Multi-criteria decision analysis based on Saaty’s analytical hierarchy processing technique has been used to establish groundwater potential distribution pattern across some highly populated parts of Ibadan metropolis in southwestern Nigeria. The technique weighted and ranked seven sets of thematic hydrological parameters derived from Landsat 8 OLI satellite imagery, 143 vertical electrical sounding (VES) geophysical data, and geological and topographical data. Filtered and enhanced Landsat 8 OLI satellite imagery, quality-checked and inverted VES data, and categorized geological and other ancillary data were analyzed and used to generate lineaments, subsurface geoelectric parameters and other terrain information employed to extract thematic hydrogeological parameters used to characterize the subsurface in terms of groundwater potential. Weighted, normalized and ranked derived thematic hydrogeological parameters (lineament density, drainage density, coefficient of anisotropy, aquifer thickness, overburden thickness, aquifer resistivity and lithology) were employed to generate groundwater resource potential map. The map delineates the study area into very low (6.5%), low (41.0%), medium (38.1%), high and very high (14.4%) groundwater resource potential zones. Regions underlain by quartzite/quartz schist rocks present medium-to-high groundwater resource potential, while regions underlain by migmatite and granite gneiss rocks mostly have very low–low groundwater resource potential. This study indicates that variation in groundwater resource potential across Ibadan situated within the basement complex terrain is mostly influenced by the heterogeneity of subsurface geology which varies rapidly in terms of rock distribution and associated hydrogeological indices.

基于Saaty层次分析技术的多准则决策分析已用于在尼日利亚西南部伊巴丹都会区某些人口稠密地区建立地下水势分布模式。该技术对Landsat 8 OLI卫星图像，143个垂直电测深（VES）地球物理数据以及地质和地形数据得出的7组主题水文参数进行了加权和排序。对经过过滤和增强的Landsat 8 OLI卫星图像，经过质量检查和反演的VES数据以及经过分类的地质和其他辅助数据进行了分析，并用于生成线段，地下地电参数和其他地形信息，以提取用于表征地下特征的专题水文地质参数就地下水潜力而言。加权 利用归一化和排序得出的主题水文地质参数（地层密度，排水密度，各向异性系数，含水层厚度，覆盖层厚度，含水层电阻率和岩性）生成地下水资源潜力图。地图将研究区域划分为极低（6.5％），低（41.0％），中（38.1％），高和极高（14.4％）的地下水资源潜力区。石英岩/石英片岩下方的地区具有中等至较高的地下水资源潜力，而蒙脱石和花岗岩片麻岩下方的地区则大多具有非常低至较低的地下水资源潜力。