Dhinsa Desalegn, Tamiru Fekadu, Tadesa Birhanu
School of General Tadesa Birru, Finfine, Ethiopia.
Department of Earth Science, Wollega University, Nakamte, Ethiopia.
Heliyon. 2022 Aug 15;8(8):e10245. doi: 10.1016/j.heliyon.2022.e10245. eCollection 2022 Aug.
Groundwater is an appreciated and vital natural resource in the world, and it is of the utmost essential for the growth and development of a country. Nevertheless, assessing the groundwater potential and its recharge region is still ambiguous due to the nature of groundwater. In this study, the groundwater potential of the Weserbi Guto Laga Qawe Catchment Sululta area was assessed using VES and GIS methods. For the model, thematic layers were generated from the geophysical investigation, existing maps, and field survey results and were integrated into the GIS environment to delineate the groundwater potential zones. Factors such as lineament density, drainage density, elevation or topography, slope gradient, aquifer resistivity, and lithology were derived, reclassified, and scaled to common ranges and assigned with appropriate weights. The groundwater potential zonation model of the site was produced by the multicriteria evaluation method. Accordingly, the geometrical interval method was utilized to classify the index into three zones (high, moderate, and low) to produce the map. The model result revealed that a large part of the study area fell into the high zone with 50.14 % (3669.99ha). whereas 35.85% (262.72ha) and 14.01% (1024.95ha) show moderate and low groundwater potential, respectively. The resulting map was validated using eleven existing water level data points and the result was found to be in good agreement with the model.
地下水是世界上一种宝贵且至关重要的自然资源,对一个国家的发展和成长至关重要。然而,由于地下水的特性,评估其潜力及其补给区域仍然不明确。在本研究中,使用VES和GIS方法评估了韦塞尔比古托拉加夸韦集水区苏卢尔塔地区的地下水潜力。对于该模型,从地球物理调查、现有地图和实地调查结果中生成专题图层,并将其整合到GIS环境中,以划定地下水潜力区。对线状密度、排水密度、海拔或地形、坡度、含水层电阻率和岩性等因素进行了推导、重新分类并缩放到共同范围,并赋予适当权重。通过多标准评价方法建立了该场地的地下水潜力分区模型。据此,利用几何区间法将指标分为三个区(高、中、低)以制作地图。模型结果显示,研究区域的大部分属于高区,占50.14%(3669.99公顷)。而分别有35.85%(262.72公顷)和14.01%(1024.95公顷)显示中等和低地下水潜力。使用11个现有水位数据点对生成的地图进行了验证,结果发现与模型吻合良好。