双重约束条件下的连续重力观测非线性漂移改正方法分析
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摘要
连续重力观测去除固体潮后所得重力残差结果,除了受仪器故障、自然因素、人为因素以及供电系统干扰外,弹簧重力仪的长期漂移也成为重力变化的重要影响因素,故漂移改正不可忽略。本文以高台地震台近5年的连续重力观测资料为数据基础,采用多阶多项式拟合法,并以驰豫分析结果和流动重力场结果为约束,研究弹簧重力仪的非线性漂移特征及其漂移改正的合理性。研究结果表明:高台重力仪的线性和非线性漂移特征明显,严重影响了其他微弱重力信号的提取,而驰豫分析处理结果和流动重力场成为有效地辅助约束手段,在其双重制约下进行非线性漂移改正,使所得重力非潮汐结果更为准确可靠,为地震预测预报提供较为准确的参考依据。
Drift correction is important since gravity residuals, aside from interference due to instrument and power failure and natural and human factors, are strongly influenced by long-term drift. In this study, continuously observed gravity data from a recent five-year period at Gaotai seismic station were analyzed. Nonlinear drift characteristics of the spring gravimeter, and the rationality of corresponding drift correction using the multinomial polynomial fitting method, are discussed. Results of the relaxation analysis and the mobile gravity observation showed that the linear and nonlinear drift characteristics of the PET gravimeter at Gaotai seismic station were clear. This seriously influenced the extraction of other weak gravity signals. Nonlinear drift correction was carried out under the double constraints of relaxation analysis and mobile gravity observation. The obtained residual gravity was more accurate and reliable. This study can provide a more accurate reference for future earthquake prediction.
Drift correction is important since gravity residuals, aside from interference due to instrument and power failure and natural and human factors, are strongly influenced by long-term drift. In this study, continuously observed gravity data from a recent five-year period at Gaotai seismic station were analyzed. Nonlinear drift characteristics of the spring gravimeter, and the rationality of corresponding drift correction using the multinomial polynomial fitting method, are discussed. Results of the relaxation analysis and the mobile gravity observation showed that the linear and nonlinear drift characteristics of the PET gravimeter at Gaotai seismic station were clear. This seriously influenced the extraction of other weak gravity signals. Nonlinear drift correction was carried out under the double constraints of relaxation analysis and mobile gravity observation. The obtained residual gravity was more accurate and reliable. This study can provide a more accurate reference for future earthquake prediction.
引文
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[11] 周江存,孙和平,徐建桥.用地表和空间重力测量验证全球水储量变化模型[J].科学通报,2009,54(9):1282-1289.ZHOU Jiangcun,SUN Heping,XU Jianqiao.Validating Global Hydrological Models by Ground and Space Gravimeter[J].Chinese Science Bulletin,2009,54(9):1282-1289.
[12] 孙文科,长谷川宗,张新林,等.高斯滤波在处理GRACE数据中的模拟研究:西藏的重力变化[J] .中国科学(地球科学),2011,41(9):1327-1333SUN Wenke,HASEGAWA T,ZHANG Xinlin,at el.Effects of Gaussian Filter in Processing GRACE Data:Gravity Rate of Change at Lasha,Southern Tibet[J],cientia Sinica(Terrae),2011,41(9):1327-1333.
[2] 韦进,刘高川,李辉,等.弹簧式连续重力观测非线性漂移影响因素分析[J].大地测量与地球动力学,2012,32(5):137-142.WEI Jin,LIU Gaochuan,LI Hui,et al.Analysis of Non-linear Drift of Spring Gravimeter[J].Journal of Geodesy and Geodynamics,2012,32(5):137-142.
[3] SUNW K,WANG Q,LI H,et al.Gravity and GPS Measurements Reveal Mass Loss beneath the Tibetan Plateau:Geodetic Evidence of Increasing Crustal Thickness[J].Geophysical Research Letters,2009,36(2):L02303.
[4] SUNW K,WANG Q,LI H,et al.A Reinvestigation of Crustal Thickness in the Tibetan Plateau Using Absolute Gravity,GPS and GRACE Data[J].Terrestrial,Atmospheric and Oceanic Sciences,2011,22(2):109-119.
[5] 羊锴,韦进.基于连续重力观测数据应用平台的数据预处理[J].中国科技信息,2015,11:72-73.YANG Kai,WEI Jin.The Date Preprocessing of Application Platform based on Continuous Gravity Observation Data[J].China Science and Technology Information,2015,11:72-73.
[6] 邢乐林,李辉,夏正超,等.CG-5重力仪零漂特性研究[J].地震学报,2010,32(3):369-373.XING Lelin,LI Hui,XIA Zhengchao,et al.Study on Zero Drift Characteristics of CG-5 Gravimeter[J].Acta Seismologica Sinica,2010,32(3):369-373.
[7] RICCARDI U,ROSAT S,HINDERER J.Comparison of the Micro-g LaCoste gPhone-054 Spring Gravimeter and the GWR-C026 Superconducting Gravimeter in Strasbourg (France) Using a 300-day Time Series[J].Metrologia,2011,48(1):28-39.
[8] 徐伟民,陈石,高孟潭,等.中国大陆重力场非潮汐时空变化特征的初步分析[J].地球物理学进展,2012,27(3):861-871.XU Weimin,CHEN Shi,GAO Mengtan,et al.The Preliminary Analysis to the Temporal Variation Characteristics of Non-tidal Changes of Gravity in Mainland China[J].Progress in Geophysics,2012,27(3):861-871.
[9] KANG K X,LI H,PENG P,et al.Seasonal Variations in Hydrological Influences on Gravity Measurements Using gPhones[J].Terrestrial,Atmospheric and Oceanic Sciences,2011,22(2):157-168.
[10] 徐纪人.潮汐因子变化与1976年松潘地震[J].地壳形变与地震,1983,38-43.XU Jiren.Tidal Factor Changes and the 1976 Songpan Eearthquake[J].Crustal Deformation and Earthquake,1983,38-43.
[11] 周江存,孙和平,徐建桥.用地表和空间重力测量验证全球水储量变化模型[J].科学通报,2009,54(9):1282-1289.ZHOU Jiangcun,SUN Heping,XU Jianqiao.Validating Global Hydrological Models by Ground and Space Gravimeter[J].Chinese Science Bulletin,2009,54(9):1282-1289.
[12] 孙文科,长谷川宗,张新林,等.高斯滤波在处理GRACE数据中的模拟研究:西藏的重力变化[J] .中国科学(地球科学),2011,41(9):1327-1333SUN Wenke,HASEGAWA T,ZHANG Xinlin,at el.Effects of Gaussian Filter in Processing GRACE Data:Gravity Rate of Change at Lasha,Southern Tibet[J],cientia Sinica(Terrae),2011,41(9):1327-1333.
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