期刊信息
- 刊名： 河北师范大学学报（自然科学版）Journal of Hebei Normal University (Natural Science)
- 主办： 河北师范大学
- ISSN： 1000-5854
- CN： 13-1061/N
- 中国科技核心期刊
- 中国期刊方阵入选期刊
- 中国高校优秀科技期刊
- 华北优秀期刊
- 河北省优秀科技期刊
基于武汉超导数据的非潮汐信息信号提取方法研究
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1. 华北理工大学 矿业工程学院, 河北 唐山 063009;
2. 武汉大学 测绘学院, 湖北 武汉 430077 -
DOI：10.13763/j.cnki.jhebnu.nse.2019.06.008
Studying the Extraction Method of the Non-tidal Signal Information Based on Superconducting Gravimeter Recorded at Wuhan Station
摘要/Abstract
摘要：
随着超导重力仪观测精度的提高，重力潮汐信号中非潮汐信号的提取更为方便.对武汉国际重力潮汐基准台GWR-C032型超导重力仪记录的1998年1~6月的重力潮汐数据，采用傅里叶变换、别尔采夫滤波和日均值3种方法提取重力非潮汐信号，提取的非潮汐信号幅值变化分别为-38~+37，-46~+43，-50~+48 nm/s2，幅值变化范围均小于10 μGal，并在此基础上对3种方法所提取的结果在频率域内进行功率谱分析，其分析结果与时间域分析结果一致.
Abstract：
With the improvement of the observating accuracy of the superconducting gravity meter,non-tidal signals based on the consecutive gravity observations have been easily obtained.In this paper,the hourly continuous gravitational observation data from Jan.to Jun.in 1998 of the GWR-C032 superconducting gravimeter at Wuhan station are analyzed to extract the non-tidal components.In order to precisely extract the non-tidal components,Fourier transform,Pertesv's filtering and Daily mean methods are used to remove the tidal gravity component.It shows that the changes of amplitude of non-tidal components obtained using the three methods are -38~+37,-46~+43 and -50~+48 nm/s2,respectively as the amplitude variation range is less than 10 μGal.On this basis,the power spectrum of the results of the three methods are analyzed in the frequency domain,the results of the analysis are consistent with that obtained using the time domain method.
关键词
Key words：
non-tidal components
;
Fourier transform
;
daily mean
;
Pertesv's filtering
;
power spectrum analysis
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