Construction and Application of Seismic Real-Time Data Analysis Model Based on GPS Monitoring

Abstract

GPS (global position system) monitoring has great theoretical and practical significance for understanding regional crustal deformation and disaster prevention and mitigation. Based on the GPS system differential model, this paper builds a seismic real-time data analysis model and discusses and analyzes the GNSS (global navigation satellite system) single-system single-difference model, single-system double-difference model, and dual-system double-difference model. When the model is processing the data of the GNSS dual-satellite positioning system, the proposed short-baseline ambiguity solution is studied to a certain extent and solves the problems that other common methods can only detect large cycle slips or require dual-frequency data. During the simulation process, through the study of the GPS coordinate time series, the stability of the site, the periodic change of the site, the movement law of the plate, and other information can be analyzed. The combined method is used to estimate the station noise, coordinate time series parameters, and the station velocity, and then the influence of the common mode error on the station noise, parameter estimation, and station velocity estimation is studied. The experimental results show that the average magnitude of white noise and colored noise decreases by 31.61% and 42.28%, respectively, which effectively reduces the uncertainty of parameter estimation and the uncertainty of station velocity estimation.