Dataset of bank soil parameters and stochastic modelling of bank erosion processes in the Middle Yangtze River

A probabilistic process-based model of bank erosion has proposed, embedding the probability distributions of different bank soil parameters. The dataset includes the spatial distribution characteristics of critical shear stress, friction angle, and cohesion. The prediction results analyzed the effects of soil erosion resistance capacity and the variability of shear strength parameters in the simulation of bank erosion processes, obtaining the probability of mass failure and the distributions of bank erosion width. Additionally, the study investigated the effect of varying water content on bank erosion modeling and further analyzed how considering more influencing factors in the model affects prediction uncertainty and accuracy. Moreover, the relationship between the variability of these factors and river morphology was discussed. The dataset provides the aforementioned prediction results, and relevant plots were generated using MATLAB or Python, with the associated plotting code also uploaded.本研究提出了一种基于概率过程的岸坡侵蚀模型，该模型嵌入了各类岸坡土壤参数的概率分布。本数据集包含临界剪应力（critical shear stress）、内摩擦角（friction angle）及黏聚力（cohesion）的空间分布特征。基于该模型的预测结果分析了土壤抗侵蚀能力与抗剪强度参数变异性对岸坡侵蚀过程模拟的影响，得到了岸坡整体失稳概率以及侵蚀宽度的分布规律。此外，本研究探讨了含水率变化对岸坡侵蚀建模的影响，并进一步分析了在模型中纳入更多影响因素时对预测不确定性与精度的影响。同时，本研究还讨论了上述参数变异性与河流地貌形态之间的关联。本数据集提供了上述全部预测结果，相关可视化图表均通过MATLAB或Python生成，配套的绘图代码也一并上传。