USDA-ARS Grazinglands Research Laboratory, El Reno, OK 73036, USA.
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China.
Sci Total Environ. 2018 Jun 1;625:920-927. doi: 10.1016/j.scitotenv.2017.12.345. Epub 2018 Jan 12.
Tracking sediment source and movement is essential to fully understanding soil erosion processes. The objectives of this study were to identify dominant erosion process and to characterize the effects of upslope interrill erosion on downslope interrill and rill erosion in a preformed interrill-rill system. A coarse textured soil with 2% clay and 20% silt was packed into a physical model of a scaled small watershed, which was divided into eight topographic units and was tagged with eight rare earth element (REE) oxides. Three 30-min rains were made at the sequential intensities of 60, 90, and 120mmh, and runoff and sediment were collected every 2min at the outlet. REE concentration in sediment was measured and used to estimate source contributions after fine-enrichment correction. Results showed that interrill erosion rate and sediment concentration increased with downslope distance, indicating that sediment transport might have controlled interrill erosion rates. In contrast, rill erosion rate was limited by rill detachment and development process. Rill erosion contributed most soil loss; however, the proportion decreased from 78 to 61% as rainfall intensity increased and rill network matured over three rains. Interrill erosion was more sensitive than rill erosion to rainfall intensity increases. The former was mostly affected by rainfall intensity in this experimental setup, while the latter was controlled by flow discharge, gradient, and rill evolution stage. The greatest sediment concentration and delivery rate occurred in the stage of the fastest rill development. The increased sediment delivery from interrill areas appeared to suppress rill detachment by concentrated flow. This study enhanced our understanding of interrill and rill erosion processes and provided the scientific insights for improving soil erosion models.
跟踪泥沙来源和运移对于全面了解土壤侵蚀过程至关重要。本研究的目的是识别主要侵蚀过程,并描述上坡壤蚀对下坡壤蚀和沟蚀的影响,在一个预先形成的壤沟系统中。用含有 2%粘土和 20%粉砂的粗质地土壤填充物理模型的一个小型流域,该流域分为 8 个地形单元,并标记了 8 种稀土元素(REE)氧化物。在连续的 60、90 和 120mmh 强度下进行了 3 次 30 分钟的降雨,在出口处每 2 分钟收集一次径流和泥沙。测量泥沙中的 REE 浓度,并在精细富集校正后用于估计源贡献。结果表明,壤蚀率和泥沙浓度随下坡距离的增加而增加,表明泥沙输移可能控制壤蚀率。相反,沟蚀率受沟蚀脱离和发展过程的限制。沟蚀贡献了大部分土壤流失;然而,随着降雨强度的增加和三次降雨中沟网的成熟,其比例从 78%下降到 61%。壤蚀对降雨强度的增加比沟蚀更敏感。在该实验设置中,前者主要受降雨强度的影响,而后者受流量、坡度和沟蚀演化阶段的控制。最大的泥沙浓度和输送率出现在沟蚀发展最快的阶段。来自壤蚀区的增加的泥沙输送似乎抑制了集中水流引起的沟蚀脱离。本研究增强了我们对壤蚀和沟蚀过程的理解,并为改进土壤侵蚀模型提供了科学见解。