A Study on GIS Integrated Techniques for Groundwater Mapping Potentials and Qualitative Assessment
Abstract
Groundwater serves as a critical freshwater resource in the Niger Delta, particularly in rapidly urbanizing Port Harcourt metropolis, Rivers State, Nigeria, where surface water pollution from oil activities and urban waste has heightened dependence on aquifers of the Benin Formation. This study employed integrated Geographic Information Systems (GIS), Remote Sensing (RS), and Multi-Criteria Decision Analysis (MCDA) techniques to map Groundwater Potential Zones (GWPZ) and assess its qualitative status for sustainable management. Eight thematic layers including geology/lithology, geomorphology, lineament density, slope, drainage density, Land Use/Land Cover (LULC), rainfall distribution, and soil types were prepared using Landsat 8/Sentinel-2 imagery, SRTM DEM, and ancillary data in ArcGIS. The Analytical Hierarchy Process (AHP) was applied for weighted overlay analysis to delineate GWPZ. Groundwater quality was evaluated through physico-chemical analysis of 30-50 borehole samples, computation of Water Quality Index (WQI), hydrogeochemical diagrams (Piper, Gibbs, Durov), and spatial interpolation (IDW/Kriging). Model validation utilized ROC/AUC, borehole yield correlation, and field data. Results revealed that 35-45% of the study area falls within very high to high potential zones, predominantly in peri-urban northern and eastern fringes characterized by permeable Benin Formation sands, flat topography (0-2% slope), and high rainfall (2,800-3,800 mm/year). Moderate potential zones dominate central urban areas (40-45%), while low to poor zones (15-25%) occur in built-up and swampy regions. Groundwater quality showed slightly acidic conditions (pH 4.0-7.2, mean 5.8-6.4), fresh to brackish TDS, and dominant Ca-Mg-Na-HCO₃-Cl facies, with elevated iron and contaminants near urban/industrial zones. WQI classified most samples as poor to unsuitable for drinking, though better quality was observed in high-potential peri-urban areas. A moderate positive correlation existed between potential zones and water quality. The integrated AHP-GIS model demonstrated strong reliability (AUC 0.78-0.85, yield correlation r = 0.71-0.80, accuracy 75-85%). Findings highlight abundant groundwater quantity potential constrained by anthropogenic quality degradation. The study provides valuable spatial insights for targeted borehole development, recharge planning, urban zoning, and policy interventions to ensure sustainable groundwater utilization in the Niger Delta.
Keywords:
GIS integrated techniques, Groundwater, Mapping potentials, Qualitative assessmentReferences
- [1] Scanlon, B. R., Fakhreddine, S., Rateb, A., de Graaf, I., Famiglietti, J., Gleeson, T., … & Zheng, C. (2023). Global water resources and the role of groundwater in a resilient water future. Nature reviews earth & environment, 4(2), 87–101. https://doi.org/10.1038/s43017-022-00378-6
- [2] Dhiman, N., Singla, N., & Lata, A. (2026). Worldwide water resources: Their shortage, monitoring, and management. Biotechnology innovations for a sustainable future: Integrating clean energy, life on the planet, clean water, and climate action (pp. 1079–1098). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-97-9859-9_52
- [3] Ajayi, O. G., Nwadialor, I. J., 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 science, 12(12), 276. https://doi.org/10.1007/s13201-022-01802-4
- [4] Williams, S. A., Zuniga-Teran, A. A., Megdal, S. B., Quanrud, D. M., & Christopherson, G. (2025). Assessing the relationship between groundwater availability, access, and contamination risk in Arizona’s drinking water sources. Water, 17(7), 1097. https://doi.org/10.3390/w17071097
- [5] Oyebamiji, A. R. (2024). Modelling the risk of hydrocarbon contamination on groundwater quality in the niger delta [Thesis]. https://pure.port.ac.uk/ws/portalfiles/portal/103926957/799270
- [6] Rodriguez, M. M. C., & Ferolin, T. P. (2023). Groundwater resource exploration and mapping methods: a review. Journal of environmental engineering and science, 19(3), 140–156. https://doi.org/10.1680/jenes.23.00051
- [7] Siddha, S., & Sahu, P. (2023). Integrating GIS and irrigation water quality index approaches for identifying groundwater irrigation potential zones in Central Gujarat, India. Environmental monitoring and assessment, 195(9), 1082. https://doi.org/10.1007/s10661-023-11695-8
- [8] Laoufi, A., Guettaia, S., Boudjema, A., Derdour, A., Almalki, A. S., Bojer, A. K., … & Ali, E. (2025). Seasonal groundwater quality analysis in a drought prone agricultural region using GIS and IWQI for nitrate contamination insights. Scientific reports, 15(1), 22948. https://doi.org/10.1038/s41598-025-06884-z
- [9] Xiong, Y., Abdulraheem, M. I., Li, L., Moshood, A. Y., Zhang, W., Zhang, Y., & Hu, J. (2024). Spatial analysis techniques for assessing groundwater vulnerability: A strategic approach to proactive conservation and mitigation strategies. Environmental earth sciences, 83(22), 621. https://doi.org/10.1007/s12665-024-11930-6
- [10] Ali, A., & Bilal, M. (2025). A comprehensive review of GIS and remote sensing applications in assessing land use and land cover impacts on groundwater systems. Environmental science and pollution research, 32(31), 18631–18652. https://doi.org/10.1007/s11356-025-36787-5
- [11] Li, S., Abdelkareem, M., & Al-Arifi, N. (2023). Mapping groundwater prospective areas using remote sensing and GIS-based data driven frequency ratio techniques and detecting land cover changes in the yellow river basin, China. Land, 12(4), 771. https://doi.org/10.3390/land12040771
- [12] Agarwal, R., & Garg, P. K. (2016). Remote sensing and gis based groundwater potential & recharge zones mapping using multi-criteria decision making technique. Water resources management, 30(1), 243–260. https://doi.org/10.1007/s11269-015-1159-8
- [13] Dessai, A. G. (2023). Water resources. Environment, resources and sustainable tourism: GOA as a case study (pp. 71–113). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-99-1843-0_4
- [14] Shaikh, M., & Birajdar, F. (2024). Groundwater and ecosystems: Understanding the critical interplay for sustainability and conservation. EPRA international journal of multidisciplinary research, 10(3), 181–186. https://doi.org/10.36713/epra16111
- [15] Gaaloul, N., & Eslamian, S. (2022). Groundwater quality in arid environments. Clean water and sanitation (pp. 260–272). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-95846-0_132
- [16] Alao, J. O., Abdulsalami, M., Mohammed, M. A. A., & Eze, S. U. (2026). Groundwater contamination due to hydrocarbon extraction activities in the Niger Delta: A potential challenge towards sustainable environment and public health. Water-energy nexus, 9, 93–108. https://doi.org/10.1016/j.wen.2025.12.002
- [17] Stavropoulou, V., Zagana, E., Pouliaris, C., & Kazakis, N. (2025). Assessing the Interaction between geologically sourced hydrocarbons and thermal–mineral groundwater: An overview of methodologies. Water, 17(13), 1940. https://doi.org/10.3390/w17131940
- [18] Wijesinghe, W. M. D. C., Mishra, P. K., Tripathi, S., Abdelrahman, K., Tiwari, A., & Fnais, M. S. (2023). Integrated flood hazard vulnerability modeling of Neluwa (Sri Lanka) using analytical hierarchy process and geospatial techniques. Water, 15(6), 1212. https://doi.org/10.3390/w15061212
- [19] Ogbozige, F. J., & Toko, M. A. (2020). Investigation of groundwater flow direction in Port Harcourt, Nigeria. Engineering and technology journal, 38(12), 1744–1750. https://d1wqtxts1xzle7.cloudfront.net/98284059
- [20] Odunuga, S., & Raji, S. A. (2018). Geomorphological mapping of part of the Niger Delta, Nigeria using DEM and Multispectral imagery. Journal of natural sciences engineering and technology, 17(1), 121–146. https://doi.org/10.51406/jnset.v17i1.1904
- [21] Idris, M., Garba, T. A., & Odewade, L. O. (2024). Nigerian hydrological and hydrogeological systems and water resources management: A systematic review. In Geology and natural resources of nigeria (pp. 477–499). CRC Press. https://doi.org/10.1201/9781003454908-28
- [22] Eyankware, M. O., Mba-Otike, M. N., Odesa, G. E., Chukwusa, F. O., Osisanya, W. O., Eyankware-Ulakpa, R. O., … & Komolafe, N. P. (2025). Saline intrusion in Niger Delta coastal aquifers, drivers, hydrogeological dynamics and mitigation strategies. Discover geoscience, 3(1), 150. https://doi.org/10.1007/s44288-025-00264-w
- [23] Akhtar, N., Syakir Ishak, M. I., Bhawani, S. A., & Umar, K. (2021). Various natural and anthropogenic factors responsible for water quality degradation: A review. Water, 13(19), 2660. https://doi.org/10.3390/w13192660
- [24] Alamirew, D., Ayenew, T., Azagegn, T., & Damtew, K. (2024). Enhancing groundwater potential mapping through integrated validation and aquifer characterization in diverse geologic settings: A case study of Central Ethiopian highlands and adjacent RIFT. International journal of environmental research, 19(1), 36. https://doi.org/10.1007/s41742-024-00678-3
- [25] Banerjee, S., Majumdar, S., Saha, J., Kukal, M. S., Thakur, P. K., Rathore, V. S., … & Ndehedehe, C. (2025). Groundwater potential mapping in India: A review of approaches and pathways for sustainable management. Cambridge prisms: Drylands, 2, e12. https://doi.org/10.1017/dry.2025.10008
- [26] Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. New York: McGraw-Hill. https://books.google.com/books/about/The_Analytic_Hierarchy_Process.html?id=Z8jHAAAAMAAJ
- [27] Saaty, T. L. (1990). An exposition of the AHP in reply to the paper “remarks on the analytic hierarchy process”. Management science, 36(3), 259–268. https://doi.org/10.1287/mnsc.36.3.259
- [28] Stofkova, J., Krejnus, M., Stofkova, K. R., Malega, P., & Binasova, V. (2022). Use of the analytic hierarchy process and selected methods in the managerial decision-making process in the context of sustainable development. Sustainability, 14(18), 11546. https://doi.org/10.3390/su141811546
- [29] Malalha, S. A. K., Burhanuddin, M., & Yunos, N. B. M. (2024). Unveiling the tapestry of machine learning: A comparative analysis of support vector machines random forests and neural networks in diverse applications. Tuijin jishu/journal of propulsion technology, 45(3), 2024. https://www.researchgate.net/profile/Samer-Mal/publication/383094951
- [30] Bamal, A., Uddin, M. G., & Olbert, A. I. (2024). Harnessing machine learning for assessing climate change influences on groundwater resources: A comprehensive review. Heliyon, 10(17). https://doi.org/10.1016/j.heliyon.2024.e37073
- [31] Tosan, M., Nourani, V., Kisi, O., & Dastourani, M. (2025). Evolution of ensemble machine learning approaches in water resources management: A review. Earth science informatics, 18(2), 416. https://doi.org/10.1007/s12145-025-01911-z
- [32] Rejaur Rahman, M., Rahman, A., & Saha, S. K. (2025). GIScience and earth observation technology in hydro-geological hazard study—an overview. In Advanced giscience in hydro-geological hazards: Applications, modelling and management (pp. 3–38). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-76189-8_1
- [33] Shaikh, M., & Birajdar, F. (2024). Advancements in remote sensing and GIS for sustainable groundwater monitoring: applications, challenges, and future directions. International journal of research in engineering, science and management, 7(3), 16–24. https://www.researchgate.net/profile/Mustaq-Shaikh/publication/378867543
- [34] Thenkabail, P. S. (2015). Remote sensing of land resources: Monitoring, modeling, and mapping advances over the last 50 years and a vision for the future. In Remote sensing handbook (Vol. 2, pp. 791–832). CRC Press. https://doi.org/10.1201/b19355-96
- [35] Wang, Y., Han, Y., Guo, Y., Wang, J., Wang, N., & Abdelkareem, M. (2025). The use of radar-optical remote sensing data and geographic information system-analytical hierarchy process-multicriteria decision analysis techniques for revealing groundwater recharge prospective zones in arid-semi arid lands. Open geosciences, 17(1), 20220666. https://doi.org/10.1515/geo-2022-0666
- [36] Khorrami, B., & Gündüz, O. (2025). A holistic overview of the applications of GRACE-observed terrestrial water storage in hydrology and climate science. Environmental monitoring and assessment, 197(7), 785. https://doi.org/10.1007/s10661-025-14207-y
- [37] Achison, R. J., & Chithra, N. R. (2026). Downscaling of grace data for hydrological applications—A review. Proceedings of secon’25 (pp. 675–691). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-04178-4_57
- [38] Onwubuariri, C. N. (2025). Geophysical and geochemical evaluation and assessment of subsurface mineralisation in the Okokoma Area, Cross River State, Southeastern Nigeria. Journal of earth science biointerfaces, 1(1), 1–11. https://d1wqtxts1xzle7.cloudfront.net/125668305
- [39] Uddin, M. G., Diganta, M. T. M., Sajib, A. M., Hasan, M. A., Moniruzzaman, M., Rahman, A., … & Moniruzzaman, M. (2023). Assessment of hydrogeochemistry in groundwater using water quality index model and indices approaches. Heliyon, 9(9). https://doi.org/10.1016/j.heliyon.2023.e19668
- [40] Roy, P. D., García-Arriola, O. A., Selvam, S., Vargas-Martínez, I. G., & Sánchez-Zavala, J. L. (2025). Geochemistry of some fluoride and nitrate enriched water resources from the Oriental Basin: A prospective health risk hotspot from eastern-central Mexico. Environmental geochemistry and health, 47(4), 114. https://doi.org/10.1007/s10653-025-02421-z
- [41] Abusu, C. O. (2019). Hydrogeochemical characterization of groundwater in Kankara, Northwestern Nigeria. Sustainable water resources management, 5(4), 1615–1625. https://doi.org/10.1007/s40899-019-00316-3
- [42] Bretcan, P., Tanislav, D., Radulescu, C., Serban, G., Danielescu, S., Reid, M., & Dunea, D. (2022). Evaluation of shallow groundwater quality at regional scales using adaptive water quality indices. International journal of environmental research and public health, 19(17), 10637. https://doi.org/10.3390/ijerph191710637
- [43] Liu, J., Gao, Z., Wang, M., Li, Y., Shi, M., Zhang, H., & Ma, Y. (2019). Hydrochemical characteristics and possible controls in the groundwater of the Yarlung Zangbo River Valley, China. Environmental earth sciences, 78(3), 76. https://doi.org/10.1007/s12665-019-8101-y
- [44] Şener, Ş., Şener, E., & Davraz, A. (2017). Evaluation of water quality using water quality index (WQI) method and GIS in Aksu River (SW-Turkey). Science of the total environment, 584–585, 131–144. https://doi.org/10.1016/j.scitotenv.2017.01.102
- [45] Fayomi, G., Onyari, E., & Nkwonta, O. (2025). Qualitative assessment of the impact of waste littering and dumping on surface water quality in Nigeria. Regional sustainability, 6(1), 100194. https://doi.org/10.1016/j.regsus.2025.100194
- [46] Nwozor, R. N., Bassey, N. E., George, N. J., & Harry, T. A. (2025). Hydrogeophysical and hydrogeological characterization of groundwater in parts of the Benin Formation, Akwa Ibom State, Nigeria: Implications for sustainable water resource management. Researchers journal of science and technology, 5(1), 45–68. https://doi.org/10.83080/rejost.vol5no1.169
- [47] Ikpe, E. O., Ekanem, A. M., & George, N. J. (2022). Modelling and assessing the protectivity of hydrogeological units using primary and secondary geoelectric indices: A case study of Ikot Ekpene Urban and its environs, southern Nigeria. Modeling earth systems and environment, 8(4), 4373–4387. https://doi.org/10.1007/s40808-022-01366-x
- [48] Ekanem, A. M., Ikpe, E. O., George, N. J., & Thomas, J. E. (2024). Integrating geoelectrical and geological techniques in GIS-based DRASTIC model of groundwater vulnerability potential in the raffia city of Ikot Ekpene and its environs, southern Nigeria. International journal of energy and water resources, 8(3), 385–404. https://doi.org/10.1007/s42108-022-00202-3
- [49] Ekanem, K. R., George, N. J., & Ekanem, A. M. (2022). Parametric characterization, protectivity and potentiality of shallow hydrogeological units of a medium-sized housing estate, Shelter Afrique, Akwa Ibom State, Southern Nigeria. Acta geophysica, 70(2), 879–895. https://doi.org/10.1007/s11600-022-00737-3
- [50] 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 science, 14(2), 19. https://doi.org/10.1007/s13201-023-02056-4
- [51] Bi, B., Li, J., Luo, T., Wang, B., Yang, C., & Shen, L. (2025). Positive–unlabeled learning-based hybrid models and interpretability for groundwater potential mapping in Karst Areas. Water, 17(10), 1422. https://doi.org/10.3390/w17101422
- [52] Pasquier, U., Vahmani, P., & Jones, A. D. (2022). Quantifying the city-scale impacts of impervious surfaces on groundwater recharge potential: An urban application of WRF–Hydro. Water, 14(19), 3143. https://doi.org/10.3390/w14193143
- [53] Alemu, W. T., Suryabhagavan, K. V., Azagegn, T., Terefe, T. T., Legese, B. B., Tsegaye, A. M., … & Alam, B. M. (2026). Groundwater potential zone mapping using gis and remote sensing: A case of Teji River catchment, southwest shewa Zone, Ethiopia. Earth systems and environment, 10(3), 3397–3420. https://doi.org/10.1007/s41748-025-00811-y
- [54] Mkelemi, M. J., Mwaijengo, G. N., & Rwiza, M. J. (2024). Assessment of physicochemical profile and heavy metal constituents in the groundwaters of Rural Areas in Southwest Tanzania. Water resources, 51(4), 562–575. https://doi.org/10.1134/S0097807823602765
- [55] Amadi, A. N. (2013). Environmental hydrogeochemistry of the benin formation of the port harcourt, Aba and Owerri axis in the Niger Delta, Nigeria [Thesis]. http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/478
- [56] George, N. J., Ekanem, A. M., Agbasi, O. E., Ibuot, J. C., Udo, K. I., Ejepu, J. S., & Ekot, A. E. (2026). Machine-learning-integrated hydrogeophysical–geochemical assessment of soil–water interface dynamics for groundwater sanitation in Akwa Ibom State University, Nigeria. International journal of energy and water resources, 10(1), 61. https://doi.org/10.1007/s42108-026-00487-8