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利用层次分析法将常规数据和遥感数据与直流电阻率数据集相结合,绘制埃及北瓦迪迪特的地下水潜在区域图。

Integrating conventional and remote sensing with DC resistivity datasets to map groundwater potential areas using the analytical hierarchy process method, North Wadi Diit, Egypt.

作者信息

Genedi Mohamed, Gouhar Noura, El-Qady Gad, Gaafar Ibrahim, Mahmoudi Ahmed El

机构信息

Department of Geology, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt.

National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, 11722, Egypt.

出版信息

Sci Rep. 2025 Apr 14;15(1):12786. doi: 10.1038/s41598-025-94598-7.

Abstract

This study investigates the groundwater potential (GWP) in Wadi Diit, an arid region with promising resource development prospects, by integrating topographic, hydrogeological, and mineralogical parameters. To analyze the study area, a combination of conventional methods, remote sensing data from Sentinel-2, ASTER-GDEM, and ASTER-L1B, as well as DC resistivity datasets was utilized. The study region comprises Precambrian, Tertiary, and Quaternary surface rock units, supporting lithosol and Yermosol soil types. Barren lands dominate the landscape, while the southern portion experiences higher rainfall. Nine thematic layers (quartz index, carbonate index, slope, rainfall, drainage density, topographic wetness index, lineament density, land cover, and mafic index) were classified and weighted using GIS-based analytical hierarchy process, achieving a model accuracy of 0.0959. The GWP zones were categorized into very low (4.53%), low (17.33%), moderate (27.05%), high (27.79%), and very high (23.3%) categories, predominantly falling within moderate to very high classifications. Validation through hydrogeological data from 11 wells and a receiver operating characteristic curve analysis (area under curve = 0.8) confirmed the model's reliability. DC resistivity measurements were conducted at nine vertical electrical sounding (VES) sites using a Schlumberger array (AB/2 = 500 m) along two profiles. The data were analyzed using various inversion techniques, including unconstrained 1D-VES, laterally constrained inversion (LCI-VES), spatially constrained inversion (SCI-VES), and 2D-VES inversions. A 0.3 constraint factor was applied to assess the accuracy of the model parameters, as their STDF derived from SCI-VES data were determined to be well-resolved. The SCI-VES and 2D-VES inversion results identified four distinct geological layers; unconsolidated surface deposits, gravelly-sand sediments of fresh-brackish Quaternary aquifer (30-384 Ω m and 3.7-15.9 m depth), saturated clayey-sand deposits, and saline Fractured Basement aquifer (10-137 Ω m and 33-90.4 m depth). The region exhibits a complex geological structure, characterized by an uplifted Fractured Basement aquifer trending southeast and southwest as indicated by 2D-VES models. The north-central region emerges as the most favorable location for substantial GWPZ, making it strategically ideal for the installation of additional water wells.

摘要

本研究通过整合地形、水文地质和矿物学参数,对瓦迪迪特(Wadi Diit)的地下水潜力(GWP)进行了调查,该地区为干旱地区,具有良好的资源开发前景。为了分析研究区域,采用了传统方法、哨兵2号(Sentinel-2)的遥感数据、先进星载热发射和反射辐射仪全球数字高程模型(ASTER-GDEM)、先进星载热发射和反射辐射仪一级产品(ASTER-L1B)以及直流电阻率数据集的组合。研究区域包括前寒武纪、第三纪和第四纪地表岩石单元,支持石质土和漠境土土壤类型。荒地在景观中占主导地位,而南部地区降雨较多。利用基于地理信息系统(GIS)的层次分析法对九个专题图层(石英指数、碳酸盐指数、坡度、降雨量、排水密度、地形湿度指数、线性构造密度、土地覆盖和镁铁质指数)进行分类和加权,模型精度达到0.0959。GWP区分为极低(4.53%)、低(17.33%)、中等(27.05%)、高(27.79%)和极高(23.3%)类别,主要属于中等至极高分类。通过11口井的水文地质数据和接收器操作特征曲线分析(曲线下面积=0.8)进行验证,证实了模型的可靠性。使用施伦贝格阵列(AB/2=500米)沿着两条剖面在九个垂直电测深(VES)站点进行了直流电阻率测量。使用各种反演技术对数据进行了分析,包括无约束一维VES、横向约束反演(LCI-VES)、空间约束反演(SCI-VES)和二维VES反演。应用0.3的约束因子来评估模型参数的准确性,因为从SCI-VES数据得出的标准偏差因子(STDF)被确定为分辨率良好。SCI-VES和二维VES反演结果识别出四个不同的地质层;未固结的地表沉积物、淡水-微咸水第四纪含水层的砾砂沉积物(30-384Ω·m,深度3.7-15.9米)、饱和的黏砂土沉积物以及含盐的裂隙基底含水层(10-137Ω·m,深度33-90.4米)。该地区呈现出复杂的地质结构,二维VES模型显示,裂隙基底含水层呈东南和西南走向隆起。中北部地区成为具有大量GWPZ的最有利位置,使其在战略上非常适合安装更多水井。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b24d/11997061/0e2f63fd2086/41598_2025_94598_Fig1_HTML.jpg

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