Self-adaptive extraction method of tectonic movement change recorded by GNSS continuous observations

doi:10.11947/j.AGCS.2023.20220675

Abstract

Abstract: With the increase of spatial density and time span of GNSS observations, more and more abundant information including the time-dependent tectonic deformation has been presented in GNSS coordinate time series, which makes the traditional function model of GNSS coordinate timeseries fitting no longer have universal applicability. To overcome this problem, we propose an adaptive algorithm to extract the characteristics of tectonic deformation in GNSS coordinate timeseries. Firstly, a modified functional model of coordinate time series is constructed to characterize the variation characteristics of tectonic motion of GNSS stations and the adaptive algorithm of Bayesian framework is introduced to solve the time node of linear rate change as well as the posterior probability density function of parameters to obtain the optimal solution of parameters. Secondly, the coordinate time series of different noise levels and different piecewise linear rate differences are simulated. The accuracy of the linear rate and time nodes are analyzed. The results show that with the current GNSS daily positioning accuracy for the horizontal component, the calculated linear rate accuracy is 0.1 mm/a, the tectonic motion of more than 0.4 mm/a can be distinguished. The resolution of the tectonic motion change time node is related to the difference value of the tectonic motion, and its accuracy is 1.0 year when the difference value is 0.4 mm/a. is 1.0 years. Finally, the effectiveness of the method is verified by using the GNSS continuous observations on the northeastern corner of the Tibetan Plateau. At the forefront of the northeastern corner of the Tibetan Plateau, the regional tectonic kinematic variation characteristics that occurred in 2017 and the obstruction of northeastward movement are extracted.

Key words: GNSS coordinate timeseries, traditional functional model, modified functional model, tectonic movement change, self-adaptive extraction

CLC Number:

P227

SU Xiaoning, SHI Ruijuan, BAO Qinghua, ZHU Qing, MENG Guojie, YAN Haowen. Self-adaptive extraction method of tectonic movement change recorded by GNSS continuous observations[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(8): 1245-1254.

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