Laboratory and Statistical Methods for Estimating Soil Erosion on Al-Jabal Alkhdar Slopes

M. Aburas, A. Habel, Asama S. Alferjani
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Abstract

The study applied some dynamic laboratory methods to estimate soil susceptibility to water erosion. Non-dynamic laboratory methods such as statistical methods were also applied. Tests were carried out on topsoil samples (0-10 cm) collected from five sites located on the semi-arid southern slopes of Al-Jabal Alkhdar: Meseliba (Taknes); Marawa; Sirat Alia (Gandulah), Grehat (Gandulah), and Qasar Mestashi (Salantah). The results showed compatibility between the results of all the dynamic methods, which showed that the soil of Qasar Mestashi is the most susceptible to erosion, which corresponds to the deterioration of its physical and hydraulic properties and the low content of organic matter. It was also found that the soil of the Sirat Alia area was the least erosive, which corresponds to the high content of clay, organic matter, and soil water-stable aggregates. On the other hand, the statistical method using the K-USLE nomograph (diagram) did not succeed in producing results consistent with the dynamic laboratory methods, the K-USLE nomograph results unexpectedly showed that the soil of Grehat is relatively the most susceptible to erosion, although these soils have a good content of clay, organic matter, and soil water-stable aggregates. The high content of silt at Grehat soils could be the reason for the high susceptibility estimation when the statistical method is applied. Accordingly, the variance in the results of statistical methods is expected due to the slight changes in the soil fractions, which raises doubts about the efficiency of statistical methods in providing a reliable characterization of soil susceptibility to water erosion. Dynamic laboratory methods were the closest to soil characteristics and field conditions, which could make them more realistic and reliable indicators as low-cost and easy-to-apply methods, and contribute to more efficient erosion measurement at Al-Jabal Alkhdar region.
估算Al-Jabal Alkhdar斜坡土壤侵蚀的实验室和统计方法
本研究采用动态实验室方法估算土壤对水分侵蚀的敏感性。非动态实验室方法,如统计方法也被应用。对位于Al-Jabal Alkhdar半干旱南部斜坡上的五个地点收集的表层土样本(0-10厘米)进行了测试:Meseliba (Taknes);Marawa;Sirat Alia (Gandulah), Grehat (Gandulah)和Qasar Mestashi (Salantah)。结果表明,各动态分析方法的结果具有较好的相容性,表明卡萨尔梅斯塔什土壤最易受侵蚀,这与土壤的物理和水力特性恶化以及有机质含量低相对应。研究还发现,Sirat Alia地区的土壤侵蚀最小,这与粘土、有机质和土壤水稳性团聚体含量高相对应。另一方面,使用K-USLE nomograph(图)的统计方法并没有成功地产生与动态实验室方法一致的结果,K-USLE nomograph结果出人意料地表明,尽管这些土壤具有良好的粘土、有机质和土壤水稳性团聚体含量,但相对而言,Grehat土壤最容易受到侵蚀。在应用统计方法时,高粉砂含量可能是导致敏感性估计高的原因。因此,由于土壤组分的微小变化,预计统计方法的结果会出现差异,这使人们怀疑统计方法在提供土壤对水侵蚀敏感性的可靠表征方面的效率。动态实验室方法是最接近土壤特征和田间条件的方法,成本低、易于应用,是更现实可靠的指标,有助于提高Al-Jabal Alkhdar地区侵蚀测量的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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