Analytical Hierarchical Process (AHP) Techniques and Geospatial Technologies for Groundwater Potential Zone Mapping
O. J. Aigbokhan, N. E. Essien, C. S. Ofordu, A. R. Falana, E. D. Adedoyin
Journal of Scientific Research and Reports · pp. 30–49 · Published 29 Oct 2022
10.9734/jsrr/2022/v28i111701Abstract
Due to its consistent availability, acceptable natural quality, and ease of direct diversion to the underprivileged population, groundwater is a vital source of water supply. It can also be transported there more swiftly and inexpensively. Exploring groundwater potential zones (GWPZs) maps is therefore essential, especially in semi-arid environments with insufficient surface water supplies. The groundwater potential of the research area is assessed using geographic information system methods and remote sensing data. Operational Land Imager 8 data, digital elevation models, soil data, rainfall data, and dug-out-well data were utilized to estimate the characteristics that influence groundwater potential and recharge zones. Maps of lineament density, drainage density, rainfall distribution, topographic-wetness index, land use/land cover, land-surface temperature, slope and soil were produced. These were overlaid based on analytical hierarchical process weightage prioritization at a constituency ratio of 0.05. The resulting map was divided into very high, high, moderate, low and very low groundwater potential zones. The area dimensions of these categories are 116005.5 ha, 35822.4 ha, 20152 ha, 2459 ha and 259245 respectively. Accordingly, the north-east part of the study area is expected to have very high ground‐water potential. Out of the 55 operational wells sampled, 72.73 % were situated in areas with very high groundwater potential. The high category had 10.91% while the moderate, low and very low categories remained 7.27%, 5.45% and 3.64% respectively. The overall result indicates that the model approach is reliable and can be adopted for a reliable characterization of GWPZs in any semi-arid/ arid environment.
Cited by 4
Geteneh Moges Assefa, Frehiwot Derbe Abay, Genetu Addisu Kebede · Water · 2025
Kritagya Kumar Singh Tomar, Pandurang Choudhari, Aqil Tariq · Environmental and Sustainability Indicators · 2026
Eyosias Birhanu Alemu, Abebaw Belayneh Zelalem · Water Cycle · 2026
Asma Bettahar, Imed Eddine Nezli, Şehnaz Şener · Environmental Earth Sciences · 2025
Related research
- Spatial and Temporal Trend of Water Resources in Beijing, China during 1999-2012 and Its Impact Analysis — shares topic coverage
- Using GIS to Assess the Contribution of Farming Activities towards Climate Change in the State of Mississippi — shares topic coverage
- Mosquito Larval Species and Geographical Information System (GIS) Mapping of Environmental Vulnerable Areas, Dakhla Oasis, Egypt — shares topic coverage
- GIS-Based Climate Change Induced Flood Risk Mapping in Uhunmwonde Local Government Area, Edo State, Nigeria — shares topic coverage
- Flood Vulnerability Assessment of Settlements in the Niger-benue Trough, Central Nigeria — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
4
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.