大地测量与地球动力学2025，Vol.45Issue(9)：937-943,949,8.DOI:10.14075/j.jgg.2024.09.419
利用回归模型对gPhone重力仪漂移改正研究
gPhone Gravimeter Drift Correction Using Regression Model
摘要
Abstract
The linear or nonlin drift of the spring gravimeter must be addressed for the existing observation system based on spring gravimeters to monitor the long-term change signal of gravity.Simple linear fitting is usually difficult to simulate the real drift of the instrument over a long period of time,and too high-order fitting will also remove the trend change signal of the signal.This study introduces lin-ear and nonlinear drift correction models to more reasonably remove the drift.This study uses the data of the gPhone gravimeter at Zigui station in 2017 and the gPhone gravimeter at Wushi station in 2023 for analysis and verification.First,the correlation between each channel of Zigui station and the origi-nal gravity channel is analyzed,and the theoretical gravity effect of the Three Gorges water storage on the Zigui station is calculated with the results that reach more than 100 μGal.Then,the model coeffi-cients are obtained using a variety of regression analysis methods,and the residual results are studied after deducting various correction values and drift terms.The research results show that the changes in the internal pressure and temperature of the instrument are the main causes of gravity data drift.In the regression model used in this paper,the nonlinear regression model(pure quadratic regression)drift removal results can better reflect the gravity changes caused by water storage,and the residual effect obtained after smoothing is closer to theory than the conventional polynomial fitting method for drift removal.Similar conclusions were obtained by verifying the data from Wushi station.关键词
gPhone重力仪/漂移改正/回归模型Key words
gPhone gravimeter/drift correction/regression model分类
天文与地球科学引用本文复制引用
马娟娟,王乐行,江颖,刘子维,刘海波,张晓彤..利用回归模型对gPhone重力仪漂移改正研究[J].大地测量与地球动力学,2025,45(9):937-943,949,8.基金项目
中国地震局地震研究所和应急管理部国家自然灾害防治研究院基本科研业务费(IS202226326,WHYWZ202212). Scientific Research Fund of Institute of Seismology,CEA and National Institute of Natural Hazards,MEM,No.IS202226326,WHYWZ202212. （IS202226326,WHYWZ202212）
