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Comparative Validation of Groundwater Potential Zone Models Using VES, Borehole Records, and GIS/Remote Sensing in the Precambrian Basement of FCT Abuja: An AUC–ROC Performance Assessment


Authors : Ado Umar Farouq

Volume/Issue : Volume 11 - 2026, Issue 6 - June


Google Scholar : https://tinyurl.com/5xbv6srm

Scribd : https://tinyurl.com/2h4s8zj2

DOI : https://doi.org/10.38124/ijisrt/26jun1770

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Abstract : Groundwater remains the principal source of potable water supply in the Federal Capital Territory (FCT), Abuja, Nigeria, where rapid urbanization and increasing water demand have intensified pressure on the fractured Precambrian Basement Complex aquifer system. Reliable groundwater potential zone (GPZ) mapping is therefore essential for sustainable groundwater exploration and management. This study comparatively evaluated and validated groundwater potential models developed from Geographic Information Systems and Remote Sensing (GIS/RS), Vertical Electrical Sounding (VES), and borehole productivity records using the Analytical Hierarchy Process (AHP). Eight groundwaterconditioning factors; rainfall, geology, slope, drainage density, lineament density, land use/land cover, soil type, and Topographic Wetness Index (TWI) were integrated within a GIS environment to develop the GIS/RS model, while aquifer thickness, overburden thickness, aquifer resistivity, and depth to aquifer were used for the VES model, and discharge, drawdown, and recovery parameters constituted the borehole model.

Keywords : Groundwater Potential Zone, AHP, GIS, Remote Sensing, ROC Curve, AUC, Vertical Electrical Sounding, Borehole Yield, Basement Complex, Abuja.

References :

  1. Abdulbariu, I., Izge, H. J., Aminu, M. B., Osumanu, J., Ayinla, H. A., Appiah, D., & Ibrahim, I. O. (2024). Geophysical Characterization Of Basement Rock For Groundwater And Mineralization Potential Using Very Low Frequency – Electromagnetic (Vlf-Em) Techniques At Site “G” Around Ibadan Metropolis, Southwestern Basement Complex, Nigeria. Geological Behavior8(1), 13–22. https://doi.org/10.26480/gbr.01.2024.13.22
  2. Abera, B., & Gebre‐Egziabher, T. (2024). Remote sensing and GIS supported groundwater potential zone mapping for sustainable groundwater management in Fentale district, Ethiopia. In Research Squarehttps://doi.org/10.21203/rs.3.rs-4184811/v1
  3. Adegoke, J. A., Ogunseye, T. T., Tsado, G. N., Adefuwa, A. A., & Adeleke, A. A. (2025). Hydrogeophysical Investigation of Groundwater Potential in the Complex Basement of Idu Industrial Area, Federal Capital Territory, Abuja. Nigerian Journal of Physics, 34(4), 107–118. doi:https://doi.org/10.62292/10.62292/njp.v34i4.2025.353
  4. Adeniji, A., Obiora, D. N., Omonona, O. V., & Ayuba, R. (2013). Geoelectrical evaluation of groundwater potentials of Bwari basement area, Central Nigeria. International Journal of the Physical Sciences8(25), 1350–1361. https://doi.org/10.5897/ijps2013.3951
  5. Agbotui, P. Y., Ewusi, A., Seidu, J., Brookman-Amissah, M., Woode, A., & Aforla, B. (2023). Delineation of preferential flow pathways in a tropical crystalline rock aquifer in Tarkwa, Ghana using integrated hydrogeophysical methods. Hydrology Research, 54(5), 722-738.
  6. Agunleti, Y. S., & Arikawe, E. A. (2014). Groundwater targeting within the basement complex rocks of federal capital territory abuja using remotely sensed and vertical electrical sounding Data. International Journal of Technology Enhancements and Emerging Research, 2(12), 38-47.
  7. Ajadi, J., Yusuf, M. A., Omolaiye, G. E., Adam, S. B., & Alade, A. D. (2025). Evaluation of groundwater resources using remote sensing and GIS techniques within Kwara State University, Malete, Nigeria. Discover Geoscience3(1). https://doi.org/10.1007/s44288-025-00244-0
  8. Ajayi, O. G., Nwadialor, I., Odumosu, J. O., Adetunji, O. O., & Abdulwasiu, I. O. (2022). Assessment and delineation of groundwater potential zones using integrated geospatial techniques and analytic hierarchy process. Applied Water Science12(12). https://doi.org/10.1007/s13201-022-01802-4
  9. Akoachere, R. A. I., Yaya, O. O., Eyong, A. T., Ayuk, E. O., & Egbe, E. S. (2019). Hydrogeology of Abuja FCT-Nigeria: A GIS Evaluation. OALib6(8), 1–35. https://doi.org/10.4236/oalib.1105649
  10. Alao, J. O., Lawal, H. A., Abdulsalami, M., Abubakar, F., Abduwahab, O. O., Mary, E. T., & Yusuf, M. A. (2024a). Delineation of aquifer storage potential in response to regional groundwater development. Discover Water4(1). https://doi.org/10.1007/s43832-024-00084-y
  11. Alao, J. O., Lawal, H. A., Abubakar, F., & Abdulsalami, M. (2024b). Geophysical and physicochemical assessment of groundwater and the implication on the public health in rural and semi-urban areas of Northern Nigeria. Discover Environment2(1). https://doi.org/10.1007/s44274-024-00074-w
  12. Arulbalaji, P., Padmalal, D., & Sreelash, K. (2019). GIS and AHP Techniques Based Delineation of Groundwater Potential Zones: a case study from Southern Western Ghats, India. Scientific Reports9(1), 2082–2082. https://doi.org/10.1038/s41598-019-38567-x
  13. Awuh, M. E., Japhets, P. O., Officha, M. C., Okolie, A. O., & Enete, I. C. (2019). A Correlation Analysis of the Relationship between Land Use and Land Cover/Land Surface Temperature in Abuja Municipal, FCT, Nigeria. Journal of Geographic Information System11(1), 44–55. https://doi.org/10.4236/jgis.2019.111004
  14. Baghel, S., Tripathi, M. P., Khalkho, D., Al-Ansari, N., Kumar, A., & Elbeltagi, A. (2023). Delineation of suitable sites for groundwater recharge based on groundwater potential with RS, GIS, and AHP approach for Mand catchment of Mahanadi Basin. Scientific Reports13(1), 9860–9860. https://doi.org/10.1038/s41598-023-36897-5
  15. Barman, J., Zuali, F. V., Bindajam, A. A., Mallick, J., & Abdo, H. G. (2024). Detection of groundwater conditioning factors in a hilly environment. Applied Water Science,, 14(4), 88. doi:https://doi.org/10.1007/s13201-024-02139-w
  16. Bayode, S., Mogaji, K. A., & Egbeyemi, O. (2024). Modeling of geophysical derived parameters for groundwater potential zonation using GIS-based multi-criteria conceptual model. Applied Water Science14(2). https://doi.org/10.1007/s13201-023-02056-4
  17. Bennett, G. (2023). Analysis of methods used to validate remote sensing and GIS-based groundwater potential maps in the last two decades: A review. Geosystems and Geoenvironment3(1), 100245–100245. https://doi.org/10.1016/j.geogeo.2023.100245
  18. Dars, R., Ping, J., Mei, X., & Shah, S. A. (2024). Delineation of groundwater prospective zones using multivariate and spatial analysis techniques in Henan Province North China Plain. Applied Water Science14(4). https://doi.org/10.1007/s13201-024-02137-y
  19. Ebukiba, E. S., & Adamu, S. (2020). Consumers’ Choice Of Market Outlets For Fresh Leafy Vegetables Among Rural And Urban Households In Federal Capital Territory, Nigeria. Russian Journal of Agricultural and Socio-Economic Sciences104(8), 197–211. https://doi.org/10.18551/rjoas.2020-08.22
  20. Emmanuel, A., Wasiu, O. O., & Eyankware, M. O. (2024). Delineation Of Groundwater Potential Using Electrical Resistivity Imaging Techniques At Ibule Akure, Southwestern Nigeria. Malaysian Journal of Geosciences8(1), 1–9. https://doi.org/10.26480/mjg.01.2024.01.09
  21. Falebita, D., Olajuyigbe, O., Sunday, A. S., Christopher, O., & Aderoju, A. (2020). Interpretation of geophysical and GIS-based remote sensing data for sustainable groundwater resource management in the basement of north-eastern Osun State, Nigeria. SN Applied Sciences,, 2(9), 1608.
  22. Farouq, A. U., Mallam, A., & Osagie, A. U. (2025). Hydrogeological Evaluation of Abuja Municipal Area Council (AMAC) Using Vertical Electrical Sounding (VES). International Journal of Innovative Science and Research Technology (IJISRT), 2178–2178. https://doi.org/10.38124/ijisrt/25nov1302
  23. Gandhi, F. R., Songara, J., Prakash, I., & Altuwaijri, H. A. (2024). Comparative Assessment of Analytical Hierarchy Process (AHP) and Fuzzy Overlay Analysis (FOA) Models in Groundwater Potential Zone Mapping Using Sensitive Analysis: A GIS-RS Integrated Approach. In Research Squarehttps://doi.org/10.21203/rs.3.rs-4368423/v1
  24. Ibrahim, E. S., Chiroma, J. T., Abubakar, M. A., Ojih, S. A., Waziri, E. S., Daffi, R. E., & Yenne, E. Y. (2024). Spatial modelling of present and future groundwater potentials in Nigeria; towards a sustainable water demand and supply. Sustainable Water Resources Management10(4). https://doi.org/10.1007/s40899-024-01107-1
  25. Ifediegwu, S. I. (2022). Assessment of groundwater potential zones using GIS and AHP techniques: a case study of the Lafia district, Nasarawa State, Nigeria. . Applied Water Science, 12(1), 10.
  26. Ideki, O., & Weli, V. E. (2019). Analysis of Rainfall Variability Using Remote Sensing and GIS in North Central Nigeria. Atmospheric and Climate Sciences9(2), 191–201. https://doi.org/10.4236/acs.2019.92013
  27. Jhariya, D. C., Kumar, T., Gobinath, M., Diwan, P., & Kishore, N. (2016). Assessment of groundwater potential zone using remote sensing, GIS and multi criteria decision analysis techniques. Journal of the Geological Society of India88(4), 481–492. https://doi.org/10.1007/s12594-016-0511-9
  28. Jimoh, M. O., Opawale, G. T., Ejepu, J. S., Abdullahi, S., & Agbasi, O. E. (2023). Investigation of Groundwater Potential Using Geological, Hydrogeological and Geophysical Methods in Federal University of Technology, Minna, Bosso Campus, North Central, Nigeria. HydroResearch6, 255–268. https://doi.org/10.1016/j.hydres.2023.09.002
  29. Jothibasu, A., & Anbazhagan, S. (2016). Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process. Modeling Earth Systems and Environment2(3). https://doi.org/10.1007/s40808-016-0174-y
  30. Karandish, F. L. (2025). Global groundwater sustainability: A critical review of strategies and future pathways. Journal of Hydrology,, 657, 133060–133060. doi:https://doi.org/10.1016/j.jhydrol.2025.133060
  31. Kareem, H. H. (2024). Groundwater potential zone mapping of Llandrindod Wells, Wales, UK using GIS, remote sensing, and analytic hierarchy process. Journal of Water and Climate Change,, 15(11), 5606-5625.
  32. Karim, H. A., & Al-Manmi, D. A. (2019). Integrating GIS-based and geophysical techniques for groundwater potential assessment in Halabja Said Sadiq sub-basin, Kurdistan, NE Iraq. Tikrit Journal of Pure Science,, 24(6), 81-92.
  33. Mangs, A. D., Ejepu, J. S., Nkemkah, C. C., Yusuf, S. N., Sallau, A., Yakubu, J. A., Ibrahim, Y., & Wakili, W. M. (2023). Groundwater Potential Mapping in Lapan Gwari Community Using Integrated Remote Sensing and Electrical Resistivity Soundings. International Journal of Geosciences14(8), 719–732. https://doi.org/10.4236/ijg.2023.148039
  34. Musekiwa, C., Penn-Clarke, C. R., Nhleko, L. O., Charles, A., Phikiso, Z., & Dhansay, T. (2025). Assessing groundwater potential using GIS-MCDM and remote sensing techniques: A case study of Franschhoek, South Africa. Water SA51https://doi.org/10.17159/wsa/2025.v51.i4.4119
  35. 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. Environmental monitoring and assessment,, 188(1), 44.
  36. Nainggolan, L., Ni, C. F., Darmawan, Y., Lo, W. C., Lee, I. H., Lin, C. P., & Hiep, N. H. (2024). Cost-effective groundwater potential mapping by integrating multiple remote sensing data and the index–overlay method. Remote Sensing,, 16(3), 502.
  37. Naiyeju, J. O., Oladunjoye, M. A., & Adeniran, M. A. (2021). Aquifer evaluation in parts of north-central Nigeria from geo-electrical derived parameters. Applied Water Science11(11). https://doi.org/10.1007/s13201-021-01520-3
  38. Noma, T. A. J., Bakr, A. F., & Elsayad, Z. M. (2022). Methodological Approach To Incorporating Hausa Traditional Architecture In Urban Development: The Case Of Abuja, Nigeria. WIT Transactions on Ecology and the Environment1, 465–475. https://doi.org/10.2495/sc220381
  39. Obiadi, B. N., Ezezue, A. M., & Uduak, P. U. (2019). Abuja: Nigeria’s Spatial Economic Turmoil and Urban Development Disarray. Current Urban Studies7(3), 371–398. https://doi.org/10.4236/cus.2019.73019
  40. Ogundana, A. K., & Falae, P. O. (2024). Groundwater potential modelling and aquifer zonation of a typical basement complex terrain: a case study. Environment Development and Sustainability27(12), 31081–31103. https://doi.org/10.1007/s10668-024-04940-8
  41. Olorunfemi, M. O., Oni, A. G., Bamidele, O. E., Fadare, T. K., & Aniko, O. O. (2020). Combined geophysical investigations of the characteristics of a regional fault zone for groundwater development in a basement complex terrain of South-west Nigeria. SN Applied Sciences2(6). https://doi.org/10.1007/s42452-020-2363-6
  42. Omeje, M., Ejike, E. J., & Ugwuoke, P. E. (2015a). Geophysical Analysis of Basement Terrain Groundwater Using Vertical Electrical Sounding: A Case Study of Parts of Abuja North Central Nigeria.
  43. Omeje, M., Ejike, J. E., & Ugwuoke, P. E. (2015b). Geophysical Analysis of BasementTerrain Groundwater Using VerticalElectrical Sounding: A Case Study ofParts of Abuja North Central Nigeriahttp://eprints.covenantuniversity.edu.ng/10671/
  44. Osumeje, J. O., Eshimiakhe, D., Oniku, A. S., & Lawal, K. M. (2023). Application of Remote Sensing and Geophysical Methods for Delineating Groundwater Potential at North Western Nigeria. In Research Squarehttps://doi.org/10.21203/rs.3.rs-3758890/v1
  45. Pande, C. B., Moharir, K. N., Panneerselvam, B., Singh, S. K., Elbeltagi, A., Pham, Q. B., Varade, A. M., & Rajesh, J. (2021). Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF  techniques. Applied Water Science11(12). https://doi.org/10.1007/s13201-021-01522-1
  46. Pandian, R., Sıdesh, U., K, P. B., & R, L. N. (2023). Identification of groundwater potential for urban development using multi-criteria decision-making method of analytical hierarchy process. International Journal of Engineering and Geosciences8(3), 318–328. https://doi.org/10.26833/ijeg.1190998
  47. Rajesh, J., Pande, C. B., Kadam, S. A., Gorantiwar, S. D., & Shinde, M. G. (2021). Exploration of groundwater potential zones using analytical hierarchical process (AHP) approach in the Godavari river basin of Maharashtra in India. Applied Water Science11(12). https://doi.org/10.1007/s13201-021-01518-x
  48. Roy, D., Barman, S., Mandal, G., Mitra, R., Sarkar, A., Hossain, G. M. A., Roy, P., Almohamad, H., Abdo, H. G., & Mandal, D. K. (2024). Extracting of prospective groundwater potential zones using remote sensing data, GIS, and multi-criteria decision-making approach in the Sub-Himalayan Dooars region of West Bengal, India. Applied Water Science14(4). https://doi.org/10.1007/s13201-024-02124-3
  49. Saaty T. L. (1980). The analytic hierarchy process. Agric Econ Rev. 1980;70(804):10-21236.
  50. Salem, Z. E., Temamy, A. M. A., Abu‐Alam, T., Mesallam, M. A., & Fahil, A. S. (2025). Integration of geospatial technology and AHP model for assessing groundwater potentiality in Arid Regions: a case study in Wadi Araba Basin, Western Coast of Gulf of Suez, Egypt. Frontiers in Marine Science12https://doi.org/10.3389/fmars.2025.1670000
  51. Sanusi, S. O., Madaki, M. J., David, H. S., & Adole, S. O. (2021). Land Tenure Systems and Agricultural Productivity in Nigeria: a Case of Rice Production. In Research Squarehttps://doi.org/10.21203/rs.3.rs-1008949/v1
  52. Shekar, P. R., & Mathew, A. (2023). Delineation of groundwater potential zones and identification of artificial recharge sites in the Kinnerasani Watershed, India, using remote sensing-GIS, AHP, and Fuzzy-AHP techniques. AQUA - Water Infrastructure Ecosystems and Society72(8), 1474–1498. https://doi.org/10.2166/aqua.2023.052
  53. Shinde, S. P., Barai, V. N., Gavit, B. K., Kadam, S. A., Atre, A. A., Pande, C. B., Pal, S. C., Radwan, N., Tolche, A. D., & Elkhrachy, I. (2024). Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques. Environmental Sciences Europe36(1). https://doi.org/10.1186/s12302-024-00906-9
  54. Sunkari, E. D., Kore, B. M., & Abioui, M. (2021). Hydrogeophysical appraisal of groundwater potential in the fractured basement aquifer of the federal capital territory, Abuja, Nigeria. Results in Geophysical Sciences5, 100012–100012. https://doi.org/10.1016/j.ringps.2021.100012
  55. Tabassum A, Sajjad A, Sajid GH, Ahmad MIM, Khan AH. (2025). Assessing recharge zones for groundwater potential in Dera Ismail Khan (Pakistan): a GIS-based analytical hierarchy process approach. Water. 2025;17(11):1586.
  56. Taher, M., Mourabit, T., Etebaai, I., Dekkaki, H. C., Amarjouf, N., Amine, A., Bourjila, A., Errahmouni, A., & Azzouzi, S. (2023). Identification of Groundwater Potential Zones (GWPZ) Using Geospatial Techniques and AHP Method: a Case Study of the Boudinar Basin, Rif Belt (Morocco). Geomatics and Environmental Engineering17(3), 83–105. https://doi.org/10.7494/geom.2023.17.3.83
  57. Tehrany, M. S., Pradhan, B., M. S., & Ahmad, N. (2015). Flood susceptibility assessment using GIS-based support vector machine model with different kernel types. Catena, 125, 91-101.
  58. Velis, M., Conti, K. I., & Biermann, F. (2017). Groundwater and human development: synergies and trade-offs within the context of the sustainable development goals. Sustainability Science, 12(6), 1007–1017. doi:https://doi.org/10.1007/s11625-017-0490-9.
  59. Zewdie, M. M., Kasie, L. A., & Bogale, S. (2024). Groundwater potential zones delineation using GIS and AHP techniques in upper parts of Chemoga watershed, Ethiopia. Applied Water Science14(4). https://doi.org/10.1007/s13201-024-02119-0.

Groundwater remains the principal source of potable water supply in the Federal Capital Territory (FCT), Abuja, Nigeria, where rapid urbanization and increasing water demand have intensified pressure on the fractured Precambrian Basement Complex aquifer system. Reliable groundwater potential zone (GPZ) mapping is therefore essential for sustainable groundwater exploration and management. This study comparatively evaluated and validated groundwater potential models developed from Geographic Information Systems and Remote Sensing (GIS/RS), Vertical Electrical Sounding (VES), and borehole productivity records using the Analytical Hierarchy Process (AHP). Eight groundwaterconditioning factors; rainfall, geology, slope, drainage density, lineament density, land use/land cover, soil type, and Topographic Wetness Index (TWI) were integrated within a GIS environment to develop the GIS/RS model, while aquifer thickness, overburden thickness, aquifer resistivity, and depth to aquifer were used for the VES model, and discharge, drawdown, and recovery parameters constituted the borehole model.

Keywords : Groundwater Potential Zone, AHP, GIS, Remote Sensing, ROC Curve, AUC, Vertical Electrical Sounding, Borehole Yield, Basement Complex, Abuja.

Paper Submission Last Date
31 - August - 2026

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