There
exists a growing demand for potable water resources to fill the abysmally
insufficient water needs for domestic and industrial especially in the Basement
Complex terrains of Nigeria. This situation is attributable to its complex
hydrogeologic character. The present challenge has worsened due to the
non-incorporation of integrated methods in groundwater exploration campaigns.
To effectively combat the challenge of unacceptable failure rates in drilled
water well development, there is a need for innovative scientific principles
and quantitative assessment of groundwater resources to enhance sustainable and
proper utilisation of these resources. Hence, it is the objective of this
research to exploit the potential application of remote sensing, Geographic
Information System (GIS), and Multi-Criteria Decision Analysis (MCDA) techniques
and freely open datasets in mapping groundwater potential zones. Seven thematic
maps have been produced based on factors that are deemed to influence and
deemed to have significant control on the occurrence and movement of
groundwater. These factors are geology, lineament density, slope, drainage
density, rainfall, land-use/land cover, and soil class. Analytic Hierarchy
Process (AHP) was used to assign normalised weights to the thematic maps based
on the various relative contributions to groundwater occurrence and movement.
These thematic maps were then processed in a GIS environment using the Weighted
Overlay tool which implements the MCDA. The resulting Groundwater Potential
Zones (GPZ) of the area gave rise to Five classes viz: Very good, Good, Moderate,
Poor and Very Poor representing 19%, 8%, 14%, 47% and
13% respectively. It is recommended that the GPZ map should be used as a
reconnaissance tool for selecting prospective sites for detailed groundwater
resource exploitation.
References
[1]
Strokal, M., Bai, Z., Franssen, W., Hofstra, N., Koelmans, A.A., Ludwig, F., Ma, L., van Puijenbroek, P., Spanier, J.E., Vermeulen, L.C., van Vliet, M.T., van Wijnen, J. and Kroeze, C. (2021) Urbanization: An Increasing Source of Multiple Pollutants to Rivers in the 21st Century. Nature Partner Journals-Urban Sustainability, 1, Article No. 24. https://doi.org/10.1038/s42949-021-00026-w
[2]
Pickering, A.J. and Davis, J. (2012) Freshwater Availability and WATER Fetching Distance Affect Child Health in Sub-Saharan Africa. Environnemental Science & Technology, 46, 2391-2397. https://doi.org/10.1021/es203177v
[3]
Bhanja, S.N. and Mukherjee, A. (2021) Groundwater Sustainability and Security in South Asia. In: Mukherjee, A., Scanlon, B.R., et al., Eds., Global Groundwater, Elsevier, Amsterdam, 469-476. https://doi.org/10.1016/B978-0-12-818172-0.00034-7
[4]
Ejepu, J.S., Olasehinde, P., Okhimamhe, A.A. and Okunlola, I. (2017) Investigation of Hydrogeological Structures of Paiko Region, North-Central Nigeria Using Integrated Geophysical and Remote Sensing Techniques. Geosciences, 7, Article No. 122. https://doi.org/10.3390/geosciences7040122
[5]
Sandoval, J.A. and Tiburan, C. (2019) Identification of Potential Artificial Groundwater Recharge Sites in Mount Makiling Forest Reserve, Philippines Using GIS and Analytical Hierarchy Process. Applied Geography, 105, 73-85. https://doi.org/10.1016/j.apgeog.2019.01.010
[6]
Lancia, M., Zheng, C., He, X., Lerner, D.N., Andrews, C. and Tian, Y. (2020) Hydrogeological Constraints and Opportunities for “Sponge City” Development: Shenzhen, Southern China. Journal of Hydrology: Regional Studies, 28, Article ID: 100679. https://doi.org/10.1016/j.ejrh.2020.100679
[7]
Ejepu, J.S. (2020) Regional Assessment of Groundwater Potential Zone Using Remote Sensing, GIS and Multi Criteria Decision Analysis Techniques. Nigerian Annals of Pure and Applied Sciences, 3, 99-111. https://doi.org/10.46912/napas.201
[8]
Pourghasemi, H.R., Sadhasivam, N., Yousefi, S., Tavangar, S., Ghaffari Nazarlou, H. and Santosh, M. (2020) Using Machine Learning Algorithms to Map the Groundwater Recharge Potential Zones. Journal of Environmental Management, 265, Article ID: 110525. https://doi.org/10.1016/j.jenvman.2020.110525
[9]
Titus, R., Beekman, H., Adams, S. and Strachan, L. (2009) The Basement Aquifers of Southern Africa. Water Research Commission, Pretoria, Report No. TT, 428-09.
[10]
Chandra, S., Auken, E., Maurya, P.K., Ahmed, S. and Verma, S.K. (2019) Large Scale Mapping of Fractures and Groundwater Pathways in Crystalline Hardrock by AEM. Scientific Reports, 9, Article No. 398. https://doi.org/10.1038/s41598-018-36153-1
[11]
Abrams, W., Ghoneim, E., Shew, R., LaMaskin, T., Al-Bloushi, K., Hussein, S., et al. (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 Environments, 157, 77-96. https://doi.org/10.1016/j.jaridenv.2018.05.005
[12]
Agarwal, R. and Garg, P.K. (2016) Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision-Making Technique. Water Resources Management, 30, 243-260. https://doi.org/10.1007/s11269-015-1159-8
[13]
Altafi Dadgar, M., Nakhaei, M., Porhemmat, J., Eliasi, B. and Biswas, A. (2020) Potential Groundwater Recharge from Deep Drainage of Irrigation Water. Science of the Total Environment, 716, Article ID: 137105. https://doi.org/10.1016/j.scitotenv.2020.137105
[14]
Lee, S. and Lee, C.W. (2015) Application of Decision-Tree Model to Groundwater Productivity-Potential Mapping. Sustainability, 7, 13416-13432. https://doi.org/10.3390/su71013416
[15]
Helena, B., Pardo, R., Vega, M., Barrado, E., Fernandez, J.M. and Fernandez, L. (2000) Temporal Evolution of Groundwater Composition in an Alluvial Aquifer (Pisuerga River, Spain) by Principal Component Analysis. Water Research, 34, 807-816. https://doi.org/10.1016/S0043-1354(99)00225-0
[16]
Pourtaghi, Z.S. and Pourghasemi, H.R. (2014) GIS-Based Groundwater Spring Potential Assessment and Mapping in the Birjand Township, Southern Khorasan Province, Iran. Hydrogeology Journal, 22, 643-662. https://doi.org/10.1007/s10040-013-1089-6
[17]
Thapa, R., Gupta, S., Guin, S. and Kaur, H. (2017) Assessment of Groundwater Potential Zones Using Multi-Influencing Factor (MIF) and GIS: A Case Study from Birbhum District, West Bengal. Applied Water Science, 7, 4117-4131. https://doi.org/10.1007/s13201-017-0571-z
[18]
Machiwal, D., Jha, M.K. and Mal, B.C. (2011) Assessment of Groundwater Potential in a Semi-Arid Region of India Using Remote Sensing, GIS and MCDM Techniques. Water Resources Management, 25, 1359-1386. https://doi.org/10.1007/s11269-010-9749-y
[19]
Ishola, K., Ogunsanya, S., Adiat, K. and Abdulrahman, A. (2013) Assessing Groundwater Potential Zones in Basement Complex Terrain Using Resistivity Depth Soundings: A Case of Challenge and Oluyole in Ibadan, Southwestern. Nigeria Journal of Science, 1, 11-32.
[20]
Fashae, O.A., Tijani, M.N., Talabi, A.O. and 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
[21]
Mogaji, K.A. and San Lim, H. (2017) Application of a GIS-/Remote Sensing-Based Approach for Predicting Groundwater Potential Zones Using a Multi-Criteria Data Mining Methodology. Environmental Monitoring and Assessment, 189, Article No. 321. https://doi.org/10.1007/s10661-017-5990-7
[22]
Elbeih, S.F. (2015) An Overview of Integrated Remote Sensing and GIS for Groundwater Mapping in Egypt. Ain Shams Engineering Journal, 6, 1-15. https://doi.org/10.1016/j.asej.2014.08.008
[23]
Kumar, A. and 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 International, 33, 105-129. https://doi.org/10.1080/10106049.2016.1232314
[24]
Asije, E.I. and Igwe, O. (2014) Electrical Resistivity Investigation for Ground Water in Parts of Pegi, Federal Capital Territory, Nigeria. IOSR Journal of Applied Geology and Geophysics, 2, 27-32.
[25]
NiMet (2021) Seasonal Climate Prediction. https://www.nimet.gov.ng/seasonal-climate-prediction/
[26]
Obaje, N.G. (2009) Geology and Mineral Resources of Nigeria. Springer, Berlin. https://doi.org/10.1007/978-3-540-92685-6
[27]
Rahaman, M.A. (1988) Recent Advances in the Study of the Basement Complex of Nigeria. Precambrian Geology of Nigeria, Geological Survey of Nigeria Publications, 11-43.
[28]
Dada, S.S. (2006) Proterozoic Evolution of Nigeria. In: Oshi, O., Eds., The Basement Complex of Nigeria and its Mineral Resources: A Tribute to Prof. M.A. Rahaman, Akin Jinad and Co, Ibadan, 29-44.
[29]
Rahaman, M.A. and Lancelot, J.R. (1984) Continental Crustal Evolution in SW Nigeria: Constraints from U/Pb Dating of Pre-Pan-African Gneisses. In: Rapport d’active 1980-1984, Documents et Ttrvaux du Centre Geologigue de Montellier, Vol. 4, 41-55.
[30]
Adeleye, D.R. and Dessauvagie, T.F.J. (1972) Stratigraphy of the Niger Embayment near Bida, Nigeria. In: Dessauvagie, T.F.J. and Whiteman, A.J., Eds., African Geology, University of Ibadan Press, Ibadan, 181-186.
[31]
Adelana, S.M.A., T.A.Abiye., Nkhuwa, D.C.W., Tindinugaya C. and Oga, M.S. (2008) Urban Groundwater Management and Protection in Sub-Saharan Africa In: Adelana, S.M. and MacDonald, A.M., Eds., Applied Groundwater Studies in Africa, CRC Press, London, 222-259.
[32]
Opara, K.D., Obioha, Y.E., Onyekuru, S.O., Okereke, C. and Ibeneme, S.I. (2014) Petrology and Geochemistry of Basement Complex Rocks in Okom-Ita Area, Oban Massif, South-Eastern Nigeria. International Journal of Geosciences, 5, 394-407. https://doi.org/10.4236/ijg.2014.54038
[33]
Mccurry, P. (1976) Geology of degree Sheet 21 (Zaria). Overseas Geology and Mineral Resources No. 45, HMSO (Her Majesty’s Stationery Office), London.
[34]
Ige, O.O., Ameh, H.O. and 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
[35]
Sunkari, E.D., Kore, B.M. and Abioui, M. (2021) Hydrogeophysical Appraisal of Groundwater Potential in the Fractured Basement Aquifer of the Federal Capital Territory, Abuja, Nigeria. Results in Geophysical Sciences, 5, Article ID: 100012. https://doi.org/10.1016/j.ringps.2021.100012
[36]
Mazurek, J., Perzina, R., Strzalka, D. and Kowal, B. (2020) A New Step-by-Step (SBS) Algorithm for Inconsistency Reduction in Pairwise Comparisons. IEEE Access, 8, 135821-135828. https://doi.org/10.1109/ACCESS.2020.3011551
[37]
Chilton, J.P. and Forster, S.S.D. (1995) Hydrogeological Characterization and Water Supply Potential of Basement Aquifers in Tropical Africa. Hydrogeology Journal, 3, 36-49. https://doi.org/10.1007/s100400050061
[38]
Banks, D.Rhor-Torp, E. and Skarphargen, H. (1994) Groundwater Resources in Hard Rock: Experiences from the Hvaler Study, South-Eastern Norway. Applied Hydrogeology, 2, 33-42. https://doi.org/10.1007/s100400050040
[39]
MacDonald, A.M., Davies, J. and Carlow, R.C. and Chilton, J. (2005) Developing Groundwater: A Guide for Rural Water Supply. ITDG Publishing, Warwickshire.
[40]
Henrinksen, H. and Braathen, A. (2006) Effects of Fracture Lineaments and in-Situ Rock Stresses on Groundwater Flow in Hard Rocks: A Case Study from Sunnfjord, Western Norway. Hydrogeology Journal, 14, 444-461. https://doi.org/10.1007/s10040-005-0444-7
[41]
Gustafson, P. and Krasny, J. (1994) Crystalline Rock Aquifers: Their Occurrences, Use and Importance. Hydrogeology Journal, 2, 64-75. https://doi.org/10.1007/s100400050051
[42]
Dash, C.J., Sarangi, A., Singh, D.K. and Adhikary, P.P. (2019) Numerical Simulation to Assess Potential Groundwater Recharge and Net Groundwater Use in a Semi-Arid Region. Environmental Monitoring and Assessment, 191, Article No. 371. https://doi.org/10.1007/s10661-019-7508-y
[43]
Eduvie, M.O., Olabode, T. and Yaya, O.O. (2003) Assessment of Groundwater Potentials of Abuja and Environs. Proceedings of the 29th WEDC International Conference, Abuja, 22-26 September 2003, 130-132.
[44]
Olasehinde, P.I. (1999) An Integrated Geologic and Geophysical Exploration Technique for Groundwater in the Basement Complex of West Central Nigeria. Journal of National Association of Hydrogeologists: Water Resources, 10, 46-49.
[45]
Dan-Hassan, M.A. (2001) Determination of the Geo-Electric Sequences and Aquifer Units in Part of the Basement Complex of North-Central Nigeria. Water Resources Journal of Nigerian Association of Hydrogeologists, 12, 45-49.
[46]
China-FGN (2006) Rural Water Supply Programme under the Chinese Grant to the Federal Government of Nigeria (FGN). Unpublished Report, Abuja.
[47]
Dan-Hassan, M.A. and Yaya, O.O. (2007) Application of the Hummel (Modified Schlumberger) Method of Vertical Electrical Soundings in Groundwater Exploration in Parts of Basement Complex of Nigeria. Water Resources, 17, 77-82.
[48]
Raji, W.O. and Abdulkadir, K.A. (2020) Evaluation of Groundwater Potential of Bedrock Aquifers in Geological Sheet 223 Ilorin, Nigeria, Using Geo-Electric Sounding. Applied Water Science, 10, Article No. 220.
[49]
Osinowo, O.O. and Arowoogun, K.I. (2020) A Multi-Criteria Decision Analysis for Groundwater Potential Evaluation in Parts of Ibadan, Southwestern Nigeria. Applied Water Science, 10, Article No. 228. https://doi.org/10.1007/s13201-020-01311-2
[50]
ESRI (Environmental Systems Research Institute) (2020) ArcGIS Desktop: Release 10. Environmental Systems Research Institute, Redlands.
[51]
Goepel, K.D. (2018) Implementation of an Online Software Tool for the Analytic Hierarchy Process (AHP-OS). International Journal of the Analytic Hierarchy Process, 10, 20469-20487. https://doi.org/10.13033/ijahp.v10i3.590
[52]
Shamsi, U.M. (2008) Arc Hydro: A Framework for Integrating GIS and Hydrology. Journal of Water Management Modeling. https://doi.org/10.14796/JWMM.R228-11
[53]
PCI Geomatics (2020) Line Module. PCI Geomatics. https://www.pcigeomatics.com/geomatica-help/references/pciFunction_r/python/P_line.html#
[54]
Ettazarini, S. (2006) Groundwater Potentiality Index: A Strategically Conceived Tool for Water Research in Fractured Aquifers. Environmental Geology, 52, 477-487. https://doi.org/10.1007/s00254-006-0481-0
[55]
Food and Agriculture Organization of the United Nations (FAO) and United Nations Educational, Scientific and Cultural Organization (UNESCO) (2003) Digital Soil Map of the World and Derived Soil Properties. Food and Agriculture Organization of the United Nations, Rome.
[56]
Saaty, R.W. (1987) The Analytic Hierarchy Process—What It Is and How It Is Used. Mathematical Modelling, 9, 161-176. https://doi.org/10.1016/0270-0255(87)90473-8
[57]
Saaty, T.L. (2006) Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. RWS Publications, Pennsylvania.
[58]
Wirth, S.B., Bouffard, D. and Zopfi, J. (2020) Lacustrine Groundwater Discharge through Giant Pockmarks (Lake Neuchatel, Switzerland). Frontiers in Water, 2, Article No. 13. https://doi.org/10.3389/frwa.2020.00013
[59]
Adiat, K.A.N., Nawawi, M.N.M. and Abdullah, K. (2012) Assessing the Accuracy of GIS-Based Elementary Multi Criteria Decision Analysis as a Spatial Prediction Tool—A Case of Predicting Potential Zones of Sustainable Groundwater Resources. Journal of Hydrology, 440-441, 75-89. https://doi.org/10.1016/j.jhydrol.2012.03.028
[60]
Tolche, A.D. (2020) Groundwater Potential Mapping Using Geospatial Techniques: A Case Study of Dhungeta-Ramis Sub-Basin, Ethiopia. Geology, Ecology, and Landscapes, 5, 65-80. https://doi.org/10.1080/24749508.2020.1728882
[61]
Meijerink, A.M.J., (2007) Remote Sensing Applications to Groundwater. IHP-VI, Series on [56] Groundwater No.16. United Nations Educational, Scientific and Cultural Organization, Paris.
[62]
Bromley, J., Edmunds, W.M., Fellman, E., Brouwer, J., Gaze, S.R., Sudlow, J. and Taupin, J.D. (1997) Estimation of Rainfall Input and Direct Recharge to the deep Unsaturated Zone of Southern Niger Using the Chloride Profile Method. Journal of Hydrology, 188-189, 139-154. https://doi.org/10.1016/S0022-1694(96)03157-5
[63]
Graf, R. and Przybyłek, J. (2014) Estimation of Shallow Groundwater Recharge Using a GIS-Based Distributed Water Balance Model. Quaestiones Geographicae, 33, 27-37. https://doi.org/10.2478/quageo-2014-0027
[64]
Pande, C.B., Khadri, S.F.R., Moharir, K.N. and Patode, R.S. (2017) Assessment of Groundwater Potential Zonation of Mahesh River Basin Akola and Buldhana districts, Maharashtra, India Using Remote Sensing and GIS Techniques. Sustainable Water Resources Management, 4, 965-979. https://doi.org/10.1007/s40899-017-0193-5
[65]
Yeh, H.F., Cheng, Y.S., Lin, H.I. and Lee, C.H. (2016) Mapping Groundwater Recharge Potential Zone Using a GIS Approach in Hualian River, Taiwan. Sustainable Environment Research, 26, 33-43. https://doi.org/10.1016/j.serj.2015.09.005
[66]
Kumar, S., Machiwal, D. and Parmar, B.S. (2019) A Parsimonious Approach to Delineating Groundwater Potential Zones Using Geospatial Modelling and Multicriteria Decision Analysis Techniques under Limited Data Availability Condition. Engineering Reports, 1, Article No. e12073. https://doi.org/10.1002/eng2.12073