当前位置: X-MOL 学术J. Afr. Earth Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
An improved approach for predicting the groundwater potentiality in the low desert lands; El-Marashda area, Northwest Qena City, Egypt
Journal of African Earth Sciences ( IF 2.3 ) Pub Date : 2021-03-28 , DOI: 10.1016/j.jafrearsci.2021.104200
Sherif Ahmed Abu El-Magd , Ahmed M. Eldosouky

The harsh environment of Egypt makes the potentiality assessment of the groundwater of high concern where the groundwater considered as the foremost water supply for irrigation and domestic purposes. In the present work, the frequency ratio (FR), analytical hierarchy process (AHP), and evidential belief function (EBF) models were integrated with Geographic Information System (GIS) and Ternary Image (TI) model as a new integrated approach for evaluating groundwater potentiality. The accuracy of our model was compared applying the area under the curve (AUC). The prediction rates of AUC that acquired for AHP, FR, EBF, and TI were about 72%, 77%, 67% and 79.13%, respectively. Consequently, the Ternary image potential zoning map classified well the Northwest Qena city area depending on the water occurrences. The models validation output demonstrates that both AHP and TI proved an efficiency for groundwater potentials zones. Our new integrated approach can be implemented in the similar harsh areas for water resources potentiality prediction in Africa and other alike areas.



中文翻译:

一种改进的预测低沙漠地区地下水潜力的方法;埃及Qena市西北部El-Marashda地区

埃及的恶劣环境使人们高度关注地下水的潜力评估,因为地下水被认为是灌溉和家庭用水的首要水源。在当前的工作中,频率比(FR),层次分析法(AHP)和证据信念函数(EBF)模型与地理信息系统(GIS)和三元图像(TI)模型集成在一起,作为一种新的综合评估方法地下水潜力。应用曲线下面积(AUC)比较了我们模型的准确性。获得的AHP,FR,EBF和TI的AUC预测率分别约为72%,77%,67%和79.13%。因此,根据水的出现情况,三元图像潜力区划图对西北切纳市地区进行了很好的分类。模型验证的结果表明,AHP和TI均证明了对地下水潜力区的有效性。我们的新综合方法可以在类似的恶劣地区实施,以预测非洲和其他地区的水资源潜力。

更新日期:2021-04-11
down
wechat
bug