Integrating in-situ data and spatial decision support systems (SDSS) to identify groundwater potential sites in the Esan plateau, Nigeria

• Published in: Groundwater for sustainable development Vol. 26; p. 101276
• Main Authors: Ozegin, Kesyton Oyamenda, Ilugbo, Stephen Olubusola, Alile, Owens Monday, Iluore, Kenneth
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2024
• Subjects: Clayey materials; Consistency checking procedure; drainage; geographical distribution; geomorphology; governance; groundwater; groundwater recharge; hydraulic conductivity; land cover; land use; Multicollinearity; Nigeria; prediction; rain; ROC curve; Sensitivity analysis; Spatial decision support systems; surface water; sustainable development; Nigeria; Spatial decision support systems; Clayey materials; Sensitivity analysis; ROC curve; Consistency checking procedure; Multicollinearity
• ISSN: 2352-801X; 2352-801X
• DOI: 10.1016/j.gsd.2024.101276

Establishing suitable groundwater resource areas is a challenging endeavour across the globe. However, novel spatial technologies have emerged as valuable tools for the effective strategy, management, and assessment of groundwater resources, especially in data-scarce emerging economies. The current study used spatial decision support systems (SDSS) for evaluating and defining groundwater potential sites (GPSs) in Nigeria's Edo central region to promote sustainable governance of groundwater. By merging multiple groundwater contributing theme layers, a leading-edge information-based multiparametric analytical hierarchy process (AHP) was applied to define the groundwater prospective areas. By systematically assigning weights to every subject-specific layer and feature, the subject matter layers of geology, geomorphology, drainage density, slope, soil properties, landuse/landcover, rainfall distribution, hydraulic conductivity, transmissivity, curvature, proximity to surface water bodies, and elevation were generated and used for groundwater potential map generation. Each thematic layer's weights were allocated and adjusted depending on their qualities and relevance to groundwater recharge. The multicollinearity (MC) analysis was used to evaluate the model's predictive capacity. Finally, groundwater potential sites were created by integrating the theme-specific maps with the weighted total overlay computation tool. The study area contained three separate groundwater potential sites: low, moderate, and high. According to the regional geographic distribution, the largest portion of the area (65%) fell within the moderately significant groundwater potential geographical area. The high and low GPSs, which both have a low curvature and a valley plain characteristic, account for 25% and 10%, respectively, of the entire area. The outcomes were contrasted with the yield of groundwater from boreholes gathered in the study region. The validation analysis found an acceptable 88.89% similarity. This highlights the potential for the groundwater map's significant prediction. Therefore, the applied approach is a viable choice for the advancement of groundwater in the central Edo region and with comparable geology all over the globe. [Display omitted] •Developed sites with substantial prospective for groundwater using SDSS and borehole data.•MCDA-assisted geospatial approaches make it easier to establish the relationship between conditioning factors.•The results can be used to develop guidelines for recharging activities in the affected area.•Rainfall plays a major role in controlling groundwater levels, notwithstanding other considerations.•The procedures presented in this paper can be applied everywhere that data is available.