GIS-remotely sensed data integration has advanced groundwater research. This integration provides a powerful tool for evaluating and prioritizing groundwater supplies. This research uses similar methods to map prospective zones for groundwater availability calculations in the lower Kharun basin. GIS layers were generated for data interpretation, analysis, and satellite picture conversion. The methods created geology, geomorphology, soil, land use, rainfall, lineament, slope, ground water depth, and drainage density layers. The MIF technique, which considers many factors, scores and weights the raster maps of these components to evaluate the data. To find high-potential groundwater locations, a statistical technique is performed on each thematic weighted layer. Four grades, extremely poor, poor, good, and very good, were detected in the groundwater potential zones. The study's groundwater potential zones improve groundwater resource planning and management.

This study examines the Lower Kharun Watershed in central Chhattisgarh. The area's groundwater potential was identified using GIS and AHP (analytical hierarchical process) methods, which yielded accurate results. Potential zones emerge after sorting and weighting layers. The outcome is evaluated using CGWB drill yield data, and a groundwater potential map is created in GIS.


AHP, Groundwater Potential Zone, GIS, Remote Sensing, Groundwater, Kharun

Full Text:



ARULBALAJI P., PADMALAL D., SREELASH K. (2019). GIS , AHP techniques based delineation of groundwater potential zones: A case study from southern Western Ghats India, Scientific Reports, Vol. 9, Issue 1, pp. 1–17

AYAZI M.H., PIRASTEH S., ARVIN A.K.P., PRADHAN B., NIKOURAVAN B., MANSOR S. (2010). Disasters, risk reduction in groundwater: Zagros Mountain Southwest Iran using geoinformatics techniques, Disaster Advances, Vol. 3, Issue 1, pp. 51-57.

BAGYARAJ M, RAMKUMAR T, VENKATRAMANAN S., GURUGNANAM B. (2013). Application of remote sensing, GIS analysis for identifying groundwater potential zone in parts of Kodaikanal Taluk, South Indi, Front Earth Science, Vol. 7, Issue 1, pp. 65–75.

CHAUDHARI A.., MEHTA D.., SHARMA N. (2022). Coupled effect of seawater intrusion on groundwater quality: study of South‒West zone of Surat city, Water Supply, Vol. 22, Issue 2, pp. 1716-1734.

CHAUDHARI A.N., MEHTA D. SHARMA, D., NEERAJ D. (2021). An assessment of groundwater quality in South‒West zone of Surat city, Water Supply, Vol., 21, Issue 6, pp. 3000-3010.

CHAUDHARY B.S., KUMAR S. (2018). Identification of groundwater potential zones using remote sensing, GIS of K-J watershed India Journal of Geolocial Society of India, Vol. 91, pp. 717–721.

COWEN D.J. (1988). SIG versus CAD versus DBMS: what are the differences? Photogrammetric Engineering and Remote Sensing, Vol. 54, Issue 11, pp. 1551-1555.

DHIWAR B.K., VERMA S., PRASAD A.D. (2022). Identification of Flood Vulnerable Area for Kharun River Basin by GIS Techniques, Advanced Modelling, Innovations in Water Resources Engineering, pp. 385-408. Springer, Singapore.

GANAPURAM S., KUMAR G.V., KRISHNA I.M., KAHYA E., DEMIREL M.C. (2009). Mapping of groundwater potential zones in the Musi basin using remote sensing data GIS, Advances in Engineering Software, Vol. 40, Issue 7, pp. 506-518.

GOWTHAMAN D., BALAGANESAN P., MOHANAMBAL B., RENUKA J., ACHOUR B. (2022). Analyzing the analytical formulation for nonlinear roll motion of a ship with irregular waves utilizing homotopy perturbation method, Larhyss Journal, No 51, pp.19-30.

HALDER S., ROY M.B., ROY P.K. (2020). Fuzzy logic algorithm based analytic hierarchy process for delineation of groundwater potential zones in complex topography, Arabian Journal of Geosciences, Vol. 13, pp. 574.

HOUNTONDJI B., CODO F.P., AINA M.P. (2020). Characterization of hydrogeological conditions from the Monzoungoudo groundwater reservoir in Benin, Larhyss Journal, No 41, pp. 223-232.

INDHULEKHA K. JHARIYA D.C. (2020). Delineation of groundwater potential zones in Samoda watershed, Chhattisgarh India, using Remote Sensing, GIS techniques, IOP Conference Series: Earth, Environmental Science, Vol., 597, Issue 1, pp. 012007), IOP Publishing.

JAISWAL T., JHARIYA D.C. (2020). Impacts of l, use l, cover change on surface temperature, groundwater fluctuation in Raipur district, Journal of the Geological Society of India, Vol. 95, Issue 4, pp. 393-402.

JAISWAL T., JHARIYA D.C. (2020). Monitoring the L, Surface, water bodies temperature, its impact on surface water turbidity in Raipur, Chhattisgarh India, IOP Conference Series: Earth, Environmental Science (Vol. 597, Issue 1, Paper 012008). IOP Publishing.

JAISWAL T., SAHU S.K., PRAVEEN N.P., RAMKUMAR T., MONDAL K.C., JHARIYA, D.C. (2022). Integrated Use of Remote Sensing, GIS Techniques for the Assessment of Groundwater Potential Zone Using Multi-Influencing Factors in Kulhan Watershed, Chhattisgarh India, In: Laishram, B., Tawalare, A. (eds) Recent Advancements in Civil Engineering, Lecture Notes in Civil Engineering, Vol. 172, Springer, Singapore.

JHARIYA D.C., KUMAR T., GOBINATH M., DIWAN P., KISHORE N. (2016). Assessment of groundwater potential zone using remote sensing, GIS, multi criteria decision analysis techniques, Journal of the Geological Society of India, Vol.88, Issue 4, pp. 481-492.

MALCZEWSKI J. (1999). GIS, multicriteria decision analysis, John Wiley and Sons.

MANAP M.A., SULAIMAN W.N. A., RAMLI M.F., PRADHAN B., SURIP N. A. (2013). knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia, Arabian Journal of Geoscience, Vol. 6, pp. 1621–1637.

MEHTA D., CHAUHAN P., PRAJAPATI, K. (2018). Assessment of ground water quality index status in Surat City, Next Frontiers in Civil Engineering: Sustainable, Resilient Infrastructure, Publisher Indian Institute of Technology.

MELESE T., BELAY T. (2022). Groundwater Potential Zone Mapping Using Analytical Hierarchy Process, GIS in Muga Watershed, Abay Basin, Ethiopia, Global Challenges, Vol. 6, Issue1, Paper 2100068.

MERONI E., PIÑEIRO G., GOMBERT P. (2021). Geological and hydrogeological reappraisal of the Guaraní aquifer system in the Uruguayan area, Larhyss Journal, No 48, pp. 109-133.

MUKHERJEE S. (1996), Targeting saline aquifer by remote sensing, geophysical methods in a part of Hamirpur-Kanpur India, Hydrology Journal, Vol.19, pp. 53–64.

MURUGESAN B., THIRUNAVUKKARASU R., SENAPATHI V., BALASUBRAMANIAN G. (2013). Application of remote sensing, GIS analysis for identifying groundwater potential zone in parts of Kodaikanal Taluk, South India, Journal of Front Earth Sciences, Vol. 7, Issue 1, pp. 65–75.

NAMPAK H., PRADHAN B., MANAP M.A. (2014). Application of GIS based data driven evidential belief function model to predict groundwater potential zonation, Journal of Hydrology, Vol. 513, pp. 283–300.

PATEL P., MEHTA D., SHARMA N. (2022). A review on the application of the DRASTIC method in the assessment of groundwater vulnerability, Water Supply, Vol. 22, Issue 5, pp. 5190-5205.

RAJU R.S., RAJU G.S., RAJASEKHAR M. (2019). Identification of groundwater potential zones in Mandvi River basin, Andhra Pradesh India using remote sensing, GIS, MIF techniques, HydroResearch, Vol. 2, pp. 1-11.

RAMU M.B., VINAY M. (2014). Identification of ground water potential zones using GIS, remote sensing techniques: A case study of Mysore taluk-Karnatak, International Journal of Géomatiques, Geosciences, Vol. 5, Issue 3, pp. 393–403.

SATTY T.L. (1980). The Analytical Hierarchy Process: Planning, Priority Setting, Resource Allocation, McGraw-Hill International Book Company, New York, USA, 287p.

SAATY T.L., SODENKAMP M. (2008). Making decisions in hierarchic, network systems, International Journal of Applied Decision Sciences, Vol. 1, Issue 1, pp. 24-79.

SAHU K.N. (2012). Assessment, management of groundwater for the Kharun basin using visual MODFLOW, Thesis, National Institute of Technology, Raipur, India.

SARAF A., CHOUDHARY P.R. (1998). Integrated remote sensing, GIS for groundwater exploration, identification of artificial recharge site, International Journal of Remote Sensing Vol. 19, pp. 1825–1841

SARANYA T., SARAVANAN S. (2020). Groundwater potential zone mapping using analytical hierarchy process (AHP), GIS for Kancheepuram District, Tamilnadu India, Modeling Earth Systems, Environment, Vol. 6, Issue 2, pp. 1105-1122.

SARAVANAN S., SARANYA T., ABIJITH D., JACINTH J.J., SINGH L. (2021). Delineation of groundwater potential zones for Arkavathi subwatershed, Karnataka India using remote sensing, GIS. Environmental Challenges, Vol. 5, pp. 100380.

SHUKLA A.K., AHMAD I., VERMA M.K. (2021). Change detection analysis in l, use l, cover pattern with the integration of remote sensing, GIS techniques. International Research Journal of Modernization in Engineering Technology, Science, Vol. 3, Issue 9, pp. 1334-1338.

SHUKLA A.K., AHMAD I., VERMA M.K. (2021). Snow melt runoff modelling using different hydrological model. 2021, International Research Journal of Modernization in Engineering Technology, Science, Vol. 3, Issue 9, pp.1328-1333.

SINGH P., THAKUR J.K., KUMAR S., SINGH U.C. (2011). Assessment of l, use/l, cover using geospatial techniques in a semiarid region of Madhya Pradesh India, Geospatial techniques for managing environmental resources, pp. 152-163. Springer, Dordrecht.

SORO T.D., FOSSOU N.M.R., BLE L.O., SORO G., AHOUSSI K.E., ADJIRI O.A., OGA Y.M.S., SORO N. (2020). Contribution of remote sensing and piezometry to the study of the tablecloth behavior of the high Bandama basin at Tortiya (Northern Cote d’Ivoire), Larhyss Journal, No 44, pp. 7-29

STANUJKIC D., MAGDALINOVIC N., MILANOVIC D., MAGDALINOVIC S., POPOVIC G. (2014). An efficient, simple multiple criteria model for a grinding circuit selection based on MOORA method, Informatica, Vol. 25, Issue 1, pp. 73-93.

SUGANTHI S., ELANGO L., SUBRAMANIAN S.K. (2013). Groundwater potential zonation by Remote Sensing, GIS techniques, its relation to the Groundwater level in the Coastal part of the Arani, Koratalai River Basin, Southern India, Earth Sciences Research Journal, Vol.17, Issue 2, pp. 87-95.

SURATI M.H., PRAJAPATI K.J., PARMAR U.K., MEHTA D.J. (2022). Assessment of Water Quality Index of Tapi River: A Case Study of Surat City. In: Jha, R., Singh, V.P., Singh, V., Roy, L., Thendiyath, R. (eds) Groundwater, Water Quality, Water Science, Technology Library, Vol. 119, pp. 263-277, Springer, Cham.

TUNG Y.T., PAI T.Y., LIN S.H., CHIH C.H., LEE H.Y., HSU H.W., SHIH L.H. (2014). Analytic hierarchy process of academic scholars for promoting energy saving, carbon reduction in Taiwan, Procedia Environmental Sciences, Vol. 20, pp. 526-532.

VERMA S., PRASAD A.D., VERMA M.K. (2022). Trends of Rainfall, Temperature over Chhattisgarh During 1901–2010, Advanced Modelling, Innovations in Water Resources Engineering, pp. 3-19. Springer, Singapore

VERMA S.K., PRASAD A.D., VERMA M.K. (2022). An Assessment of Ongoing Developments in Water Resources Management Incorporating SWAT Model: Overview, Perspectives, Nature Environment & Pollution Technology, Vol. 21 Issue,4.

WIND Y., SAATY T.L. (1980). Marketing applications of the analytic hierarchy process, Management science, Vol. 26, Issue 7, pp. 641-658.

YING X., ZENG G.M., CHEN G.Q., TANG L., WANG K.L., HUANG D.Y. (2007). Combining AHP with GIS in synthetic evaluation of eco-environment quality—A case study of Hunan Province, China, Ecological modelling, Vol., 209, Issue, 2-4, pp. 97-109.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.