IIARD International Institute of Academic Research and Development

IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT (IJGEM )

E-ISSN 2504-8821
P-ISSN 2695-1878
VOL. 10 NO. 12 2024
DOI: 10.56201/ijgem.v10.no12.2024.pg33.57

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Identification of Groundwater Potential Zones in Hard Rock Terrain of Osun State, Nigeria: Insights from Knowledge-Based (AHP) and Data-Driven (FR) Models

Joshua Oluwasanmi Owoseni

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Abstract

The uncertainties associated with groundwater prospecting in the hard rock terrains can be daunting due to erratic nature of aquifers. However, the exploration time and cost can be reduced drastically by narrowing down search areas for geophysical exploration through implementation of a preliminary GIS-based groundwater productivity mapping. This is the focus of the current study across the hard rock terrain of Osun State, Nigeria, with a view to providing a groundwater potential map for land use planning and groundwater resource development. Knowledge-based (AHP) and data-driven (FR) techniques were adopted for allocating weightages to ten applicable groundwater conditioning factors which form the thematic layers. The themes are lithology, rainfall, soil, slope, lineament density, land use, altitude, topographic wetness index, drainage density, and drainage proximity. The weighted linear combination approach was used to aggregate the themes by an overlay analysis in GIS environment. The receiver operating system (ROC) curve was used to validate the groundwater potential maps produced, using borehole yield data. The AHP model results show the order of influence of the conditioning factors as, lithology (37.4%), rainfall (11%), altitude (9.8%), soil (9.6%), lineament density (9.0%), land use (6.4%), drainage density (6.4%), and proximity to drainage (4.7%), slope (3.9%), and topographic wetness index (1.9%). The area under curve (AUC) values of 0.731 and 0.717 were obtained and they translate to prediction accuracies of 73.1% and 71.7% for AHP and FR models respectively. The groundwater potential maps can aid sustainable groundwater resources development in the study area.

keywords:

Analytic hierarchy process, Remote sensing, Frequency ratio, Water security, GIS,

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References:

Abdulazeez, A., & Naisa, A. G. (2018). An Appraisal of Factors Affecting Groundwater Formation and
Recharge in Parts of Northern Kano State, Nigeria.
Abijith, D., Saravanan, S., Singh, L., Jennifer, J. J., Saranya, T., & Parthasarathy, K. S. S. (2020). GIS-
based multicriteria analysis for identification of potential groundwater recharge zones – a case
study from Ponnaniyaru watershed, Tamil Nadu, India. HydroResearch, 3, 1 – 14.
Abrams, W., Ghoneim, E., Shew, R., LaMaskin, T., Al-Bloushi, K., Hussein, S., AbuBakr, M., Al-Mulla,
E., Al-Awar, M., & El-Baz, F. (2018). Delineation of groundwater potential (GWP) in the northern
United Arab Emirates and Oman using geospatial technologies in conjunction with simple
additive weight (SAW), analytical hierarchy process (AHP), and probabilistic frequency ratio
(PFR)
techniques.
Journal
of
Arid
Environment.
157,
77–96.
https://doi.org/10.1016/j.jaridenv.2018.05.005
Adekoya, J. A., Kehinde-Philips, O. O., & Odukoya, A. M. (2003). Geological distribution of mineral
resources in southwestern Nigeria. In: A. A. Elueze (ed). Prospects for investment in mineral
resources of southwestern Nigeria, pp. 1 – 13.
Adiat, K. A. N., Nawawi, M. N. N., & Abdullah, K. (2013) Application of multicriteria decision analysis
to geoelectric and geologic parameters for spatial prediction of groundwater resources potential
and aquifer evaluation. Pure Applied Geophysics 170:453–471
Afshar, A., Abedi, M., Norouzi, G.-H., & Riahi, M.-A. (2015). Geophysical investigation of
underground water content zones using electrical resistivity tomography and ground penetrating
radar: A case study in Hesarak-Karaj, Iran. Engineering Geology, 196, 183–193.
doi:10.1016/J.ENGGEO.2015.07.022.
Akinluyi, F. O. (2013). Integration of Remotely Sensed and Geophysical Data in Groundwater Potential
Evaluation of the Basement Complex Terrain of Ondo State, Southwestern Nigeria. An
Unpublished Ph.D Thesis, Dept. of Geology, OAU, Ile-Ife, Nigeria.
Akinwumiju, A. S., & Olorunfemi, M. O. (2016). Shallow aquifer characteristics, borehole yield and
Groundwater resource sustainability assessment in the Osun Drainage basin, southwestern
Nigeria. Ife Journal of Science. 18(2), 305-314.
Al-Abadi, A. M. (2015). Groundwater potential mapping at north-eastern Wasit and Missan
governorates, Iraq using a data-driven weights of evidence technique in framework of GIS.
Environmental Earth Science. https://doi.org/10.1007/s12665-015-4097-0
Al-Djazouli, M. O., Elmorabiti, K., Rahimi, A., Amellah, O., & Fadil, O. A. M. (2020). Delineating of
groundwater potential zones based on remote sensing, GIS and analytical hierarchical process: a
case of Waddai, eastern Chad. GeoJournal. 5, 1-14. https://doi.org/10.1007/s10708-020-10160-0
Al-Djazouli, M. O., Elmorabiti, K., Zoheir, B., et al. (2019). Use of Landsat-8 OLI data for delineating
fracture systems in subsoil regions: Implications for groundwater prospection in the Waddai area,
eastern Chad. Arabian Journal of Geosciences, 12(7), 241. https://doi:10.1007/s12517-019-4354-
8
Aluko, O. E., & Igwe, O. (2017). An integrated geomatics approach to groundwater potential
delineation in the Akoko-Edo Area, Nigeria. Environmental Earth Science 76:240.
https://doi.10.1007/s12665-017-6557-1
Andualem, T. G.., and Demeke, G. G. (2019). Groundwater potential assessment using GIS and remote
sensing: A case study of Guna tana landscape, upper blue Nile Basin, Ethiopia. Journal of
Hydrology: Regional Studies. 24, https://doi.org/10.1016/j.ejrh.2019.100610
Arshad, A., Zhang, Z., Zhang, W., & Dilawar, A. (2020). Mapping favourable groundwater potential
recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio
model: A case study from an agro-urban region of Pakistan. Geoscience Frontiers.
https://doi.org/10.1016/j.gsf.2019.12.013
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 Reports.
9 (1), 1–17.
Cervi, F., Berti, M., Borgatti, L., Ronchetti, F., Manenti, F., & Corsini, A. (2010). Comparing predictive
capability of statistical and deterministic methods for landslide susceptibility mapping: A case
study in the northern Apennines (Reggio Emilia Province, Italy). Landslide, 7(4), 433–444.
Chowdhury, A., Jha, M. K., Chowdary, V. M., & Mal, B. C. (2009). Integrated remote sensing and GIS-
based approach for assessing groundwater potential in West Medinipur district, West Bengal,
India.
International
Journal
of
Remote
Sensing,
30(1),
231–250.
https://doi:10.1080/01431160802270131
Davoodi Moghaddam D, Rezaei M, Pourghasemi HR, Pourtaghie ZS, Pradhan B (2013) Groundwater
spring potential mapping using bivariate statistical model and GIS in the taleghan watershed Iran.
Arab Journal of Geoscience https://doi:10.1007/s12517-013-1161-5
Day-Lewis, F. D., Slater, L. D., Robinson, J., et al. (2017). An overview of geophysical technologies
appropriate for characterization and monitoring at fractured-rock sites. Journal of Environmental
Management, 204, 709–720. doi:10.1016/J.JENVMAN.2017.04.033.
D?´az-Alcaide, S., Mart?´nez-Santos, P. (2019). Review: Advances in groundwater potential mapping.
Hydrogeology Journal, 27(7), 2307–2324.
Earman, S. & Dettinger, M. (2011). Potential impacts of climate change on groundwater resources – a
global
review.
Journal
of
water
and
climate
change,
2(4),
213-229.
https://doi.org/10.2166/wcc.2011.034
Elueze, A. A. 2002. Compositional character: Veritable tool in the appraisal of Geomaterials. An
inaugural lecture, University of Ibadan. 43pp
Fashae, O. A., Tijani, M. N., Talabi, A. O., & Adedeji, O. I. (2014). Delineation of groundwater potential
zones in the crystalline basement terrain of SW-Nigeria: an integrated GIS and remote sensing
approach. Applied Water Science. 4, 19–38. https://doi.org/10.1007/s13201-013-0127-9
Foster, S.S.D., Lawrence, A.R and Morris, B.M. (1998). Groundwater in urban development. World
Bank Technical Paper, no 390, Washington DC, USA.
Hamdani, N. & Baali, A (2020). Characterization of groundwater potential zones using analytic
hierarchy process and integrated geomatic techniques in Central Middle Atlas (Morocco). Applied
Geomatics. https://doi.org/10.1007/s12518-020-00300-z
Hughes, A., Mansour, M., Ward, R., Kieboom, N., Allen, S., Seccombe, M., & Charlton, C. P. (2021).
The impact of climate change on groundwater recharge: National-scale assessment for the British
mainland. Journal of Hydrology. 598, 1-14, https://doi.org/10.1016/j.jhydrol.2021.126336
Jaafari A, Najafi A, Pourghasemi HR, Rezaeian J, Sattarian A (2014) GIS-based frequency ratio and
index of entropy models for landslide susceptibility assessment in the Caspian Forest, northern
Iran. International Journal of Environmental Science & Technology. https://doi:10.1007/s13762-
013-0464-0
Kaliraj S, Chandrasekar N, Magesh NS (2014) Identification of potential groundwater recharge zones
in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP)
technique. Arabian Journal of Geoscience, 7(4):1385–1401
Kumar, A., Krishna, A.P., 2018. Assessment of groundwater potential zones in coal mining impacted
hard-rock terrain of India by integrating geospatial and analytic hierarchy process (AHP)
approach. Geocarto Int. 33, 105–129. https://doi:10.1080/10106049.2016.1232314
Lee, S., & Pradhan, B. (2006). Probabilistic landslide hazards and risk mapping on Penang Island,
Malaysia. Journal of Earth System Science 115(6):661–667.
Malczewski, J., 1999. GIS And Multicriteria Decision Analysis. John Wiley and Sons.
Mogaji, K.A., Lim, H.S., & Abdullah, K. (2015). Modelling of groundwater recharge using a multiple
linea

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