Prediction model of landslide displacement in reservoir area based on VMD-GRA-BP considering frequency factor
In order to reduce the possible losses caused by landslide instability in the reservoir area and ensure the safety of hydropower projects and people,the method of improving the prediction accuracy of landslide displacement in the reservoir ar-ea is discussed.A landslide displacement prediction method combining frequency factor(FF)and variational mode decompo-sition-grey relational analysis-back propagation neural network(VMD-GRA-BP)model is proposed and applied to land-slides in the Three Gorges Reservoir area.The results show that FF has a certain improvement on the prediction effect of peri-odic displacement component.The VMD-GRA-BP model can simplify the prediction of landslide displacement in complex nonlinear reservoir area.The BP model has high prediction performance,and the prediction accuracy is mostly higher than those of support vector machine(SVM)and k-nearest neighbor(KNN)models.The research results can provide reference for the landslide displacement prediction and early-warning in the reservoir areas.
reservoir area landslidefrequency factor(FF)VMD-GRA-BP modeldisplacement prediction
万方数据
维普
