基于地质研究和遥感数据的构造控制地形地下水赋存情况调查:埃及南西奈的Wadi El Morra

Hussien M. Hussien, M. Yousif, Abdelfatah El Sheikh
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引用次数: 3

摘要

在干旱环境下,研究结构控制地形下的地下水赋存状况及其补给机制是制定可持续管理策略的必要条件。在目前的研究中,跨学科的方法包括容易获得的气候、地质、地形和水文数据集,以及卫星图像和实地数据,以更好地了解在特殊地质环境下存在的地下水状况。我们的研究结果表明:1) Araba砂岩含水层在某些区域的最大厚度约220控制的结构设置,特别是基底隆起,2)盆地的水文分析显示,它收到了总计52.66×106立方米2018年7月到2019年6月之间的降雨导致径流量约29.47×106立方米,总损失金额约23.2×106立方米,3)topographically-driven现代充电结构控制地形(Wadi El猜拳)可以发生,因此,需要进一步研究含水层对气候变化的反应。该研究提出了一项管理计划,通过建立三个湖泊来储存水并增加地下水补给机会,利用El Morra盆地可用的地表水潜力。此外,根据地质和地下资料,选择了未来地下水勘探的三个区域。
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Investigation of groundwater occurrences in structurally controlled terrain, based on geological studies and remote sensing data: Wadi El Morra, South Sinai, Egypt
ABSTRACT The investigations of groundwater occurrences and its recharge mechanisms in structurally controlled terrain under arid environments are necessary for developing sustainable management strategies. In current study, an interdisciplinary approach includes readily accessible climatic, geological, topographic, and hydrological datasets together with satellite imagery and field data, were employed for better understand of the groundwater regime existing under special geological setting. Our findings indicate that: 1) the Araba sandstone aquifer has maximum thickness of about 220 m in some area controlled by structural setting, particularly the basement uplift, 2) the hydrologic analyses of this basin revealed that it received a total 52.66 × 106 m3 of rainfall between July 2018 to June 2019 that led to runoff volume about 29.47 × 106 m3 with total losses amounts about 23.2 × 106 m3, 3) topographically-driven modern recharge to the structural controlled terrain (Wadi El Morra) can be occurred, and therefore further investigation related to the aquifer response to climate variability, are required. The study suggested a management plan to capitalize the available surface water potentialities of El Morra basin through establishing three lakes that store water and enhance the groundwater recharge opportunities. In addition, three regions are selected for future groundwater exploration based on geological and subsurface data.
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