Research on an Integrational Scheme of Large-Scale GNSS Network Data Processing and Establishment of the Horizontal Grid Velocity Field Model in Chinese Mainland
Abstract:In view, not only of the challenges facing the large-scale GNSS network in data preprocessing, organization and management, selection of reference stations, processing strategies, partition schemes and quality evaluation, but also the limitation of the existing velocity field model such small data, poor continuity and timeliness, we present an integrational scheme for large-scale GNSS network data processing and establish the horizontal grid velocity field model in Chinese mainland. Based on observation data of more than 260 continuous operation reference stations in crustal movement observation network of China(CMONOC) from 2011 to 2017, we first discuss the integrated scheme of large network data processing, then give the optimization principle and quality evaluation mode for large-scale GNSS network data processing, and analyze the different evaluation strategies of the computed results, which plays an important role in high-precision data processing of a large-scale GNSS network. Finally, based on the velocity field of high-precision ITRF2014, the Kriging interpolation model is applied to construct the horizontal grid velocity field model of Chinese mainland. We utilize the accurate velocity field of all IGS stations and the regional stations to assess our results of the horizontal grid velocity field in Chinese mainland. The average and medium error of the horizontal residual velocity of the two results are less than 2 mm/a, which indicates besides good timeliness and simplicity. Therefore, the accuracy and reliability of the model can meet the requirements of users.
WANG Hu,REN Yingying,LIAN Lizhen et al. Research on an Integrational Scheme of Large-Scale GNSS Network Data Processing and Establishment of the Horizontal Grid Velocity Field Model in Chinese Mainland[J]. jgg, 2020, 40(9): 881-887.