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Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia
Joint Authors
Elhag, Mohamed
Bahrawi, Jarbou A.
Aldhebiani, Amal Y.
Galal, Hanaa K.
Hegazy, Ahmad K.
Alghailani, Ebtisam
Source
Advances in Materials Science and Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-30
Country of Publication
Egypt
No. of Pages
8
Abstract EN
Soil erosion is one of the major environmental problems in terms of soil degradation in Saudi Arabia.
Soil erosion leads to significant on- and off-site impacts such as significant decrease in the productive capacity of the land and sedimentation.
The key aspects influencing the quantity of soil erosion mainly rely on the vegetation cover, topography, soil type, and climate.
This research studies the quantification of soil erosion under different levels of data availability in Wadi Yalamlam.
Remote Sensing (RS) and Geographic Information Systems (GIS) techniques have been implemented for the assessment of the data, applying the Revised Universal Soil Loss Equation (RUSLE) for the calculation of the risk of erosion.
Thirty-four soil samples were randomly selected for the calculation of the erodibility factor, based on calculating the K -factor values derived from soil property surfaces after interpolating soil sampling points.
Soil erosion risk map was reclassified into five erosion risk classes and 19.3% of the Wadi Yalamlam is under very severe risk (37,740 ha).
GIS and RS proved to be powerful instruments for mapping soil erosion risk, providing sufficient tools for the analytical part of this research.
The mapping results certified the role of RUSLE as a decision support tool.
American Psychological Association (APA)
Bahrawi, Jarbou A.& Elhag, Mohamed& Aldhebiani, Amal Y.& Galal, Hanaa K.& Hegazy, Ahmad K.& Alghailani, Ebtisam. 2016. Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia. Advances in Materials Science and Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1096493
Modern Language Association (MLA)
Bahrawi, Jarbou A.…[et al.]. Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia. Advances in Materials Science and Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1096493
American Medical Association (AMA)
Bahrawi, Jarbou A.& Elhag, Mohamed& Aldhebiani, Amal Y.& Galal, Hanaa K.& Hegazy, Ahmad K.& Alghailani, Ebtisam. Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia. Advances in Materials Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1096493
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1096493