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    极端降雨条件下黄土沟壑区细沟侵蚀形态特征

    Characteristics of rill erosion morphology in loess gully region under extreme rainfall conditions

    • 摘要: 不同条件下细沟形态各不相同。研究细沟形态参数可以准确表征细沟侵蚀规律。通过人工模拟降雨试验和三维激光扫描技术,采用90 mm/h降雨强度和(5°、7.5°、10°和15°)4种坡度,分别对坡面产流产沙规律与细沟形态变化特征进行深入研究。结果表明:1)随坡度增加,坡面初始产流时间相对延后;细沟侵蚀阶段相比片蚀阶段,平均径流量分别增加14%、47%、41%和56%,平均产沙率分别增加3.2、14.5、7.5和17.8倍;细沟发育以沟头溯源侵蚀为主,并伴随剧烈的崩塌。2)细沟宽度、深度波动范围较大,细沟宽深比总体呈减小的趋势,细沟表面积、细沟体积与平均横截面积大小表现为15° > 7.5° > 10° > 5°。3)细沟发育完成后,等高线偏移度在4~10 m处显著增大,地表粗糙度主要在中下坡增加,地表粗糙度大小与细沟的复杂程度密切相关。4)坡面总产沙量与细沟体积呈极显著正相关关系,坡面总径流量与细沟平均宽深比具有显著正相关关系。研究结果可为定量研究细沟侵蚀及生态保护提供一定的理论支持。

       

      Abstract:
      Background The distribution of rill erosion is widespread in the Loess Plateau where rill erosion is serious and its morphology is complex. Rill erosion causes soil nutrient loss, farmland area reduction and seriously endangering ecological security. The rill morphology varies under different rainfall and slope conditions, studying the rill morphology parameters may accurately characterize the erosion regulations.
      Methods Using artificially simulated rainfall test and three-dimensional laser scanning technology, 90 mm/h rainfall intensities and four slope gradients (5°, 7.5°, 10° and 15°) for test conditions. All data were obtained and analyzed by ArcGIS 10.4 and SPSS 25 software, and Origin 2024 was used for result analysis and graphing.
      Results 1) With the increase of slope gradient, the initial flow generation time of slope relatively delayed. Rill erosion stage compared to the sheet erosion stage, the average runoff increased 14%, 47%, 41% and 56%, the average sediment yield increased 3.2, 14.5, 7.5 and 17.8 times respectively, the rill morphology development was dominated by head-to-head erosion and accompanied by severe collapse. 2) The width and depth of a rill fluctuated widely, the ratio of rill width to depth presented a decreasing trend in general, the rill surface area, rill volume and average cross-sectional area were 15° > 7.5° > 10° > 5°. 3) After the completion of rill development, the contour deviation increased significantly at 4-10 m in location, the surface roughness mainly increased in the middle and lower slope, and slope surface roughness was closely related to the complexity of the rill. 4) There was a significant positive correlation between total sediment yield and rill volume, the total runoff of the slope had a significant positive correlation with the average width to depth ratio of rill.
      Conclusions The rill is widely distributed on the Loess Plateau, and rill morphological characteristics are complex in different regions, so selecting appropriate morphological parameters is of great important for quantitatively characterizing rill erosion. The results and tests method may provide some theoretical supports for quantitative study of rill erosion and ecological protection.

       

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