地震研究

通过计算GPS时间序列共模误差,对大华北地区(华北和东北)不同尺度的共模误差进行分析和讨论,结果表明:计算共模误差时可采用Stacking与 PCA方法相结合的方法,空间上需对测站进行细致挑选,区域面积在覆盖测站的条件下应尽可能小; 扣除随机噪声试验说明并非用任意噪声序列都能起到共模误差滤波的作用; 东北大尺度区域含有较多的框架误差成份,京津冀小尺度区域含有的共模误差成分比东北大尺度区域更多。

Through computing GPS time series Common Mode Error(CME),we analyze and discuss the CME of different scales in North China region.The results show that the station should be carefully selected when calculating the CME.The area should be as small as possible under the conditions of meeting the requirements of the full coverage of the stations.The method of Stacking and PCA can be used in the calculation method.Deducting the random noise test shows that it is not possible to use any noise sequence to play the role of CME.Large scale regions contain more frame error components.The small scale region of Jingjinji contains more CME components than the northeast large scale region.

引言
1 数据处理及研究方法
2 华北地区小区域尺度共模误差
3 东北地区大区域尺度共模误差
4 讨论
5 结论

图1 大华北地区GPS测站分布<br/>Fig.1 GPS station in the North China region

图1 大华北地区GPS测站分布
Fig.1 GPS station in the North China region

图2 鹤岗站原始(a)及预处理后(b)的GPS位移时间序列<br/>Fig.2 Original(a)and preprocessed(b)time series at Hegang Station

图2 鹤岗站原始(a)及预处理后(b)的GPS位移时间序列
Fig.2 Original(a)and preprocessed(b)time series at Hegang Station

图3 使用Stacking方法(a)及Stacking+PCA方法(b)得到的京津冀地区BJFS站共模误差<br/>Fig.3 The CME in Jingjinji region derived from Stacking(a)and BJFS station derived from Stacking+PCA(b)

图3 使用Stacking方法(a)及Stacking+PCA方法(b)得到的京津冀地区BJFS站共模误差
Fig.3 The CME in Jingjinji region derived from Stacking(a)and BJFS station derived from Stacking+PCA(b)

图4 天津蓟县经共模误差滤波前(a)、后(b)时序曲线<br/>Fig.4 JIXN time series before(a)and after(b)the CME filtering

图4 天津蓟县经共模误差滤波前(a)、后(b)时序曲线
Fig.4 JIXN time series before(a)and after(b)the CME filtering

表1 京津冀地区经共模误差滤波前、后时间序列离散度及变化幅度<br/>Tab.1 Time series dispersion and variation amplitude in Jingjinji region before and after the CME filtering

表1 京津冀地区经共模误差滤波前、后时间序列离散度及变化幅度
Tab.1 Time series dispersion and variation amplitude in Jingjinji region before and after the CME filtering

图5 东北地区大区域尺度共模误差<br/>Fig.5 The large area scale of CME in Northeast China

图5 东北地区大区域尺度共模误差
Fig.5 The large area scale of CME in Northeast China

表2 东北地区经共模误差滤波前、后时间序列离散度及变化幅度<br/>Tab.2 Time series dispersion and variation amplitude in Northeast China before and after the CME filtering

表2 东北地区经共模误差滤波前、后时间序列离散度及变化幅度
Tab.2 Time series dispersion and variation amplitude in Northeast China before and after the CME filtering

图6 天津蓟县经随机噪声滤波后时序曲线<br/>Fig.6 JIXN time series filtered by random noise

图6 天津蓟县经随机噪声滤波后时序曲线
Fig.6 JIXN time series filtered by random noise

图7 天津蓟县经京津冀共模误差(a)及东北共模误差(b)滤波后时序曲线<br/>Fig.7 JIXN time series filted by the CMEs of Jingjinji(a)and Northeast China(b)

图7 天津蓟县经京津冀共模误差(a)及东北共模误差(b)滤波后时序曲线
Fig.7 JIXN time series filted by the CMEs of Jingjinji(a)and Northeast China(b)

图8 京津冀地区与东北地区共模误差之差<br/>Fig.8 Difference between CME in Jingjinji region and CME in Northeast China

图8 京津冀地区与东北地区共模误差之差
Fig.8 Difference between CME in Jingjinji region and CME in Northeast China

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备注

引言

1 数据处理及研究方法

2 华北地区小区域尺度共模误差

3 东北地区大区域尺度共模误差

4 讨论

5 结论

期刊信息