首页 | 本学科首页   官方微博 | 高级检索  
     

重力极潮的小波分析
引用本文:徐华君, 柳林涛, 许厚泽, 胡小刚. 重力极潮的小波分析[J]. 武汉大学学报 ( 信息科学版), 2008, 33(11): 1114-1117.
作者姓名:徐华君  柳林涛  许厚泽  胡小刚
作者单位:1中国科学院测量与地球物理研究所,武汉市徐东大街340号430077;2中国科学院研究生院,北京市玉泉路甲19号,100039
摘    要:分别分析Brussels台站的观测记录,首先扣除数据序列中的合成潮得到重力残差,接着用小波带通滤波器将残差滤波,得到256~512 d时间尺度上的序列,然后运用最小二乘法估算Chandler和周年项的潮汐因子。由于小波滤波器能更有效地消除仪器漂移,计算结果具有更小的均方差,更加可靠。

关 键 词:小波滤波  重力长期变化  极潮  重力残差
收稿时间:2008-09-11
修稿时间:2008-09-11

Wavelet Approach to Study Gravity Pole Tide
XU Huajun, LIU Lintao, XU Houze, HU Xiaogang. Wavelet Approach to Study Gravity Pole Tide[J]. Geomatics and Information Science of Wuhan University, 2008, 33(11): 1114-1117.
Authors:XU Huajun  LIU Lintao  XU Houze  HU Xiaogang
Affiliation:1Institute of Geodesy and Geophysics,Chinese Academy of Sciences,340 Xudong Road,Wuhan 430077,China;2Graduate School,Chinese Academy of Sciences,19A Yuquan Road,Beijing 100039,China
Abstract:Wavelet analysis for filtering is used to improve estimation of gravity variations induced by Chandler and annual wobble.This method eliminates noise in superconducting gravimeter(SG) records with band pass filters derived from Daubechies wavelet.The SG records at Brussels are analyzed.First,the Earth tides are removed from the observed data by using synthetic tides,and then the gravity residuals are filtered into a narrow period band of 256-512 d by a wavelet band pass filter.These data are submitted to least-square method for estimating the gravimetric factor of the Chandler and annual wobble.After processed by wavelet filtering,SG records can provide amplitude factors δ and phase lags κ of the two wobbles with much smaller mean square deviation(MSD) than these provided by former studies.It is mainly because the wavelet method can effectively eliminate instrumental drift and provide smoothed data series for the regression analysis.
Keywords:wavelet filter  secular gravity variations  polar tide  residual gravity
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《武汉大学学报(信息科学版)》浏览原始摘要信息
点击此处可从《武汉大学学报(信息科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号