Groundwater is among the most important resources of water supply of the worldwide population. The objective of this research is to select the most suitable drilling location of new groundwater wells, with a decision-making tool using geographic information system (GIS). The optimum location was evaluated based on the hydro-geoelectrical parameter derived from vertical electrical sounding (VES) including longitudinal conductance, aquifer thickness, aquifer resistivity, transmissivity, formation factor, and porosity. The analysis of the VES data revealed that the porosity values range from 1.8 to 21%, the formation factor values vary between 0.0355 and 0.14, the transmissivity values range from 3.4 to 6 m²/day, the longitudinal conductance values vary from 3 to 4.6 Ω⁻¹, the aquifer thickness values range from 4.1 to 8.5 m, the aquifer resistivity varies between 0.7 and 40 Ω m. Hydro-geoelectrical data were integrated into GIS to precisely determine the best location for groundwater wells. Fuzzy liner membership was used to standardize the criteria layers; then, these layers were combined using fuzzy gamma overlay to produce the suitability map. The study area was classified into four classes: excluded, low suitability, moderate suitability, and high suitability. It is recommended that this method should be adopted by different governmental agencies involved in water resources management in Nigeria.

中文翻译：

---

使用地球物理数据和模糊伽玛算子模型识别尼日利亚东南部伊莫市的潜在地下水位置

地下水是全世界人口最重要的供水资源之一。这项研究的目的是通过使用地理信息系统（GIS）的决策工具，选择新的地下水井的最合适的钻井位置。根据从垂直电测深（VES）得出的水文-地电参数（包括纵向电导率，含水层厚度，含水层电阻率，透射率，形成系数和孔隙率）评估最佳位置。对VES数据的分析表明，孔隙率值在1.8％到21％之间，地层因子值在0.0355到0.14之间，透射率值在3.4到6 m ² /天之间，纵向电导率值在3到4.6之间。 Ω ^-1，含水层厚度值范围为4.1至8.5 m，含水层电阻率在0.7至40Ωm之间变化。将水文-地电数据集成到GIS中，以精确确定地下水井的最佳位置。模糊班轮成员资格用于标准化标准层；然后，使用模糊伽玛叠加将这些图层合并以生成适合性图。研究区域分为四类：排除，低适应性，中等适应性和高适应性。建议尼日利亚参与水资源管理的不同政府机构采用这种方法。