Assessment of groundwater accumulation potential in parts of Birnin Gwari, Northwestern Nigeria using geospatial methods

Front Cover-1
Author : Olaleye Ifeoluwa M.*, Ige Olusegun O., Oyinloye Oluwashina L.
Publication : Warta Geologi
Page : 170 - 183
Volume Number : 51
Year : 2025
DOI : https://doi.org/10.7186/wg513202502

Warta Geologi, Vol. 51, No. 3, December 2025, pp. 170-183

Assessment of groundwater accumulation potential in parts of Birnin Gwari, Northwestern Nigeria using geospatial methods

Olaleye Ifeoluwa M.1,*, Ige Olusegun O.1,2, Oyinloye Oluwashina L.1

1 Department of Geology and Mineral Sciences, University of Ilorin, P.M.B.1515, Ilorin, Kwara State, Nigeria
2 Nigerian Geological Survey Agency, 31 Shetima Ali Mungono Cres, Utako, Abuja 900108, Nigeria

*Corresponding author email address: olaleye.im@unilorin.edu.ng

Abstract: The aim of this research is to identify groundwater potential zones in specific parts of Birnin Gwari utilizing geospatial (Remote Sensing and Geographic Information Systems) data in order to help alleviate the water scarcity problem of the area. Seven (7) parameters were considered: geology, drainage, lineament, rainfall, land use/land cover, slope, and soil. Thematic maps of these characteristics were created, and weightages were assigned based on pairwise comparisons of the elements that appear to be crucial in groundwater potential for this study. Rainfall and lineament density were identified as the most significant contributors, accounting for 36.0% and 16.4% respectively. Five Groundwater Potential Zones (GWPZ) were found as very low, low, medium, high, and very high, corresponding to 0.22%, 23.10%, 60.75%, 15.83%, and 0.10% respectively. The consistency ratio was calculated to be 0.06 which is below the acceptable threshold of <0.1. According to the findings of the study, the south and south-western parts of the study region have very high to average groundwater potential, whereas the north and north-eastern parts have low to very low groundwater potential. The centre region is characterized by average groundwater potential. To validate the accuracy of the delineated groundwater potential zones, Vertical Electrical Sounding (VES) from 30 locations across the study area were used to generate curves type, and the transmissivity of the aquifer was calculated. Based on the transmissivity ratings, 83.3% of the VES points show good accumulation potential while 16.7% show intermediate accumulation potential. The overall result indicated that the remote sensing and GIS techniques provide a reasonable framework for groundwater exploration. It is recommended that surface water development should be carried out in places with limited potential.

Keywords: Drainage, geology, groundwater, potential, remote sensing

References:

Achu, A.L., Thomas, J. & Reghunath, R., 2020. Multi-criteria decision analysis for delineation of groundwater potential zones in a tropical river basin using remote sensing, GIS and Analytical Hierarchy Process (AHP). Groundwater for Sustainable Development, 10(12), 100365. https://doi. org/10.1016/j.gsd.2020.100365.

Akinlolu, A.A., Olorunfemi, M.O., & Ojo, J.S., 2020. Integration of remote sensing and GIS techniques for groundwater potential mapping in a basement complex terrain, southwestern Nigeria. Environmental Earth Sciences, 79(4), 1–15.

Al-Garni, M.A., 2009. Geophysical investigations for groundwater in a complex subsurface terrain Wadi Fatima, KSA: A case study. Jordan J. Civ. Eng., 3(2),118–136.

Alimi, S.A., Ige, O.O. & Okeke, J.C., 2022. Assessing groundwater potentials of Kaduna state, Northwestern Nigeria, using Geographic Information System (GIS) and Remote Sensing (RS) techniques. Arabian Journal of Geosciences, 15, 1741. https://doi.org/10.1007/s12517-022-11039-9.

Allafta, H., Opp, C. & Patra, S., 2021. Identification of groundwater potential zones using remote sensing and GIS techniques: A case study of the Shatt Al-Arab Basin. Remote Sensing, 13(1), 112. https://doi.org/10.3390/rs13010112.

Andualem, T.G. & Demeke, G.G., 2019. Groundwater potential assessment using GIS and remote sensing: A case study of Gunatana landscape, upper Blue Nile Basin. Ethiopia J. Hydrol.: Reg. Stud., 24, 100610. https://doi.org/10.1016/j.ejrh.2019.100610.

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. Sci. Total Environ., 658, 160–177. https://doi. org/10.1016/j.scitotenv.2018.12.115.

Badamasi, S., Sawa, B.A. & Garba, M L., 2016. Groundwater potential zones mapping using remote sensing and Geographic Information System Techniques (GIS) in Zaria, Kaduna State, Nigeria. American Scientific Research Journal for Engineering, Technology, and Sciences, 24(1), 51-62.

Clarance, P.K., Tilaye, W.B., Tenalem, A. & Ibrahim, C.M., 2022. Geospatial application on mapping groundwater recharge zones in Makutupora basin, Tanzania. Heliyon, 8(10), e10760. https://doi.org/10.1016/j.heliyon.2022.e10760.

Dar, I.A., Sankar, K. & Dar, M.A., 2010. Remote sensing technology and geographic information system modeling: An integrated approach towards the mapping of potential groundwater recharge zones in hard rock terrain, Mamundiyar basin. J. Hydrol., 394, 285–295. https://doi.org/10.1016/j. jhydrol.2010.08.022.

Das, S. & Pardeshi, S.D., 2018a. Morphometric analysis of Vaitarna and Ulhas river basins, Maharashtra, India: Using geospatial techniques. Appl. Water Sci., 8(6), 158. https://doi.org/10.1007/s13201-018-0801-z.

Das, S. & Pardeshi, S.D., 2018c. Comparative analysis of lineaments extracted from Cartosat, SRTM and ASTER DEM: A study based on four watersheds in Konkan region, India. Spatial Information Research, 26(1), 47-57. https://doi.org/10.1007/s41324-017-0155-x.

Deshmukh, K.K. & Aher, S.P., 2016. Assessment of the impact of municipal solid waste on groundwater quality near the Sangamner City using GIS Approach. Water Resource Manage, 30(7), 2425–2443. https://doi.org/10.1007/s11269- 016-1299-5.

Doke, A.B., Zolekar, R.B., Patel, H. & Das, S., 2021. Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India. Ecological Indicators, 127(2021), 107685. https://doi.org/10.1016/j.ecolind.2021.107685.

Ebenezer, O.K. & Eduvie, M.O., 2017. Geoelectric evaluation of the variation in the spatial distribution of aquifers in the Basement Complex – A case study of Laduga Community, Kaduna State, Northcentral Nigeria. IOSR Journal of Applied Geology and Geophysics, 5(4), 35-44. https://doi. org/10.9790/0990-0504013544.

Ghazavi, R. & Ebrahimi, Z., 2015. Assessing groundwater vulnerability to contamination in an arid environment using DRASTIC and GOD models. International Journal of Environmental Science and Technology, 12(9), 2909-2918. https://doi.org/10.1007/s13762-015-0813-2.

Heigold, P.C., Gilkeson, R.H., Cartwright, K. & Reed, P.C., 1979. Aquifer transmissivity from surficial electrical methods. Ground Water, 17(4), 338-345. https://doi.org/10.1111/j.1745-6584.1979.tb03326.x.

Idris-Nda, A., Abubakar, S.I., Waziri, S.H., Dadi, M.I. & Jimada, A.M., 2015. Groundwater development in a mixed geological terrain: A case study of Niger State, Central Nigeria. In: C.A. Brebbia (Ed.), Water Resources Management VIII, Transactions on Ecology and the Environment. WIT Press, Uk. 582 p. https://doi.org/10.2495/WRM150071.

Ige, O.O., Ameh, H.O. & Olaleye, I.M., 2021. Borehole inventory, groundwater potential and water quality studies in Ayede Ekiti, Southwestern Nigeria. Discover Water, 1, article no. 2. https://doi.org/10.1007/s43832-020-00001-z.

Langgeng, W.S. & Tjahyo, N.A., 2007. The investigation of groundwater potential by Vertical Electrical Sounding (VES) approach in Arguni Bay Region, Kaimana Regency, West Papua. Forum Geografi, 21(1), 43-56. https://doi.org/10.23917/forgeo.v21i1.1820.

Lentswe, G.B. & Molwalefhe, L., 2020. Delineation of potential groundwater recharge zones using analytic hierarchy process guided GIS in the semi-arid Motloutse watershed, eastern Botswana. Journal of Hydrology: Regional Studies, 28, 100674. https://doi.org/10.1016/j.ejrh.2020.100674.

Maity, D.K. & Mandal, S., 2019. Identification of groundwater potential zones of the Kumari river basin, India: An RS & GIS based semi-quantitative approach. Environ. Dev. Sustain., 21, 1013-1034. https://doi.org/10.1007/s10668- 017-0072-0.

Mallick, J., Khan, R.A., Ahmed, M., Alqadhi, S., Alsubih, M., Falqi, I.I. & Hasan, M.A., 2019. Modeling groundwater potential zone in a semi-arid region of Aseer using Fuzzy- AHP and geoinformation techniques. Water, 11(12), 2656. https://doi.org/https://doi.org/10.3390/w11122656.

Maniar, H.H., Bhatt, N.J., Prakash, I. & Mahmood, K., 2017. Application of Analytical Hierarchy Process (AHP) and GIS in the evaluation of groundwater recharge potential of Rajkot District, Gujarat, India. Int. J. Tech. Innov. Mod. Eng. Sci., 5(4), 1078–1088.

McCurry, P., 1976. The Geology of the Precambrian to Lower Paleozoic rocks of Northern Nigerian, A Review. In: C. A., Kogbe (Ed.), Geology of Nigeria. Elizabethan Publishing Co., Lagos. 436 p.

Melese, T. & Belay, T., 2021. Groundwater potential zone mapping using Analytical Hierarchy Process and GIS in Muga Watershed, Abay Basin, Ethiopia. Global Challenges, 6(1), 2100068. https://doi.org/10.1002/gch2.202100068. PMID: 35024167; PMCID: PMC8727729.

Melloul, A.J. & Collin, M.L., 2001. A hierarchy of groundwater management, land-use, and social needs integrated for sustainable resource development. Environ. Dev. Sustain., 3, 45–59. https://doi.org/10.1023/A:1011420206575.

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 Sustainable Dev., 9, 100239. https://doi.org/10.1016/j.gsd.2019.100239.

Musa, G.A., Mohd, E.T. & Mohd, B.G., 2014. The application of Vertical Electrical Sounding (VES) for groundwater exploration in Tudun Wada Kano State, Nigeria. International Journal of Engineering and Research Reviews, 2(4), 51-55. https://doi.org/10.4172/2329-6755.1000186.

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, 513, 283–300. https://doi.org/10.1016/j.jhydrol.2014.02.053.

Obaje, N.G., 2009. Geology and mineral resources of Nigeria, Lecture Notes in Earth Sciences Series. Springer Berlin, Heidelberg. 221 p. https://doi.org/10.1007/978-3-540- 92685-6.

Obot, N.I., George, N.J., & Akpan, A.E., 2017. Delineation of groundwater potential zones in crystalline basement terrain using remote sensing and GIS techniques: A case study of Ikot Ekpene area, Southeastern Nigeria. Modeling Earth Systems and Environment, 3(1), 1–12.

Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., VanderPlas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M. & Duchesnay, E., 2011. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 12, 2825–2830.

Rahaman, M.A., 1976. Review of the basement of south-western Nigeria. In: C.A., Kogbe (Ed.), Geology of Nigeria. Elizabethan Publishing Co., Lagos. 436 p.

Saaty, T.L. & Vargas, L.G., 1991. Prediction, projection and forecasting: Application of the Analytic Hierarchy Process in economics, finance, politics, games and sports. Springer, Dordrecht. 254 p.

Saaty, T.L., 1980. The Analytic Hierarchy Process: Planning, prority setting, resource allocation. McGraw-Hill, New York. 287 p.

Saraf, A.K. & Choudhury, P.R., 1998. Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. International Journal of Remote Sensing, 19(10), 1825–1841. https://doi.org/10.1080/014311698215018.

Şener, E., Şener, Ş. & Davraz, A., 2018. Groundwater potential mapping by combining fuzzy-analytic hierarchy process and GIS in Beyşehir Lake Basin, Turkey. Arabian Journal of Geosciences, 11, 187. https://doi.org/10.1007/s12517- 018-3510-x.

Singh, P., Thakur, J.K. & Kumar, S., 2013. Delineating groundwater potential zones in a hard-rock terrain using geospatial tool. Hydrol. Sci. J., 58(1), 213–223. https://doi. org/10.1080/02626667.2012.745644.

Siraj, B., Awdenegest, M. & Mihret, D., 2024. Assessing groundwater potential zones and their implications for landslides in the Upper Wabe-Shebele River Basin of Southeastern Ethiopia. Journal of Engineering, 2024, Article 7044576. https://doi.org/10.1155/2024/7044576.

Tariku, T., Abraham, M. & Berihu, A.B., 2025. Assessing groundwater potential in the Ziway Lake Watershed using Geographical Information System, Analytic Hierarchy Process, and Drinking Water Quality Index. Global Challenges, 9(6), 2400354. https://doi.org/10.1002/ gch2.202400354.

Todd, D.K., 1980. Groundwater Hydrology. 2nd Edition. John Wiley, New York. 535 p.

Verma, N. & Patel, R.K., 2021. Delineation of groundwater potential zones in lower Rihand River Basin, India using geospatial techniques and AHP. The Egyptian Journal of Remote Sensing and Space Sciences, 24(3), 559-570. https:// doi.org/10.1016/j.ejrs. 2021.05.002.

Yıldırım, Ü., 2021. Identification of groundwater potential zones using GIS and Multi-Criteria Decision-Making techniques: A case study Upper Coruh River Basin (NE Turkey). ISPRS International Journal of Geo-Information, 10(6), 396. https://doi.org/10.3390/ijgi10060396.

Manuscript received 15 May 2025;
Received in revised form 23 July 2025;
Accepted 2 September 2025
Available online 30 December 2025

DOI: https://doi.org/10.7186/wg513202502

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