Deformation Monitoring and Prediction of Large High-Level Landslide in Metamorphic Rock Area
Abstract Based on deformation monitoring results of certain large high-level landslides in metamorphic rock areas, we carry out existing deformation characteristics analysis and deformation development analysis. The results show that CEEMDAN-PSR-KELM-ARIMA model has strong applicability in landslide deformation prediction, the average range of relative error of the prediction results is 2.00%~2.03%, and its variance value is also small, with better prediction accuracy and stability. Its prediction grade is grade Ⅲ-orange prediction, which is in a relatively dangerous state. The landslide deformation rate has a decreasing trend, but the cumulative deformation will still increase.
Key words :
high-level landslide
decomposition
extreme learning machine
deformation prediction
Manner-Kendall analysis method
Cite this article:
LI Xiaobin,BAI Haijun. Deformation Monitoring and Prediction of Large High-Level Landslide in Metamorphic Rock Area[J]. jgg, 2023, 43(10): 1045-1050.
LI Xiaobin,BAI Haijun. Deformation Monitoring and Prediction of Large High-Level Landslide in Metamorphic Rock Area[J]. jgg, 2023, 43(10): 1045-1050.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2023/V43/I10/1045
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