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A Method of Strain Rate Calculation Based on GNSS Time Series and Its Accuracy Analysis
by
Li, Cao
, Fan, Lei
, Yang Kaijun
, Weiping, Jiang
in
Accuracy
/ Change detection
/ Correlation analysis
/ Earth and Environmental Science
/ Earth Sciences
/ Earthquake damage
/ Earthquakes
/ Geophysics/Geodesy
/ Mutation
/ Normal distribution
/ Outliers (statistics)
/ Satellite observation
/ Shear strain
/ Step functions
/ Strain rate
/ Tectonics
/ Time series
/ Velocity
2023
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A Method of Strain Rate Calculation Based on GNSS Time Series and Its Accuracy Analysis
by
Li, Cao
, Fan, Lei
, Yang Kaijun
, Weiping, Jiang
in
Accuracy
/ Change detection
/ Correlation analysis
/ Earth and Environmental Science
/ Earth Sciences
/ Earthquake damage
/ Earthquakes
/ Geophysics/Geodesy
/ Mutation
/ Normal distribution
/ Outliers (statistics)
/ Satellite observation
/ Shear strain
/ Step functions
/ Strain rate
/ Tectonics
/ Time series
/ Velocity
2023
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A Method of Strain Rate Calculation Based on GNSS Time Series and Its Accuracy Analysis
by
Li, Cao
, Fan, Lei
, Yang Kaijun
, Weiping, Jiang
in
Accuracy
/ Change detection
/ Correlation analysis
/ Earth and Environmental Science
/ Earth Sciences
/ Earthquake damage
/ Earthquakes
/ Geophysics/Geodesy
/ Mutation
/ Normal distribution
/ Outliers (statistics)
/ Satellite observation
/ Shear strain
/ Step functions
/ Strain rate
/ Tectonics
/ Time series
/ Velocity
2023
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A Method of Strain Rate Calculation Based on GNSS Time Series and Its Accuracy Analysis
Journal Article
A Method of Strain Rate Calculation Based on GNSS Time Series and Its Accuracy Analysis
2023
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Overview
Our study is based on 68 continuous GNSS observation data time series in Sichuan-Yunnan covering 4 years. We detected and deleted the outliers according to the IQR law of skewness, and the world’s first Heaviside step function model of crustal strain sequence was built. In the meantime, the sequence of crustal strain was calculated, and a correlation analysis of the strain sequence of micro dynamic information was made. It was found that strain sequence is consistent with the linear trend of the tectonic movement, yet its steady state is damaged after geophysical events, e.g., earthquakes. Finally, a method of linear fitting way for a precise strain rate field based on strain time series was proposed, and the correctness of this method was verified from the algorithm and the experiment. Compared with other current commonly used methods, it was found that detecting changes of the strain slope is more sensitive than the method of only using the GNSS time series to detect changes in the slope. It was shown that the method is more accurate than the other current methods for micro dynamic strain rate field.
Publisher
Pleiades Publishing,Springer Nature B.V
Subject
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