Research on Slope Deformation Prediction of the Dingdong Reservoir
Predicting reservoir slope deformation is of great significance for ensuring the safe operation of reservoir dams.This paper aims to improve the accuracy of reservoir slope deformation predictions and provide technical support for the safe operation of reservoir dams.The PSO-GM(1,1)method is employed,where the Particle Swarm Optimization(PSO)algorithm is introduced into the grey prediction model.By utilizing the global optimization capability and fast convergence of the PSO algorithm to optimize background values and parameters,the prediction accuracy is enhanced.Using the monitoring data of the Dingdong Reservoir slope as a sample,the PSO-GM(1,1)model is constructed for case analysis.The results show that the model's predicted values match well with the actual measurements,demonstrating high prediction accuracy in the short term.This can provide accurate reference data for decision-making in reservoir slope protection.The research results not only provide technical support for the safe operation of the Dingdong Reservoir but also lay a theoretical foundation for slope deformation prediction in similar projects.
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