草地植被覆盖度坡度及雨强对坡面径流含沙量影响试验研究

发布时间：2018-07-28 15:35

【摘要】：为研究植被修复状态下径流含沙量变化。该试验运用人工模拟降雨试验方法,分析了径流含沙量草被调控效益变化。结果:1)不同降雨强度或坡度下,平均径流含沙量随草被盖度的增大而减小,草被盖度从30%~70%,含沙量分别降低约10或5 kg/m3,可用线性方程显著描述。草被消减雨强对径流含沙量影响大于草被消减坡度的。平均径流含沙量随降雨强度或坡度的增大而增大,分别可用幂函数或指数函数方程显著描述,决定系数在0.5或0.8以上。2)基于单位水流功率建立幂函数模型决定系数为0.940,模型有效系数为0.986,说明模型模拟精度都较高。3)基于坡度、雨强和盖度建立指数函数模型决定系数为0.937,模型有效系数为0.894,说明模型模拟精度都较高。该研究可以预测草地坡面含沙量,为生态建设和流域管理提供指导。
[Abstract]:In order to study the change of runoff sediment content under vegetation restoration. In this experiment, the change of regulated benefit of runoff sediment content was analyzed by artificial simulated rainfall test method. Results: (1) under different rainfall intensity or slope, the average runoff sediment content decreased with the increase of coverage. The coverage of grass decreased by 10 or 5 kg / m ~ (3) from 30 ~ 70 to 5 kg / m ~ (3), which could be described by linear equation. The effect of rainfall intensity on runoff sediment content is greater than that of grass subtractive slope. The average runoff sediment content increases with the increase of rainfall intensity or slope, which can be described by power function or exponential function equation. The determination coefficient of the model is 0.940 and the effective coefficient of the model is 0.986, which shows that the simulation accuracy of the model is higher than that of the model. The determination coefficient of the exponential function model and the effective coefficient of the model are 0.937 and 0.894 respectively, which indicates that the simulation accuracy of the model is high. This study can predict the sediment content on grassland slope and provide guidance for ecological construction and watershed management.
【作者单位】：西北农林科技大学水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室;中国科学院水利部水土保持研究所;
【基金】：国家自然科学基金资助项目(41471230,41171227) 国家重点研发计划(No.2016YFC0402401) 黄土高原土壤侵蚀与旱地农业国家重点实验室专项经费项目(A314021403-C2)
【分类号】：S157

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