5,508
Views
6
CrossRef citations to date
0
Altmetric
Research Articles

Groundwater potential zones identification and validation in Peninsular India

, , &
Pages 86-100 | Received 01 Apr 2022, Accepted 29 Jun 2022, Published online: 18 Jul 2022

References

  • Agarwal, E., Agarwal, R., Garg, R. D., & Garg, P. K. (2013). Delineation of groundwater potential zone: An AHP/ANP approach. Journal of Earth System Science, 122(3), 887–898. https://doi.org/10.1007/s12040-013-0309-8
  • Arabameri, A., Rezaei, K., Cerda, A., Lombardo, L., & Rodrigo-Comino, J. (2019). GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches. Science of the Total Environment, 658, 160–177. https://doi.org/10.1016/j.scitotenv.2018.12.115
  • 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. Environmental Earth Sciences, 59(6), 1209–1222. https://doi.org/10.1007/s12665-009-0110-9
  • Das, S. (2019). Comparison among influencing factor, frequency ratio, and analytical hierarchy process techniques for groundwater potential zonation in Vaitarna basin, Maharashtra, India. Groundwater for Sustainable Development, 8, 617–629. https://doi.org/10.1016/j.gsd.2019.03.003
  • Das, N., & Mukhopadhyay, S. (2020). Application of multi-criteria decision making technique for the assessment of groundwater potential zones: A study on Birbhum district, West Bengal, India. Environment, Development and Sustainability, 22(2), 931–955. https://doi.org/10.1007/s10668-018-0227-7
  • Fetter, C. W. (1994). Applied hydrogeology (3rd ed.). Macmillan College Publishing Company.
  • Horton, R. E. (1932). Drainage-Basin characteristics. Transactions, American Geophysical Union, 13(1), 350–361. https://doi.org/10.1029/TR013i001p00350
  • 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 Resources Management, 21(2), 427–467. https://doi.org/10.1007/s11269-006-9024-4
  • Kumar, M. G., 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. https://doi.org/10.1007/s12524-008-0033-z
  • Kumar N, Singh S Kumar and Pandey H K. (2018). Drainage morphometric analysis using open access earth observation datasets in a drought-affected part of Bundelkhand, India. Appl Geomat, 10(3), 173–189. https://doi.org/10.1007/s12518-018-0218-2
  • Kumar N and Singh S Kumar. (2021). Soil erosion assessment using earth observation data in a trans-boundary river basin. Nat Hazards, 107(1), 1–34. https://doi.org/10.1007/s11069-021-04571-6
  • Kumar, M., Singh, S. K., Kundu, A., Tyagi, K., Menon, J., Frederick, A., Lal, D., & Lal, D. (2022). GIS-based multi-criteria approach to delineate groundwater prospect zone and its sensitivity analysis. Applied Water Science, 12(4), 1–14. https://doi.org/10.1007/s13201-022-01585-8
  • Kumar Pradhan R, Srivastava P K, Maurya S, Kumar Singh S and Patel D P. (2020). Integrated framework for soil and water conservation in Kosi River Basin. Geocarto International, 35(4), 391–410. https://doi.org/10.1080/10106049.2018.1520921
  • 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 Resources Management, 25(5), 1359–1386. https://doi.org/10.1007/s11269-010-9749-y
  • Magesh, N. S., Chandrasekar, N., & Soundranayagam, J. P. (2012). Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geoscience Frontiers, 3(2), 189–196. https://doi.org/10.1016/j.gsf.2011.10.007
  • Maity, D. K., & Mandal, S. (2019). Identification of groundwater potential zones of the Kumari river basin, India: An RS & GIS based semi-quantitative approach. Environment, Development and Sustainability, 21(2), 1013–1034. https://doi.org/10.1007/s10668-017-0072-0
  • Mohamed, M. M., & Elmahdy, S. I. (2017). Fuzzy logic and multi-criteria methods for groundwater potentiality mapping at Al Fo’ah area, the United Arab Emirates (UAE): An integrated approach. Geocarto International, 32(10), 1120–1138. https://doi.org/10.1080/10106049.2016.1195884
  • Mondal, N. C., Rao, V. A., Singh, V. S., & Sarwade, D. V. (2008). Delineation of concealed lineaments using electrical resistivity imaging in granitic terrain. Current Science, 94(8), 1023–1030.
  • Murmu, P., Kumar, M., Lal, D., Sonker, I., & Singh, S. K. (2019). Delineation of groundwater potential zones using geospatial techniques and analytical hierarchy process in Dumka district, Jharkhand, India. Groundwater for Sustainable Development, 9, 100239. https://doi.org/10.1016/j.gsd.2019.100239
  • Nagarajan, M., & Singh, S. (2009). Assessment of groundwater potential zones using GIS technique. Journal of the Indian Society of Remote Sensing, 37(1), 69–77. https://doi.org/10.1007/s12524-009-0012-z
  • Naghibi, S. A., Pourghasemi, H. R., & Abbaspour, K. (2018). A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS. Theoretical and Applied Climatology, 131(3–4), 967–984. https://doi.org/10.1007/s00704-016-2022-4
  • Pande, C. B., Moharir, K. N., Singh, S. K., & Varade, A. M. (2020). An integrated approach to delineate the groundwater potential zones in Devdari watershed area of Akola district, Maharashtra, Central India. Environment, Development and Sustainability, 22(5), 4867–4887. https://doi.org/10.1007/s10668-019-00409-1
  • Pande, C. B., Moharir, K. N., Panneerselvam, B., Singh, S. K., Elbeltagi, A., Pham, Q. B., Rajesh, J., & Rajesh, J. (2021). Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques. Applied Water Science, 11(12), 1–20. https://doi.org/10.1007/s13201-021-01522-1
  • Pande, C. B., Moharir, K. N., Singh, S. K., Elbeltagi, A., Pham, Q. B., Panneerselvam, B., Kouadri, S., & Kouadri, S. (2022). Groundwater flow modeling in the basaltic hard rock area of Maharashtra, India. Applied Water Science, 12(1), 1–14. https://doi.org/10.1007/s13201-021-01525-y
  • Pandey, H. K., Singh, V. K., Singh, S. K., Douzals, J.-P., Guibal, R., Grimbuhler, S., Grünberger, O., Lissalde, S., Mazella, N., Samouëlian, A., & Simon, S. (2022). Multi-criteria decision making and Dempster-Shafer model–based delineation of groundwater prospect zones from a semi-arid environment. Environmental Science and Pollution Research, 29(1), 1–19. https://doi.org/10.1007/s11356-021-17416-3
  • Rawat, K. S., Jeyakumar, L., Singh, S. K., & Tripathi, V. K. (2019). Appraisal of groundwater with special reference to nitrate using statistical index approach. Groundwater for Sustainable Development, 8, 49–58. https://doi.org/10.1016/j.gsd.2018.07.006
  • Saaty TL (1980) The analytic hierarchy process. McGraw Hill, New York
  • Singh, S., Singh, C., & Mukherjee, S. (2010). Impact of land-use and land-cover change on groundwater quality in the Lower Shiwalik hills: A remote sensing and GIS based approach. Open Geosciences, 2(2), 124–131. https://doi.org/10.2478/v10085-010-0003-x
  • Singh, L. K., Jha, M. K., & Chowdary, V. M. (2018). Assessing the accuracy of GIS-based multi-criteria decision analysis approaches for mapping groundwater potential. Ecological Indicators, 91, 24–37. https://doi.org/10.1016/j.ecolind.2018.03.070
  • Singh VG., & Singh SK (2022). Analysis of geo-morphometric and topo-hydrological indices using COP-DEM: a case study of Betwa River Basin, Central India. Geology, Ecology, and Landscapes. https://doi.org/10.1080/24749508.2022.2097376
  • Subba Rao, N., & Prathap Reddy, R. (2004). Geoenvironmental appraisal in a developing urban area. Environmental Geology, 47(1), 20–29. https://doi.org/10.1007/s00254-004-1122-0
  • Subba Rao, N. (2006). Groundwater potential index in a crystalline terrain using remote sensing data. Environmental Geology, 50(7), 1057–1067. https://doi.org/10.1007/s00254-006-0280-7
  • Subba Rao, N. (2009). A numerical scheme for groundwater development in a watershed basin of basement terrain: A case study from India. Hydrogeology Journal, 17(2), 379–396. https://doi.org/10.1007/s10040-008-0402-2
  • Subba Rao, N. (2011). Guidelines for success of well site selections. Current Science, 100(8), 1119–1120.
  • Subba Rao, N., Moeen, S., Surya Rao, P., Dinakar, A., Nageswara Rao, P. V., Sunitha, B., Rudra, D., & Srinivasu, N. (2016). Morphometric approach using remote sensing and GIS in watershed management. Journal of Applied Geochemistry, 18(1), 45–56.
  • Subba Rao, N., Sakram, G., & Rashmirekha, D. (2022). Deciphering artificial groundwater recharge suitability zones in the agricultural area of a river basin in Andhra Pradesh, India using geospatial techniques and analytical hierarchical process method. Catena, 212, 106085. https://doi.org/10.1016/j.catena.2022.106085
  • Suganthi, S., Elango, L., & Subramanian, S. K. (2013). Groundwater potential zonation by remote sensing and gis techniques and its relation to the groundwater level in the coastal part of the Arani and Koratalai River Basin, Southern India. Earth Sciences Research Journal, 17(2), 87–95. http://www.scielo.org.co/pdf/esrj/v17n2/v17n2a2.pdf
  • Suja Rose, R. S., & Krishnan, N. (2009). Spatial analysis of groundwater potential using remote sensing and GIS in the Kanyakumari and Nambiyar basins, India. Journal of the Indian Society of Remote Sensing, 37(4), 681–692. https://doi.org/10.1007/s12524-009-0058-y
  • Thomas, A., Sharma, P. K., Sharma, M. K., & Sood, A. (1999). Hydrogeomorphological mapping in assessing ground water by using remote sensing data A case study in Lehra gaga block, Sangrur district, Punjab. Journal of the Indian Society of Remote Sensing, 27(1), 31–42. https://doi.org/10.1007/BF02990773
  • 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, southeastern Australia. Hydrogeology Journal, 15(1), 75–96. https://doi.org/10.1007/s10040-006-0129-x
  • Yadav S Kumar, Singh S Kumar, Gupta M and Srivastava P K. (2014). Morphometric analysis of Upper Tons basin from Northern Foreland of Peninsular India using CARTOSAT satellite and GIS. Geocarto International, 29(8), 895–914. https://doi.org/10.1080/10106049.2013.868043
  • Yadav S Kumar, Dubey A, Szilard S and Singh S Kumar. (2018). Prioritisation of sub-watersheds based on earth observation data of agricultural dominated northern river basin of India. Geocarto International, 33(4), 339–356. https://doi.org/10.1080/10106049.2016.1265592
  • Yadav S Kumar, Dubey A, Singh S Kumar and Yadav D. (2020). Spatial regionalisation of morphometric characteristics of mini watershed of Northern Foreland of Peninsular India. Arab J Geosci, 13(12). https://doi.org/10.1007/s12517-020-05365-z
  • Zolekar, R. B., & Bhagat, V. S. (2015). Multi-criteria land suitability analysis for agriculture in hilly zone: Remote sensing and GIS approach. Computers and Electronics in Agriculture, 118, 300–321. https://doi.org/10.1016/j.compag.2015.09.016
  • Zomlot, Z., Verbeiren, B., Huysmans, M., & Batelaan, O. (2015). Spatial distribution of groundwater recharge and base flow: Assessment of controlling factors. Journal of Hydrology: Regional Studies, 4, 349–368. https://doi.org/10.1016/j.ejrh.2015.07.005