Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia
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 ero...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/9585962 |
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| author | Jarbou A. Bahrawi Mohamed Elhag Amal Y. Aldhebiani Hanaa K. Galal Ahmad K. Hegazy Ebtisam Alghailani |
| author_facet | Jarbou A. Bahrawi Mohamed Elhag Amal Y. Aldhebiani Hanaa K. Galal Ahmad K. Hegazy Ebtisam Alghailani |
| author_sort | Jarbou A. Bahrawi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6db9327817bb430ab0144eb9639e51c9 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-6db9327817bb430ab0144eb9639e51c92025-02-03T06:12:45ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422016-01-01201610.1155/2016/95859629585962Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi ArabiaJarbou A. Bahrawi0Mohamed Elhag1Amal Y. Aldhebiani2Hanaa K. Galal3Ahmad K. Hegazy4Ebtisam Alghailani5Department of Hydrology and Water Resources Management, Faculty of Meteorology, Environment & Arid Land Agriculture, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Hydrology and Water Resources Management, Faculty of Meteorology, Environment & Arid Land Agriculture, King Abdulaziz University, Jeddah 21589, Saudi ArabiaBiological Sciences Department, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi ArabiaBiological Sciences Department, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Botany and Microbiology, Faculty of Science, Cairo University, Giza 12613, EgyptBiological Sciences Department, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi ArabiaSoil 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.http://dx.doi.org/10.1155/2016/9585962 |
| spellingShingle | Jarbou A. Bahrawi Mohamed Elhag Amal Y. Aldhebiani Hanaa K. Galal Ahmad K. Hegazy Ebtisam Alghailani Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia Advances in Materials Science and Engineering |
| title | Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia |
| title_full | Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia |
| title_fullStr | Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia |
| title_full_unstemmed | Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia |
| title_short | Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia |
| title_sort | soil erosion estimation using remote sensing techniques in wadi yalamlam basin saudi arabia |
| url | http://dx.doi.org/10.1155/2016/9585962 |
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