Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia
Soil Erosion Estimation Using Remote Sensing Techniques in Wadi Yalamlam Basin, Saudi Arabia
复制标题
利用遥感技术估算沙特阿拉伯 Wadi Yalamlam 盆地的土壤侵蚀
DOI：
10.1155/2016/9585962
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Ebtisam Alghailani
中科院分区：
文献类型：
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作者：
J. Bahrawi;M. Elhag;A. Aldhebiani;H. Galal;A. Hegazy;Ebtisam Alghailani
土壤侵蚀是沙特阿拉伯土壤退化方面的主要环境问题之一。土壤侵蚀导致严重的现场和场外影响，如土地生产能力的大幅下降和沉积。影响土壤侵蚀量的关键因素主要取决于植被覆盖度、地形、土壤类型和气候。本研究研究在Wadi Yalamlam的不同数据可用性水平下对土壤侵蚀进行量化。已采用遥感和地理信息系统技术对数据进行评估，并采用经修订的通用土壤流失方程计算侵蚀风险。随机选取34个土壤样品，通过插值土壤采样点后计算土壤性质表面的可蚀性因子。土壤侵蚀风险图被重新划分为五个侵蚀风险等级，19.3%的Wadi Yalamlam处于非常严重的风险之下（37，740公顷）。GIS和RS被证明是绘制土壤侵蚀风险图的有力工具，为本研究的分析部分提供了足够的工具。映射结果证明了RUSLE作为决策支持工具的作用。
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 -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.