首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Comparison between the USLE, the USLE-M and replicate plots to model rainfall erosion on bare fallow areas
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Comparison between the USLE, the USLE-M and replicate plots to model rainfall erosion on bare fallow areas

机译:在USLE,USLE-M和重复图之间进行比较以模拟裸露休耕区的降雨侵蚀

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摘要

It has been proposed that the best physical model of erosion from a plot is provided by a replicate plot (Nearing, 1998). Event data from paired bare fallow plots in the USLE database were used to examine the abilities of replicate plots, the USLE and the USLE-M to model event erosion on bare fallow plots. The Nash-Sutcliffe efficiency factor as applied to logarithmic transforms of the data was used to evaluate the overall performance of models at a number of locations. The value of this efficiency factor is influenced by both systematic and stochastic differences between the pairs. Systematic differences are the result of systematic differences in event runoff or event sediment concentration or both, and the degree of the impact of them varies as the regression coefficient for the relationship between the soil losses from the pairs varies from the value of 1.0. In most cases the replicate model performed better than the USLE-M that modelled event soil loss as a product of observed event runoff and event sediment concentration directly related to the EI30 index. Generally, failure of replicates to match runoff was compensated by the ability of the replicated to determine sediment concentrations better than the USLE-M. (C) 2016 Elsevier B.V. All rights reserved.
机译:有人提出,由一个重复的样地提供一个样地侵蚀的最佳物理模型(Nearing,1998)。来自USLE数据库中成对的裸休耕地的事件数据用于检查重复样地,USLE和USLE-M建模裸休耕地的事件侵蚀的能力。应用于数据对数转换的Nash-Sutcliffe效率因子用于评估许多位置的模型的整体性能。该效率因子的值受线对之间系统和随机差异的影响。系统差异是事件径流或事件沉积物浓度或两者的系统差异的结果,它们的影响程度随成对土壤流失之间的关系的回归系数从1.0的值而变化。在大多数情况下,复制模型的性能优于USLE-M,后者将事件土壤流失建模为观察到的事件径流和事件沉积物浓度与EI30指数直接相关的乘积。通常,复制品无法匹配径流的能力是通过复制品确定沉积物浓度的能力优于USLE-M来弥补的。 (C)2016 Elsevier B.V.保留所有权利。

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