2009
DOI: 10.1007/s12665-009-0102-9
|View full text |Cite
|
Sign up to set email alerts
|

Sand movement patterns in the Western Desert of Egypt: an environmental concern

Abstract: Wind action is the most dominant agent for erosion and deposition in the vast Western Desert of Egypt. Analysis of wind data from seven meteorological stations distributed along the Western Desert reveals that this desert is characterized by high-energy wind environments along the northern and southern edges and low-energy wind environments throughout the rest of the desert. Accordingly, sand drift potential follows the pattern of wind energy. Maximum sand drift potential was observed at the southern edge (571… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
18
0

Year Published

2010
2010
2021
2021

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 59 publications
(19 citation statements)
references
References 15 publications
0
18
0
Order By: Relevance
“…These areas have distinctive features in different types of purple or ochreous sand dunes accompanied with strips or ripples in the direction of prevailing wind. Considering the difficulty of texture recognition for supervised classification or unsupervised classification, visual interpretation combining geography, climate, SDS paths on MODIS images and knowledge from previous studies were considered as reference to identify SDS source areas (Al-Hurban and Al-Ostad, 2009;Furman, 2003;Hereher, 2009;Li et al, 2013;WMO, 2013). After mapping out SDS source areas in Syria and Iraq, the SDS situation in other three pilot countries were generated using the interpretation experience consequently.…”
Section: Methodsmentioning
confidence: 99%
“…These areas have distinctive features in different types of purple or ochreous sand dunes accompanied with strips or ripples in the direction of prevailing wind. Considering the difficulty of texture recognition for supervised classification or unsupervised classification, visual interpretation combining geography, climate, SDS paths on MODIS images and knowledge from previous studies were considered as reference to identify SDS source areas (Al-Hurban and Al-Ostad, 2009;Furman, 2003;Hereher, 2009;Li et al, 2013;WMO, 2013). After mapping out SDS source areas in Syria and Iraq, the SDS situation in other three pilot countries were generated using the interpretation experience consequently.…”
Section: Methodsmentioning
confidence: 99%
“…The dune migration was measured using Google Earth historical satellite images, which was widely used to investigate the dune changes [16][17][18][19] The images were extracted using ArcGIS software (Esri, Redlands, CA, USA). This step was performed by locating two control lines of the known coordinates in the Google Earth image, which were saved as a shape file, and a layer of the reference points in the ArcGIS database.…”
Section: Dune Migrationmentioning
confidence: 99%
“…The wind regime of a region is the main force responsible for the dune field pattern. Wind energy environment (the wind's drift potential (DP) and directional variability (RDP/DP, where RDP is the resultant drift potential)), which calculates an index of sand transport intensity, has also been applied in studies of dune patterns around the world (Fryberger and Dean, 1979;Bullard et al, 1996;Hereher, 2010). The methods developed in these prior studies have been used subsequently to examine possible regional-scale changes in dune morphology to understand changes in regional wind regimes (e.g.…”
Section: Introductionmentioning
confidence: 99%