ABSTRACT The accurate representation of the Earth’s surface plays a vital role in soil erosion modelling. Topography is parameterized in the Universal Soil Loss Equation (USLE) and Revised USLE (RUSLE) by the topographic (LS) factor. For slope gradients of < 20%, soil loss values are similar for both models, but when the gradient is increased, RUSLE estimates are only half of those of USLE. The study aims to assess the validity of this statement for complex hillslope profiles. To that end, both models were applied at eight diverse mountainous sub-watersheds. The USLE and RUSLE indices were estimated utilizing the SEAGIS model and a European dataset, respectively. LS factors were in a 3:1 ratio (i.e. USLE:RUSLE) considering the entire basin area. For areas with slopes <20%, gross erosion estimates of both models converged. Sites of strong relief (>20%) USLE yielded significantly higher values than RUSLE.

中文翻译：

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USLE、RUSLE地形因子算法的内在关系及其对土壤侵蚀建模的影响

摘要 地球表面的准确表示在土壤侵蚀建模中起着至关重要的作用。地形在通用土壤流失方程 (USLE) 和修订版 USLE (RUSLE) 中通过地形 (LS) 因子进行参数化。对于 < 20% 的坡度，两种模型的土壤流失值相似，但当坡度增加时，RUSLE 估计值仅为 USLE 的一半。该研究旨在评估该声明对复杂山坡剖面的有效性。为此，这两种模型都应用于八个不同的山区子流域。USLE 和 RUSLE 指数分别使用 SEAGIS 模型和欧洲数据集进行估计。考虑到整个盆地区域，LS 因子的比例为 3:1（即 USLE:RUSLE）。对于坡度 <20% 的区域，两种模型的总侵蚀估计值趋于一致。