L'eau dans le désert libyque : dépression de Kharga (désert occidental, Egypte) (The water in Western Desert (depression of Kharga, Egypte))

2000 ◽  
Vol 77 (1) ◽  
pp. 24-32 ◽  
Author(s):  
Marc Robin ◽  
Bernard Bousquet
Keyword(s):  
Western Desert

Soil variables affecting the vegetation of inland western desert of Egypt

1999 ◽  
Vol 25 (2) ◽  
pp. 173-184 ◽  
Author(s):  
Monier Abd El-Ghani
Keyword(s):  
Western Desert ◽  
Soil Variables

QUASI-POLYGONAL RIDGE NETWORK ASSOCIATED WITH NON-TECTONIC SAG SYNCLINES IN THE EOCENE DRUNKA FORMATION, WESTERN DESERT, EGYPT: EVIDENCE FOR HYPOGENE KARST?

2017 ◽  
Author(s):  
Barbara J. Tewksbury ◽  
◽  
Alexander P. Holmwood ◽  
Mia E. Ratino ◽  
Elhamy A. Tarabees ◽  
...  
Keyword(s):  
Western Desert

The Maastrichtian–Danian transition in the northern Farafra Oasis, Western Desert (Egypt): Implications from foraminiferal paleobathymetry and paleoenvironmental reconstructions

2020 ◽  
Vol 168 ◽  
pp. 103853
Author(s):  
Amr S. Zaky ◽  
Michael A. Kaminski ◽  
Rodolfo Coccioni ◽  
Sherif Farouk ◽  
Mohamed A. Khalifa ◽  
...  
Keyword(s):  
Western Desert ◽  
Paleoenvironmental Reconstructions

Palaeoecology and taphonomy of a middle Miocene domical cheilostome bryozoan, Siwa Oasis, the northern Western Desert of Egypt

Lethaia ◽  
2021 ◽  
Author(s):  
Magdy El Hedeny ◽  
Andrej Ernest ◽  
Ahmed El‐Sabbagh ◽  
Mohammed Rashwan ◽  
Saleh Al Farraj ◽  
...  
Keyword(s):  
Middle Miocene ◽  
Western Desert

scholarly journals Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1426
Author(s):  
Ahmed S. Abuzaid ◽  
Mohamed A. E. AbdelRahman ◽  
Mohamed E. Fadl ◽  
Antonio Scopa
Keyword(s):  
Remote Sensing ◽  
Soil Quality ◽  
Land Degradation ◽  
Quality Index ◽  
Management Strategies ◽  
Remote Sensing Data ◽  
Western Desert ◽  
Soil Quality Index ◽  
Climate Conditions ◽  
Sensing Data

Modelling land degradation vulnerability (LDV) in the newly-reclaimed desert oases is a key factor for sustainable agricultural production. In the present work, a trial for usingremote sensing data, GIS tools, and Analytic Hierarchy Process (AHP) was conducted for modeling and evaluating LDV. The model was then applied within 144,566 ha in Farafra, an inland hyper-arid Western Desert Oases in Egypt. Data collected from climate conditions, geological maps, remote sensing imageries, field observations, and laboratory analyses were conducted and subjected to AHP to develop six indices. They included geology index (GI), topographic quality index (TQI), physical soil quality index (PSQI), chemical soil quality index (CSQI), wind erosion quality index (WEQI), and vegetation quality index (VQI). Weights derived from the AHP showed that the effective drivers of LDV in the studied area were as follows: CSQI (0.30) > PSQI (0.29) > VQI (0.17) > TQI (0.12) > GI (0.07) > WEQI (0.05). The LDV map indicated that nearly 85% of the total area was prone to moderate degradation risks, 11% was prone to high risks, while less than 1% was prone to low risks. The consistency ratio (CR) for all studied parameters and indices were less than 0.1, demonstrating the high accuracy of the AHP. The results of the cross-validation demonstrated that the performance of ordinary kriging models (spherical, exponential, and Gaussian) was suitable and reliable for predicting and mapping soil properties. Integrated use of remote sensing data, GIS, and AHP would provide an effective methodology for predicting LDV in desert oases, by which proper management strategies could be adopted to achieve sustainable food security.

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