Abstract
Groundwater which occurs beneath the earth’s surface is an important natural resource. The study area, part of Yadadri Bhuvanagiri district, Telangana, which is a part of Musi river basin, is a hard rock terrain covering an area of 1107 sq km, part of the eastern Dharwar craton (EDC) of the southern India peninsular shield. Exploration of groundwater in this terrain is difficult because groundwater is confined to weathered and fractured layers. The present study aims to delineate groundwater potential zones using the multi-criteria decision analysis (MCDA) technique. An integrated application of remote sensing and GIS is very effective in mapping features that provide information about groundwater potential zones using several thematic layers such as geology, soil, geomorphology, slope, lineament density, drainage density, rainfall, and land use/land cover maps. The groundwater potential zones of the study area are classified into five categories, namely very high, high, medium, low, and very low and they occupied an area of 116.8, 381.29, 345.15, 149.70, and 115.42 km2 respectively. The results were validated using discharge data from existing wells in the study area, and the majority of the high-productivity wells are located in very high and high groundwater potential zones. The groundwater potential zone mapping using this model will be a very useful improving the groundwater resources of the study area.
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Abdalla, F. (2012) Mapping of groundwater prospective zones using remote sensing and GIS techniques: a case study from the Central Eastern Desert, Egypt. Jour. African Earth Sci., v. 70, pp.8–17.
Al-Abadi, A.M. (2015) Groundwater potential mapping at northeasternWasit and Missan governorates, Iraq using a data-driven weights of evidence technique in framework of GIS. Environ. Earth Sci., v.74(2), pp.1109–1124.
Balachandar, D., Alaguraja, P., Sundaraj, P., Rutharvelmurthy, K., Kumaraswamy, K. (2010) Application of Remote Sensing and GIS for Artificial Recharge Zone in Sivaganga district, Tamilnadu, India. Internat. Jour. Geomat. Geosci., v. 1(1), pp.84–96.
Bhunia G.S., Samanta S., Pal, D.K., Pal B. (2012) Assessment of groundwater potential zone in Paschim Medinipur District, West Bengal—a mesoscale study using GIS and remote sensing approach. Jour. Environ. Earth Sci., v.2(5), pp.41–59.
Boobalan C., Gurugnanam B., Suresh M. (2015) An Integrated Remote Sensing and GIS approach for the identification of Groundwater prospective zones in Sarabanga sub-basin, Cauvery river basin, Tamil Nadu, India. Internat. Jour. Recent Scient. Res., v.6(10), pp.7128–7134.
Chavez, P.S., Jr. Berlin, G.L., Sowers, L.B. (1982) Statistical Method for Selecting Landsat MSS Ratios. Jour. Appl. Photograp. Engg., v.8(1), pp.23–30.
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 Sci., v.59(6), pp.1209–1222.
Ferozur Rahaman Md., Chowdhury S. Jahan, Riad Arefin, Quamrul H. Mazumder (2019) Groundwater potentiality study in drought-prone barind tract, NW Bangladesh using remote sensing and GIS. Groundwater for Suitable Development, v.8, pp.205–215.
Goetz, A.F.H., Billingsley F.C., Elston, D.P., Lucchitta, I., Shoemaker, E.M., Abrams M.J., Gillespie, A.R., and Squires, R.L. (1975) Application of ERTS Images and Image Processing to Regional Geologic Problems and Geologic Mapping in Northern Arizona, Jet Propulsion Laboratory Technical Report #32–1597, 188p.
Gumma, M.K., Pavelic, P. (2013) Mapping of groundwater potential zones across Ghana using remote sensing, geographic information systems, and spatial modeling. Environ. Monit. Assess., v.185(4), pp.3561–3579.
Guru, B., Seshan, K., Bera, S. (2017) Frequency ratio model for groundwater potential mapping and its sustainable management in cold desert, India. Jour. King Saud Univ.-Sci., v.29(3), pp.333–347.
Ibrahim-Batti, K., Ahmed, S.A. (2016) Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga district, India. Egyptian Jour. Remote Sens. Space Sci., v. 19(2), pp.223–234.
Jaiswal, R.K., Mukherjee, S., Krishnamurthy, J., Saxena, R. (2003) Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development-an approach. Internat. Jour. Remote Sens., v.24, pp.993–1008.
Jasrotia, A.S., Kumar, A., Singh, R. (2016) Integrated remote sensing and GIS approach for delineation of groundwater potential zones using aquifer parameters in Devak and Rui watershed of Jammu and Kashmir, India. Arab. Jour. Geosci., v.9(4), pp.304.
Jha, M.K., Chowdary, V.M., Chowdhury, A. (2010) Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeol. Jour., v.18(7), pp.1713–1728.
Machiwal, D., Jha, M.K., Mal, B.C. (2011) Assessment of groundwater potential in a semi-arid region of India using remote sensing, GIS and MCDM techniques. Water Resour. Managmt., v.25(5), pp.1359–1386.
Madrucci, V., Taioli, F., de Araújo, C.C. (2008) Groundwater favourability map using GIS multicriteria data analysis on crystalline terrain, Sao Paulo State, Brazil. Jour. Hydrol., v.357(3), pp.153–173.
Maity, D.K. and Mandal, S. (2017) Identification of groundwater potential zones of the Kumari river basin, India: an RS & GIS based semiquantitative approach. Environ. Develop. Sustain., v.21(2), pp.1013–1034.
Mallick, J., Singh, C.K., Al-Wadi, H., Ahmed, M., Rahman, A., Shashtri, S., Mukherjee, S. (2015) Geospatial and geostatistical approach for groundwater potential zone delineation. Hydrol. Process., v.29(3), pp.395–418.
Nagarajan, M. and Singh, S. (2009) Assessment of groundwater potential zones using GIS technique. Jour. Indian Soc. Remote Sens., v.37(1), pp.69–77.
Naghibi, S.A., Pourghasemi, H.R., Dixon, B. (2016) GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran. Environ. Monit. Assess., v.188(1), pp.44.
Price, J.C. (1995) Examples of high resolution visible to near infrared-reflectance spectra and a standardized collection for remote sensing studies: Internat. Jour. Remote Sens., v. 16, pp.993–1000.
Pourtaghi, Z.S. and Pourghasemi, H.R. (2014) GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran. Hydrogeol. Jour., v.22(3), pp.643–662.
Rahmati, O., Samani, A.N., Mahdavi, M., Pourghasemi, H.R., Zeinivand, H. (2015) Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS. Arabian Jour. Geosci., v.8(9), pp.7059–7071.
Rao, Y.S. and Jugran, D.K. (2003) Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using Remote Sensing and GIS. Hydrol. Sci. Jour., v.48(5), pp.821–833.
Reddy, P.R., Kumar, K.V., Seshadri, K. (1996) Use of IRS-1C data in groundwater studies. Current Science, 70(7), 600–605.
Sener, E., Davraz, A., Ozcelik, M. (2005) Integration of GIS and remote sensing in groundwater investigations: a case study in Burdur, Turkey. Hydrogeol. Jour., v.13(5–6), pp.826–834.
Subba Rao, N. & John Devada, D. (2003) Flouride incidence in groundwater in an area of peninsular India. Environ. Geol., v.45(2), pp.243–251.
Subhash Babu, A., Udayalaxmi, G. and Ramadass, G. (2014) Integration of Litho-Units derived from Satellite data. International Jour. Res. Sci. Tech., v. 1(11), pp.26–30.
Waikar M.L. and Nilawar A.P. (2014) Identification of groundwater potential zone using remote sensing and GIS technique. Internat. Jour. Innovat. Res. Sci. Engg. Tech., v.3(5), pp.12163–12174.
Acknowledgements
We are grateful to DST, New Delhi for providing funds to carry out research work with the Inspire Fellowship and we greatly acknowledge the Centre of Exploration Geophysics, Osmania University, Hyderabad for allowing us to do the research.
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Navitha, K., Madhusudan Rao, B. & Sandhya, R. Assessment of Groundwater Potential Zone using Multi-criteria Decision-making Technique: A Case Study in the South-western Part of Yadadri Bhuvanagiri District, Telangana, India. J Geol Soc India 99, 539–544 (2023). https://doi.org/10.1007/s12594-023-2342-9
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DOI: https://doi.org/10.1007/s12594-023-2342-9