Singular Spectrum Analysis for Dam Deformation Time Series

doi:10.13474/j.cnki.11-2246.2018.0281

Abstract

Abstract:

In order to study the properties of dam deformation and corrsponding influence factors,we extract the trend and periodic components of deformation series by singular spectrum analysis(SSA).The correlation coefficient between the components and the aging,temperature and water level factors are calculated.Experimental results show that the dam has creep and periodic elastic deformation.Among them,the creep is mainly related to the time efficiency factor.The periodic elastic deformation is mainly related to the period of temperature and water level factors.Besides,the contribution of the temperature factor to the elastic deformation is greater than the water level factor.The deformation series of the dam are fitted and predicted by the trend and period of extraction.The fitting and prediction errors are 0.52 and 0.24 mm.The traditional multiple regression model is used to fit and predict,the errors are 0.81 and 0.57 mm,respectively.The results show that in this study the singular spectrum analysis can predict the dam deformation more accurately than traditional multiple linear regression method.

Key words: singular spectrum analysis, dam deformation analysis, deformation prediction

CLC Number:

P258

LI Shiyou, WANG Fengwei, SHEN Yunzhong. Singular Spectrum Analysis for Dam Deformation Time Series[J]. 测绘通报, 2018, 0(9): 64-68.

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