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Detection and interpretation of the time-varying seasonal signals in China with multi-geodetic measurements

Geodesy and Geodynamics 2025年第1期16卷 42-54页

作者： Liansheng Deng Yugang Xiao Qusen Chen Wei Peng Zhao Li Hua Chen Zhiwen Wu School of Electrical and Electronic Information Engineering Hubei Polytechnic University Hubei Luojia Laboratory GNSS Research Center Wuhan University Changjiang Spatial Information Technology Engineering Co. Ltd. Key Laboratory of Spatial Data Mining & Information Sharing of the Ministry of Education Fuzhou University School of Geodesy and Geomatics Wuhan University The First Surveying and Mapping Institute of Hunan Province

The time-varying periodic variations in Global Navigation Satellite System(GNSS) stations affect the reliable time series analysis and appropriate geophysical interpretation. In this study, we apply the singular spectrum analysis(SSA) method to characterize and interpret the periodic patterns of GNSS deformations in China using multiple geodetic datasets. These include 23-year observations from the Crustal Movement Observation Network of China(CMONOC), displacements inferred from the Gravity Recovery and Climate Experiment(GRACE), and loadings derived from Geophysical models(GM). The results reveal that all CMONOC time series exhibit seasonal signals characterized by amplitude and phase modulations, and the SSA method outperforms the traditional least squares fitting(LSF) method in extracting and interpreting the time-varying seasonal signals from the original time series. The decrease in the root mean square(RMS) correlates well with the annual cycle variance estimated by the SSA method, and the average reduction in noise amplitudes is nearly twice as much for SSA filtered results compared with those from the LSF method. With SSA analysis,the time-varying seasonal signals for all the selected stations can be identified in the reconstructed components corresponding to the first ten eigenvalues. Moreover, both RMS reduction and correlation analysis imply the advantages of GRACE solutions in explaining the GNSS periodic variations,and the geophysical effects can account for 71% of the GNSS annual amplitudes, and the average RMS reduction is 15%. The SSA method has proved to be useful for investigating the GNSS timevarying seasonal signals. It could be applicable as an auxiliary tool in the improvement of nonlinear variations investigations.

关键词： GNSS coordinate time series Singular spectrum analysis Time-varying seasonal signals loading effects GRACE

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High-voltage transmission tower-line system subjected to disaster loads

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Progress in Natural Science:Materials International 2006年第9期16卷 899-911页

作者： LI Hongnan and BAI Haifeng ( State Key Laboratory of Coastal and Offshore Engineering, School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China China Railway No. 9 Group Co., Ltd., Shenyang 110013, China) [a]State Key Laboratory of Coastal and Offshore Engineering School of Civil and Hydraulic Engineering Dalian University of Technology Dalian China [b]China Railway No.9 Group Co. Ltd. Shenyang China

The high-voltage power transmission system is an important lifeline structure. It is significant for wide researches on the features and ability of the system subjected to earthquake and environmental loads. The promising prosperity of the system has been demonstrated around the world. The corresponding advances of the system with respect to the mechanism of loading action, analytical methods, experimental research measurements, structural vibration control, fatigue damage, lifetime prediction, and design methods are comprehensively discussed herein. Finally, further research work on dynamic response characteristics of high-voltage transmission tower-line system in the near future is predicted.

关键词： high-voltage power transmission tower-line system loading effects dynamic analysis experimental researches design theories.

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