Groundwater perspective zone mapping coupled with remote sensing, GIS, AHP, and MIF models: a case study of the Gorezen watershed, Ethiopia

G. Mulu, Mulu Sewinet Kerebih, Dawit Asregedew Hailu
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Abstract

This study aims to identify groundwater potential zones (GWPZs) utilizing multi-influencing factor, geographical information system (GIS)-based analytical hierarchy processes (AHPs), and remote sensing in the Gorezen watershed, Ethiopia. Weighted overlay analysis was used in this study to integrate nine thematic layers. The Gorezen watershed is primarily covered by regions with roughly low groundwater potential, according to the results, which were linked to the kinds of geology and geomorphological settings. Receiver operating characteristic curves and samples of observed groundwater well-yielded data were used to validate the GWPZ map. Additionally, field observations confirmed that a high degree of agreement was obtained. The cross-validation results show that AHP is a lot more successful approach (accuracy 0.87) for obtaining groundwater potential maps. Thus, it is acceptable to identify the GWPZs utilizing integrated methodologies that combine two multi-criteria decision analysis techniques with the aid of a GIS environment.
利用遥感、地理信息系统、AHP 和 MIF 模型绘制地下水透视区地图:埃塞俄比亚戈尔岑流域案例研究
本研究旨在利用多重影响因素、基于地理信息系统(GIS)的层次分析法(AHPs)和遥感技术,确定埃塞俄比亚戈尔岑流域的地下水潜势区(GWPZs)。本研究采用加权叠加分析法整合了九个专题图层。研究结果表明,戈尔岑流域主要由地下水潜势大致较低的区域所覆盖,这与地质和地貌环境的种类有关。接收器工作特征曲线和地下水井产观测数据样本被用来验证 GWPZ 地图。此外,实地观测也证实了结果的高度一致。交叉验证结果表明,在获取地下水潜势图方面,AHP 是一种更为成功的方法(精确度为 0.87)。因此,在地理信息系统环境的帮助下,利用结合两种多标准决策分析技术的综合方法来确定全球降水潜势区是可以接受的。
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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