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Propertyvariation and Statistical Analysis of Sichuan GPS Time Series before and after Wenchuan Earthquake
详细信息   
摘要
In order to explore the long-term influence of seismic event on the GPS time series,10yr long processing results from Sichuan GPS network were used for the multi-parameter noise model analysis.Based on the Maximum Likelihood Estimator method and spectrum analysis,the noise components in the station coordinate time series were extracted,and through Λ-statistic test,we found ’white noise+flicker noise’ is the best combination that can best fit the Sichuan local area network,meanwhile,an apparent variation in the noise component of GPS,including white noise,flicker noise,and random walk noise,occurred before and after the seismic event,which demonstrates that the traditional processing mode which simply splice and resolve the preseismic and postseismi data together is unacceptable.The common mode error analytical method and velocity variation information were all used for the initial physical interpretation of such apparent noise component change.

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