2014
DOI: 10.1016/j.geomorph.2013.10.023
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Remote sensing and geophysical investigations of Moghra Lake in the Qattara Depression, Western Desert, Egypt

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Cited by 30 publications
(12 citation statements)
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“…Major agricultural expansion, industry and civil activities are planned in the Western Desert [6,7], which covers 66.7% of the total area of Egypt having seven depressions; Siwa, Qattara, Fayum, Bahariya, Farafra, Dakhla, and Kharga, where the freshwater exist in the Oasis [8]. The Nubian Sandstone Aquifer (NSSA), the major ground water aquifer in Egypt, is in this desert [9].…”
Section: Introductionmentioning
confidence: 99%
“…Major agricultural expansion, industry and civil activities are planned in the Western Desert [6,7], which covers 66.7% of the total area of Egypt having seven depressions; Siwa, Qattara, Fayum, Bahariya, Farafra, Dakhla, and Kharga, where the freshwater exist in the Oasis [8]. The Nubian Sandstone Aquifer (NSSA), the major ground water aquifer in Egypt, is in this desert [9].…”
Section: Introductionmentioning
confidence: 99%
“…With tar balls, SRBs, and contaminated sand layers found at the survey sites it is highly probably that majority of the observed anomalies in the GPR and EMI datasets are attributed to the presence of buried weathered hydrocarbons. In comparison with GPR profiles taken on non-contaminated sand and beach settings (Neal and Roberts, 2000;Neal et al, 2003;Wang and Horwitz, 2007;Shukla et al, 2013;Khan et al, 2014), it is clear that the observed anomalous layers are not indicative of this type of environment. GPR data from the 2014 survey trip, however, are more typical of a marine setting.…”
Section: Discussionmentioning
confidence: 89%
“…Recently, these factors were integrated with other subsurface factors and thematic layers associated with groundwater flow and storage in GIS analyses, to identify potential groundwater zones ( Abdalla, 2012 ; Lee et al, 2012 ). In many places, RS and geophysical data are combined for detailed exploration of groundwater resources, with the aim of developing these resources ( Arafa-Hamed, 2013 ; Khan et al, 2014 ). Numerical modeling based mainly on RS data has been used to identify groundwater recharge and discharge zones ( Schultz and Engman, 2000 ).…”
Section: Natural Resource Management and Developmentmentioning
confidence: 99%