植被与边坡稳定性
边坡稳定性
理论(学习稳定性)
土壤科学
腐蚀
地质学
表面粗糙度
地质统计学
骨料(复合)
环境科学
空间变异性
地貌学
岩土工程
材料科学
数学
统计
机器学习
复合材料
计算机科学
作者
Shangxuan Zhang,Long Li,Zhizhuo Zhu,Peng Zhang
出处
期刊:Water
[MDPI AG]
日期:2024-02-22
卷期号:16 (5): 648-648
被引量:10
摘要
Natural rainfall affects the stability of soil aggregates by the kinetic energy of the rain changing the morphological characteristics of slope micro-topographic factors. Although the relationship between the stability of soil aggregates and micro-topography is not very significant at the slope scale, there are also rules to be found. This study aims to explore the relationship between slope micro-topography and aggregate stability, and to observe the spatial distribution of aggregate stability after water erosion. In this study, a digital elevation model of slope micro-topography was established by using a three-dimensional laser scanner to observe the slope erosion changes after rainfall events and clarify the spatial changes of soil aggregate stability and its relationship with slope micro-topography by combining geostatistics and generalized additive model (GAM). The results showed that the area of serious water erosion in the lower part of the slope accounted for 38.67% of the slope, and the micro-topography index of the slope changed obviously after rainfall, with the slope increasing by 3.1%, the surface roughness increasing by 5.34%, the surface cutting degree increasing by 26.67%, and the plane curvature decreasing by 61.7%. In addition, the GAM model was used to fit the multivariate variables. The results revealed that the slope and surface roughness were the key factors affecting the stability of water-stable aggregate. The slope and surface roughness were negatively correlated with the stability of water-stable aggregates.
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