云南流动重力观测中相对重力仪漂移估计方法  

The Estimation Method of the Zero Drift of the Relative Gravimeter in High-precision Time-varying Gravity Observation in Yunnan

作　　者：黄江培 杜家云 曹颖[1] 郑秋月 刘东 吴宇琴 王青华[1] HUANG Jiangpei;DU Jiayun;CAO Ying;ZHENG Qiuyue;LIU Dong;WU Yuqing;WANG Qinghua(Yunnan Earthquake Agency,Kunming 650224,Yunnan,China;Mile Earthquake Agency,Mile 652399,Yunnan,China)

机构地区：[1]云南省地震局,云南昆明650024 [2]弥勒县地震局,云南弥勒652399

出　　处：《地震研究》2023年第4期511-520,共10页Journal of Seismological Research

基　　金：中国地震局震情跟踪定向工作(2023010222).

摘　　要：针对在陆地百千米以上的时变流动重力观测网络中,相对重力仪非线性漂移率和仪器性能偏差是影响观测结果精度的主要误差来源这一问题,以1990—2022年云南流动重力观测数据为例,对比传统最小二乘平差方法和贝叶斯平差方法得到的非线性漂移率结果,系统测评了贝叶斯估计方法对于提高重力平差结果精度的有效性。结果表明,可以通过贝叶斯优化方法给出合适的仪器权重和非线性漂移率,减少多台相对重力仪性能差异造成的误差和传统线性漂移计算方法造成的有效漂移遗失,提高平差结果的精度。In the time-varying gravity observation network covering hundreds kilometers of land,the nonlinear drift rate of the relative gravimeter and the instrument performance deviation are the main error sources that affect the accuracy of the observational results.In this paper,the drift rates of the mobile-gravity observational data from 1990 to 2022 in Yunnan are calculated respectively with the Bayesian gravity adjustment method and the traditional least squares adjustment method.Then the non-linear dirft rate results from these two methods are compared,and the effectiveness of the Bayesian estimation method in improving the accuracy of gravity adjustment results is systematically evaluated.The results show that the appropriate instrument weight and nonlinear drift rate can be given by the Bayesian optimization method,in order to reduce the error caused by the performance difference of multiple relative gravimeters,and reduce the effective-drift loss caused by the traditional linear drift calculation method.In this way the accuracy of the adjustment results is improved.

关 键 词：漂移率 贝叶斯估计 流动重力观测 平差结果 云南 

分 类 号：P315.62[天文地球—地震学]