach to assess groundwater quality in Kurnool district


Water is essential for the survival of mankind on the surface of the Earth. The surface water bodies which act as a source of drinking water are prone to pollution in the current days. As a result people rely on groundwater sources for drinking, irrigation etc., It has become a necessity to evaluate the quality of groundwater as it is being polluted to a large extent because of rapid urbanization and industrialization. The present study aims to assess the quality of groundwater in Kurnool district. The samples are collected at various well locations and are studied for physico-chemical parameters H+ ion concentration, bi-carbonate, carbonates, sulphates, and chloride concentration. Thematic maps for each physico-chemical parameter are prepared by Inverse distance weightage interpolation method in Geographical Information system. The groundwater quality is assessed using a water quality index, which expresses overall quality at a location. Based on the results potential zones are identified by query builder in ArcGIS. Thus it can be concluded that the potential zones act as sources of drinking water.

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  1. Abbasi SA (1998) Water quality sampling and analysis. Discovery Publishing House, New Delhi, p 51

    Google Scholar 

  2. APHA (American Public Health Association) Standard Methods for the Examination of Water and Waste Water, 22 Edition. Public Health Association, Washington

  3. Arnous MO, El-Rayes AE (2013) An integrated GIS and hydrochemical approach to assess groundwater contamination in West Ismailia area, Egypt. Arab J Geosci 6(8):2829–2842

    Article  Google Scholar 

  4. Arsalan MH (2004) A GIS appraisal of heavy metals concentration in soil. GIS @ Development. American Society of Civil Engineers, New York, pp 10017–12398

    Google Scholar 

  5. Baalousha HM (2010) Mapping groundwater contamination risk using GIS and groundwater modelling. A case study from the Gaza Strip. Palestine Arab J Geosci. https://doi.org/10.1007/s12517-010-0135-0

    Article  Google Scholar 

  6. Ballukraya PN, Ravi R (1999) Charaterization of ground water in the unconfined aquifer of Chennai city. Z Geol Soc India 54:1–11

    Google Scholar 

  7. Chatterjee C, Raziuddin M (2002) Determination of water quality index (WQI) of a degraded river in Asansol Industrial area, P.O. Raniganj, District Burdwan. West Bengal. Nat Environ Pollut Technol 1(2):181–189

    Google Scholar 

  8. Das Gupta M, Purohit KM, JayitaDatta. (2001) Assessment of drinking water quality of river Brahmani. J Environ Pollut 8:285–291

    Google Scholar 

  9. Haimes YY (1984) Risk assessment for the prevention of groundwater contamination. In: Groundwater contamination, National Research Council (U.S.). Geophysics Study Committee, Geophysics Research Forum (U.S.). Geophysics Study Committee, National Academy Press, Washington, DC, pp 166–177

  10. Joseph K (2001) An integrated approach for management of total dissolved solids in reactive dyeing effluents. In: Proceedings of international conference on industrial pollution and control technologies, Hyderabad

  11. Krois J, Schulte A (2014) GIS-based multi-criteria evaluation to identify potential sites for soil and water conservation techniques in the Ronquillo watershed, northern Peru. Appl Geogr 51:131–142

    Article  Google Scholar 

  12. Logeshkumaran A, Magesh NS, Godson PS, Chandrasekar N (2015) Hydro-geochemistry and application of water quality index (WQI) for groundwater quality assessment, Anna Nagar, part of Chennai City, Tamil Nadu, India. Appl Water Sci 5(4):335–343

    Article  Google Scholar 

  13. Mahmoud SH, Alazba AA (2016) Integrated remote sensing and GIS-based approach for deciphering groundwater potential zones in the central region of Saudi Arabia. Environ Earth Sci 75(4):344

    Article  Google Scholar 

  14. Murthy KSR (2000) Groundwater potential in a semi-arid region of Andhra Pradesh—a geographical information system approach. Int J Remote Sens 21:1867–1884

    Article  Google Scholar 

  15. Nadeau S, Rosa E, Cloutier V, Daigneault RA, Veillette J (2015) A GIS-based approach for supporting groundwater protection in eskers: Application to sand and gravel extraction activities in Abitibi-Témiscamingue, Quebec, Canada. J Hydrol Region Stud 4:535–549

    Article  Google Scholar 

  16. Selvam S, Manimaran G, Sivasubramanian P, Balasubramanian N, Seshunarayana TJEES (2014) GIS-based evaluation of water quality index of groundwater resources around Tuticorin coastal city, South India. Environ Earth Sci 71(6):2847–2867

    Article  Google Scholar 

  17. Sharma AK, Shukla JP (2015) A remote sensing and GIS based approach to evaluate the ground water prospects of Baghain watershed, Panna and Satna districts of MP, India: a case study. J Geol Soc India 86(6):733–741

    Article  Google Scholar 

  18. Srivastava PK, Bhattacharya AK (2006) Groundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: a case study from a hard rock terrain. Int J Remote Sens 27(20):4599–4620

    Article  Google Scholar 

  19. Srivastava AK, Sinha DK (1994) Water Quality Index for river Sai at Rae Bareli for the pre-monsoon period and after the onset of monsoon. Indian J Environ Protect 14:340–345

    Google Scholar 

  20. Tweed SO, Leblanc M, Webb JA, Lubczynski MW (2007) Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, southeastern Australia. Hydrogeol J 15:75–96

    Article  Google Scholar 

  21. Yogendra K, Puttaih ET (2007) Determination of water quality index and suitability of an urban water body in Shimoga Town, Karnataka. In: Proceedings of Taal, pp 342–346

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Tharani, K., Teja Abhilash, P. A GIS-based approach to assess groundwater quality in Kurnool district. Sustain. Water Resour. Manag. 7, 17 (2021). https://doi.org/10.1007/s40899-021-00500-4

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  • Inverse distance weightage
  • Physico-chemical parameters
  • Water quality index
  • Query builder