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Delineating groundwater prospect zones in a region with extreme climatic conditions using GIS and remote sensing techniques: A case study from central India

  • Annadasankar Roy
  • Tirumalesh KeesariEmail author
  • Uday Kumar Sinha
  • Chidambaram Sabarathinam
Article
  • 256 Downloads

Abstract

Sustainable groundwater management of an extreme climatic region is very important from both social and economic point of view. This study attempts to delineate the groundwater potential zones of Sonepur district, Odisha, which falls under an extreme climatic region, using remote sensing, geographical information system and Saaty’s analytical hierarchy process (AHP). Different ancillary data, multiple data sets obtained from LANDSAT 8 OLI and ASTER Level-1T were used in conjunction with Cartosat-1 imagery to study the detailed physical attributes of the study area and to prepare the groundwater prospect map using a weighted overlay method in ArcGIS 10.4 software. The AHP technique was used for determining the weights of each layer. From the groundwater prospect map, it was found that 52% of the area belongs to the moderate groundwater prospect zone followed by good to very good, very good to excellent (32%) and poor (16%) groundwater prospect zones. Statistical analysis of the number of existing wells in each of these water potential zones and their water level was used to verify the accuracy of the water potentiality estimated in this study. The groundwater potentiality map prepared as a part of this study would serve as an important tool for identifying suitable zones for rainwater harvesting and also for managing groundwater abstraction for a safe and sustainable water supply.

Keywords

Groundwater potential zones sustainable groundwater management Saaty’s analytic hierarchy processes weighted overlay method 

Notes

Acknowledgements

The authors wish to acknowledge the contribution by Mr Ajay Jaryal and Mr S N Kamble of Isotope Hydrology Section and Mr Santu Ghosh of Indian Association for the Cultivation of Science, Kolkata.

References

  1. Abdullahi B U, Rai J K, Momoh M and Udensi E E 2013 Effect of lineaments on groundwater occurrence; Int. J. Env. Bioenergy8(1) 22–32.Google Scholar
  2. Agarwal E, Agarwal R, Garg R D and Garg P K 2013 Delineation of groundwater potential zone: An AHP/ANP approach; J. Earth Syst. Sci.122(3) 887–898,  https://doi.org/10.1007/s12040-013-0309-8.CrossRefGoogle Scholar
  3. Barik K K, Dalai P C and Goudo S P et al. 2017 Delineation of groundwater potential zone in Baliguda Block of Kandhamal District, Odisha using geospatial technology approach; Int. J. Adv. Remote Sens. GIS6(3) 2068–2079.CrossRefGoogle Scholar
  4. Bera K, Pal M and Bandyopadhyay J 2012 Application of RS and GIS in flood management a case study of Mongalkote blocks, Burdwan, West Bengal, India; Int. J. Sci. Res. Publ.2(11) 1–9.Google Scholar
  5. Beura D 2015 Floods in Mahanadi River, Odisha, India: Its causes and management; Int. J. Eng. Appl. Sci.2(2) 51–55.Google Scholar
  6. Bouwer H 2006 Artificial recharge of groundwater: Hydrogeology and engineering; Hydrogeol. J. 10(1) 121–142.CrossRefGoogle Scholar
  7. Carlston C W 1963 Drainage density and streamflow; U.S. Geol. Surv. Prof. Pap. No. 422-C, C1–C8.Google Scholar
  8. Central Ground Water Board (CGWB) 2013 Ground water information booklet; Ministry of Water Resources, Govt. of India, Suvarnapur District, Orissa State.Google Scholar
  9. Central Ground Water Board (CGWB) 2015 Ground water year book (2014–2015); South Eastern Region Bhubaneswar.Google Scholar
  10. Chakraborti A K 1999 Achievements in use of satellite remote sensing in practical water resources management in India – what is needed for further integration; In: United Nations/international astronautical federation workshop on space: An integral part of sustainable development, Amsterdam and Enschede, Netherlands.Google Scholar
  11. Cook P G 2003 A guide to regional groundwater flow in fractured rock aquifers; CSIRO Land and Water, Glen Osmond, SA, Australia, ISBN 1 74008 233 8.Google Scholar
  12. Das S, Behera S C, Kar A, Narendra P and Guha S 1997 Hydrogeomorphological mapping in ground water exploration using remotely sensed data – A case study in keonjhar district, orissa; J. Indian Soc. Remote25 247–259,  https://doi.org/10.1007/BF03019366.CrossRefGoogle Scholar
  13. Deepa S, Venkateswaran S, Ayyandurai R, Kannan R and Vijay Prabhu M 2016 Groundwater recharge potential zones mapping in upper Manimuktha Sub-basin, Vellar river, Tamil Nadu, India using GIS and remote sensing techniques; Model. Earth Syst. Environ.2(3) 137,  https://doi.org/10.1007/s40808-016-0192-9.CrossRefGoogle Scholar
  14. Deepika B, Avinash K and Jayappa K S 2013 Integration of hydrological factors and demarcation of groundwater prospect zones: Insights from remote sensing and GIS techniques; Environ. Earth Sci.70 1319,  https://doi.org/10.1007/s12665-013-2218-1.CrossRefGoogle Scholar
  15. Fernandes A J and Rudolph D L 2001 The influence of Cenozoic tectonics on the groundwater production capacity of fractured zones: A case study in São Paulo, Brazil; Hydrogeol. J.9 151–167.CrossRefGoogle Scholar
  16. GSI 2007 Report on regional survey for locating Kimberlite/Lamproite pipe rocks along the upper reaches of Mahanadi and IB rivers in parts of Bargarh, Jharsuguda, Sundargarh, Sambalpur and Sonepur Districts, Orissa.Google Scholar
  17. GSI 2009 Regional survey to identify potential blocks for occurrence of Kimberlite/Lamproite pipes in Ong and Tel River Basins, Bargarh, Bolangir and Sonepur Districts, Orissa (P-II).Google Scholar
  18. GSI 2011 Geology and mineral resources of the states of India.Google Scholar
  19. GSI and NRSC 2012 National geomorphological and Lineament mapping on 1:50,000 scale; Natural Resources Census Project, National Remote Sensing Centre, ISRO, Hyderabad.Google Scholar
  20. Hallberg G R, Hoyer B E and Rango A 1973 Application of ERTS1 imagery to flood inundation mapping; NASA Special Publication No. 327; Symposium on significant results obtained from the earth resources satellite 1, Vol. 1, Technical Presentations, Section A, pp. 745–753.Google Scholar
  21. Hillel D 1982 Introduction to soil physics; Academic Press, INC, New York, San Diego, CA (taken from USDA Natural Resources Conservation Service),  https://doi.org/10.1016/c2009-0-03052-9.
  22. Hung L Q, Batelaan O and De Smedt F 2005 Lineament extraction and analysis, comparison of LANDSAT ETM and ASTER imagery, Case study: Suoimuoi tropical karst catchment, Vietnam; Proc. SPIE5983 5983-1–5983-12,  https://doi.org/10.1117/12.627699.CrossRefGoogle Scholar
  23. Ibrahim-Bathis K and Ahmed S A 2016 Geospatial technology for delineating groundwater potential zones in Doddahalla watershed of Chitradurga district, India; Egypt. J. Remote Sens.19(2) 223–234,  https://doi.org/10.1016/j.ejrs.2016.06.002.CrossRefGoogle Scholar
  24. Jasrotia A S, Bhagat B D, Kumar A and Kumar R 2013 Remote sensing and GIS approach for delineation of groundwater potential and groundwater quality zones of Western Doon Valley, Uttarakhand, India; J. Indian Soc. Remote41(2) 365–377,  https://doi.org/10.1007/s12524-012-0220-9.CrossRefGoogle Scholar
  25. Jena P P 2018 Climate change and its worst effect on coastal Odisha – An overview of its impact in Jagatsinghpur District; IOSR J. Hum. Soc. Sci.23(1) 01–15.Google Scholar
  26. Jenks G F 1967 The data model concept in statistical mapping; International yearbook of cartography, Vol. 7, pp. 186–190.Google Scholar
  27. Kafi K M, Shafri H Z M and Shariff A B M 2014 An analysis of LULC change detection using remotely sensed data; A case study of Bauchi City; IOP Conf. Ser. Earth Environ. Sci.20 012056,  https://doi.org/10.1088/1755-1315/20/1/012056.CrossRefGoogle Scholar
  28. Karanam H, Mahapatra A, Saranya Seeram V, Sontena P and Shaik M 2014 Delineation of groundwater potential zones in greater Visakhapatnam Municipal Corporation (GVMC) area, Andhra Pradesh, India – A geospatial approach; Int. J. Innov. Sci. Eng. Tech.1(4) 478–492.Google Scholar
  29. Karanth K R 1987 Ground water assessment, development and management; Tata McGraw Hill Publishing Company Ltd., New Delhi, 381p.Google Scholar
  30. Karnieli A, Meisels A, Fisher L and Arkin Y 2006 Automatic extraction and evaluation of geological linear features from digital remote sensing data using a Hough transform; Photogramm. Eng. Remote Sens.62(5) 525–531.Google Scholar
  31. Kiran S R and Ahmed S A 2014 Lineament extraction from Southern Chitradurga Schist Belt using Landsat TM, ASTERGDEM and geomatics techniques; Int. J. Comput. Appl.93(12) 12–20.Google Scholar
  32. Kumar P, Herath S, Avtar R and Takeuchi K 2016 Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques; Sust. Water Resour. Manage.2(4) 419–430,  https://doi.org/10.1007/s40899-016-0072-5.CrossRefGoogle Scholar
  33. Magowe M and Carr J R 1999 Relationship between lineaments and ground water occurrence in western Botswana; Ground Water37(2) 282–286,  https://doi.org/10.1111/j.1745-6584.1999.tb00985.x.CrossRefGoogle Scholar
  34. McGarry D 2006 A methodology of visual-soil field assessment tool to support, enhance, and contribute to the LADA program; Food and Agriculture Organization, Rome, Italy.Google Scholar
  35. Menon D K and Bhavana V 2016 An overview of drought evaluation and monitoring using remote sensing and GIS; SSRG Int. J. Geo. Info. Geol. Sci. (SSRG-IJGGS)3(5) 32–37.Google Scholar
  36. Mishra N, Khare D, Gupta K K and Shukla R 2014 Impact of land use change on groundwater – A review; Adv. Water Resour. Prot.2 28–41,  https://doi.org/10.1007/s11769-011-0508-7.CrossRefGoogle Scholar
  37. Mogaji K A, Aboyeji O S and Omosuyi G O 2011 Mapping of lineaments for groundwater targeting in the basement complex region of Ondo State, Nigeria, using remote sensing and geographic information system (GIS) techniques; Int. J. Water Res. Environ. Eng.3(7) 150–160.Google Scholar
  38. Mohanty C and Behera S C 2010 Integrated remote sensing and GIS study for hydrogeomorphological mapping and delineation of groundwater potential zones in Khallikote block, Ganjam district, Orissa; J. Indian Soc. Remote38(2) 345–354,  https://doi.org/10.1007/s12524-010-0023-9.CrossRefGoogle Scholar
  39. Mondal M S, Pandey A C and Garg R D 2008 Groundwater prospects evaluation based on hydrogeomorphological mapping using high resolution satellite images: A case study in Uttarakhand; J. Indian Soc. Remote36(1) 69–76,  https://doi.org/10.1007/s12524-008-0007-1.CrossRefGoogle Scholar
  40. Murad H and Islam A K M S 2011 Drought assessment using remote sensing and GIS in North-West of Bangladesh; In: 3rd international conference on water & flood management.Google Scholar
  41. Murasingh S 2014 Analysis of groundwater potential zones using electrical resistivity, RS & GIS techniques in a typical mine area of Odisha; Department of Civil Engineering National Institute of Technology, Rourkela.Google Scholar
  42. Murasingh S, Jha R and Adamala S 2018 Groundwater for sustainable development geospatial technique for delineation of groundwater potential zones in mine and dense forest area using weighted index overlay technique; Groundwater Sust. Dev.7 387–399.CrossRefGoogle Scholar
  43. Nag S K and Ghosh P 2013 Delineation of groundwater potential zone in Chhatna Block, Bankura District, West Bengal, India using remote sensing and GIS techniques; Env. Earth Sci.70(5) 2115–2127,  https://doi.org/10.1007/s12665-012-1713-0.CrossRefGoogle Scholar
  44. Ndatuwong L G and Yadav G S 2014 Integration of hydrogeological factors for identification of groundwater potential zones using remote sensing and GIS techniques; J. Geosci. Geomatics2(1) 11–16,  https://doi.org/10.12691/jgg-2-1-2.CrossRefGoogle Scholar
  45. NRSC 2014 Land use/land cover database on 1:50,000 scale, Natural Resources Census Project, LUCMD, LRUMG, RSAA, National Remote Sensing Centre, ISRO, Hyderabad.Google Scholar
  46. Oluwasegun O P 2018 Electrical resistivity technique for delineating the aquifer in parts of Rufus Giwa Polytechnic, Owo, Ondo State, Nigeria; Int. J. Eng. Sci.7(7) 79–87.Google Scholar
  47. Ota A B 2001 Orissa drought 2001: Its magnitude and consequences; In: Livelihoods and poverty reduction: Lessons from Eastern India, 25–27 September 2001.Google Scholar
  48. Pareta K and Pareta U 2015 Geomorphological interpretation through satellite imagery & DEM data; Am. J. Geophys. Geochem. Geosyst. 1(2) 19–36.Google Scholar
  49. Phiri D and Morgenroth J 2017 Developments in Landsat land cover classification methods: A review; Remote Sens.9(9) 967,  https://doi.org/10.3390/rs9090967.CrossRefGoogle Scholar
  50. Pinto D, Shrestha S and Babel M S et al. 2017 Delineation of groundwater potential zones in the Comoro watershed, Timor Leste using GIS, remote sensing and analytic hierarchy process (AHP) technique; Appl. Water Sci.7 503–519.CrossRefGoogle Scholar
  51. Prasad A D and Gairola A 2013 Mapping of lineaments and knowledge base preparation using Geomatics techniques for part of the Godavari and Tapi Basins, India: A case study; Int. J. Comput. Appl.70(9) 39–47,  https://doi.org/10.1016/j.asr.2012.10.004.CrossRefGoogle Scholar
  52. Raghu V and Mruthyunjaya R K 2011 Hydrogeomorphological mapping at village level using high resolution satellite data and impact analysis of check dams in part of Akuledu Vanka watershed, Anantapur District, Andhra Pradesh; J. Ind. Geophys. Union15(1) 1–8.Google Scholar
  53. Saaty T L 2008 Decision making with the analytic hierarchy process; Int. J. Serv. Sci.1(1) 83,  https://doi.org/10.1504/IJSSCI.2008.017590.CrossRefGoogle Scholar
  54. Sanyal J and Lu X X 2004 Application of remote sensing in flood management with special reference to monsoon Asia: A review; Nat. Hazards33 283–301.CrossRefGoogle Scholar
  55. Sar N, Khan A, Chatterjee S and Das A 2015 Hydrologic delineation of ground water potential zones using geospatial technique for Keleghai river basin, India; Model. Earth Syst. Env.1(3) 25,  https://doi.org/10.1007/s40808-015-0024-3.CrossRefGoogle Scholar
  56. Senanayake I P, Dissanayake D M D O K, Mayadunna B B and Weerasekera W L 2016 An approach to delineate groundwater recharge potential sites in Ambalantota, Sri Lanka using GIS techniques; Geosci. Front.7(1) 115–124,  https://doi.org/10.1016/j.gsf.2015.03.002.CrossRefGoogle Scholar
  57. Shankar B, Tornabene L L, Osinski G R, Roffey M, Bailey J M and Smith D 2016 Automated lineament extraction technique for the Sudbury impact structure using remote sensing datasets – An update; In: 47th Lunar and Planetary Science Conference, 2016.Google Scholar
  58. Shirke J M, Chevva K and Panvalkar G 2005 Mapping of a palaeochannel course of the Wainganaga River, Maharashtra, India; Bull. Eng. Geol. Env.64 307–314.CrossRefGoogle Scholar
  59. Sikdar P K, Chakraborty S, Adhya E and Paul P K 2004 Land use/land cover changes and groundwater potential zoning in and around Raniganj coal mining area, Bardhaman District, West Bengal – A GIS and remote sensing approach; J. Spat. Hydrol.4(2) 1–24.Google Scholar
  60. Stephen O A, Adetayo F F and Ajibade O M 2011 Geological and geophysical evaluation of the Ajana area’s groundwater potential, southwestern Nigeria; Earth Sci. Res. J.15(1) 34–40.Google Scholar
  61. Strahler A N 1964 Quantitative geomorphology of drainage basins and channel networks; In: Handbook of applied hydrology (ed.) Chow V T, McGraw-Hill, New York, pp. 439–476.Google Scholar
  62. Suganthi S, Elango L and 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 Sci. Res. J.17(2) 87–95.Google Scholar
  63. Swain M 2014 Crop insurance for adaptation to climate change in India Working Papers Crop Insurance change in India for adaptation to climate; Asia Research Centre, London School of Economics and Political Science,  https://doi.org/10.13140/RG.2.2.12624.71689.
  64. Taesombat W and Sriwongsitanon N 2009 Areal rainfall estimation using spatial interpolation techniques; Sci. Asia35(3) 268–275,  https://doi.org/10.2306/scienceasia1513-1874.2009.35.268.CrossRefGoogle Scholar
  65. Taradatt 2016 Odisha district Gazetteers Report, Gopabandhu Academy of Administration (Gazetteers), General Administration Department, Government of Odisha.Google Scholar
  66. Unesco 1984 Ground water in hard rocks; Project 8.6 of the International Hydrological Programme Prepared by the Project Panel, Ingemar Larsson: Chairman, ISBN 92-3-101980-5.Google Scholar
  67. Yeh H F, Cheng Y S and Lin H I et al. 2016 Mapping groundwater recharge potential zone using a GIS approach in Hualian River, Taiwan; Sustain. Environ. Res.26 33–43.CrossRefGoogle Scholar
  68. Zeinolabedini M and Esmaeily A 2015 Groundwater potential assessment using geographic information systems and AHP method (case study: Baft City, Kerman, Iran); Int. Arch. Photogramm, Remote Sens. Spat. Inf. Sci.XL-1/W5, 2015 769–774.CrossRefGoogle Scholar

Copyright information

© Indian Academy of Sciences 2019

Authors and Affiliations

  1. 1.Isotope and Radiation Application DivisionBhabha Atomic Research CentreTrombay, MumbaiIndia
  2. 2.Water Research CentreKuwait Institute for Scientific ResearchSafatKuwait

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