Abstract Access to the water supply in Ethiopia is among the lowest in the entire world. In some regions of Ethiopia, people make three to five round trips to fetch dirty water from the river per day. Each round trip takes two to 3 h and water is carried in ‘50-pound jerrycans', according to an article by Tina Rosenberg for National Geographic. Therefore, delineation of groundwater potential in Ethiopia is a need of the hour. The objective of this study is to develop a spatial model using a fuzzy logic approach in the geographic information system (GIS) domain to demarcate the groundwater potential zones (GPZ). Ten thematic layers, such as geology, slope gradient, drainage density, distance to faults, profile curvature, plan curvature, wetness index, soil texture, soil type, and land use, were prepared, analysed and studied for GPZ delineation. The study reveals that about 43.78% of the Jemma River basin represents GPZ categorised as ‘excellent’. ‘Very poor’, ‘poor’, ‘moderate’ and ‘good’ GPZ are observed in 22.67, 6.02, 19.88 and 7.66% of the basin, respectively. This study proves the efficacy of the fuzzy logic approach coupled with GIS as an effective model for demarcation of GPZ and can be applied at a continental scale.

中文翻译：

---

基于GIS和模糊逻辑技术的地下水潜在区划界：以埃塞俄比亚杰马河流域为例

摘要 埃塞俄比亚的供水是全世界最低的。在埃塞俄比亚的一些地区，人们每天往返三到五次从河里取脏水。根据 Tina Rosenberg 为国家地理杂志撰写的一篇文章，每次往返需要 2 到 3 小时，水是装在“50 磅塑料桶”中的。因此，划定埃塞俄比亚地下水潜力是当务之急。本研究的目的是在地理信息系统 (GIS) 领域使用模糊逻辑方法开发空间模型，以划分地下水潜在区 (GPZ)。为GPZ划定准备、分析和研究了地质、坡度、排水密度、断层距离、剖面曲率、平面曲率、湿度指数、土壤质地、土壤类型和土地利用等10个专题层。研究表明，杰马河流域约 43.78% 的地区代表 GPZ 被归类为“优秀”。“非常差”、“差”、“中等”和“良好”的 GPZ 分别出现在 22.67、6.02、19.88 和 7.66% 的盆地中。这项研究证明了模糊逻辑方法与 GIS 相结合作为划分 GPZ 的有效模型的有效性，并且可以在大陆范围内应用。