PDF(Pubmed)
Abstract：
Among all other valuable natural resources, groundwater is crucial for global economic growth and food security. This study aimed to delineate groundwater potential zones (GWPZ) in the Gidabo watershed of the Main Ethiopian Rift. The demand for groundwater supplies for various applications has risen recently in the watershed due to rapid population upsurge. An integrated Geographical Information System, Remote Sensing, and Analytical Hierarchy Process (AHP) has been utilized. Eight groundwater regulating factors, including rainfall, elevation, drainage density, soil types, lineament density, slope, lithology, and land use/land cover, have been taken in the analysis. To assign suitable weights to each factor, AHP was employed, as each element contributes differently to groundwater occurrence. The weighted overlay analysis (WOA) technique was then used in the ArcGIS environment to integrate all thematic layers and generate a GWPZ map. The delineated GWPZ in the watershed was classified into five categories. The poor GWPZ covered 18.7 %, the low GWPZ covered 33.8 %, the moderate GWPZ covered 23.4 %, the high GWPZ covered 18.1 %, and the very high GWPZ covered 5.8 % of the area. Well and spring data were used to validate the model, and the ROC (Receiver Operating Characteristic) curve method was applied. The results showed good accuracy of 76.8 %. The result of this research can be valuable for planning and managing groundwater resources in the Gidabo watershed.
摘要：
在所有其他宝贵的自然资源中，地下水对全球经济增长和粮食安全至关重要。这项研究旨在划定埃塞俄比亚主要裂谷Gidabo流域的地下水潜力区（GWPZ）。由于人口迅速激增，流域对各种应用的地下水供应需求最近有所增加。综合地理信息系统,遥感,并采用了层次分析法(AHP)。八个地下水调节因素，包括降雨,高程,排水密度,土壤类型,线条密度，斜坡,岩性,和土地利用/土地覆盖，已在分析中采用。要为每个因素分配合适的权重，采用了AHP，因为每个元素对地下水发生的贡献不同。然后在ArcGIS环境中使用加权叠加分析（WOA）技术来集成所有主题层并生成GWPZ图。分水岭中划定的GWPZ分为五类。可怜的GWPZ覆盖了18.7％，低GWPZ覆盖了33.8%，中等GWPZ占23.4%，高GWPZ覆盖了18.1%，非常高的GWPZ覆盖了该地区的5.8％。井和弹簧数据用于验证模型，并应用ROC(受试者工作特性)曲线法。结果表明，准确率为76.8%。这项研究的结果对于Gidabo流域的地下水资源规划和管理具有重要价值。
