Geospatial technology-based identification of groundwater potential zone in the Upper Dawa River Basin, Southern Ethiopia

IF 2.7 Q2 MULTIDISCIPLINARY SCIENCES
Debisa Debela , Fikadu Woldemariyam Wodessa , Shankar Karuppannan , Dechasa Diriba
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引用次数: 0

Abstract

Groundwater (GW) is a vital freshwater resource and essential for meeting domestic, irrigation, and industrial demands. As the demand for water rises, evaluating groundwater potential (GWP) and aquifer productivity becomes increasingly important. This research focuses on mapping groundwater potential zones (GWPZ) in the Upper Dawa River Basin (UDRB), Southern Ethiopia, utilizing a Geographic Information System (GIS)-based Analytical Hierarchy Process (AHP). Seven factors influencing GW availability, recharge, and distribution were considered: drainage density(DD), geology(GL), lineament density(LD), soil type, land use/land cover(LULC), rainfall, and slope. The WOA (weighted overlay analysis) tool in ArcGIS 10.8 generates the final GWPZ map. The results identified five categories of GWPZ: very low, low, moderate, high, and very high, covering 0.26 %, 45.9 %, 8.8 %, 16.34 %, and 28.08 % of the area under study, respectively. The volcanic terrain in the north and northwest, the limestone terrain in the southeast, and patchy or elongated small areas in the basement terrain in the center and south of the research area were mapped as high to very high GWPZs. Conversely, a significant portion of the basement terrain was classified as low-very low GWP. The GWPM (groundwater potential map) accuracy is assessed by utilizing the area under the curve (AUC) approach, resulting in an AUC value of 0.834, indicating a dependable outcome. The findings of this research contribute to ongoing efforts to ensure sustainable water sources for vulnerable communities in the area under investigation.
基于地理空间技术的埃塞俄比亚南部达瓦河上游盆地地下水潜力带识别
地下水是一种重要的淡水资源,对满足家庭、灌溉和工业需求至关重要。随着水资源需求的增加,地下水潜力(GWP)和含水层生产力的评估变得越来越重要。本研究的重点是利用基于地理信息系统(GIS)的层次分析法(AHP)在埃塞俄比亚南部的达瓦河上游流域(UDRB)绘制地下水潜在带(GWPZ)。研究考虑了7个影响GW有效性、补给和分布的因素:排水密度(DD)、地质(GL)、地形密度(LD)、土壤类型、土地利用/土地覆盖(LULC)、降雨量和坡度。ArcGIS 10.8中的WOA(加权叠加分析)工具生成最终的GWPZ地图。结果表明,研究区GWPZ分为极低、低、中、高和极高5类,分别占研究区面积的0.26%、45.9%、8.8%、16.34%和28.08%。研究区北部和西北部的火山地形、东南部的灰岩地形以及中部和南部的基底地形斑块状或细长状的小块区域被标为高至极高的gwpzone。相反,基底地形的很大一部分被归类为低-非常低的GWP。利用曲线下面积(AUC)法评价地下水潜力图(GWPM)的精度,得到的AUC值为0.834,结果可靠。这项研究的结果有助于正在进行的努力,以确保受调查地区脆弱社区的可持续水资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scientific African
Scientific African Multidisciplinary-Multidisciplinary
CiteScore
5.60
自引率
3.40%
发文量
332
审稿时长
10 weeks
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