| 前兆定点形变观测数据噪声分析 |
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| 引用本文： | 刘俊清,丁广,张晨侠,王雨萌.前兆定点形变观测数据噪声分析[J].地震地磁观测与研究,2013(5):182-187. |
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| 作者姓名： | 刘俊清 丁广 张晨侠 王雨萌 |
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| 作者单位： | [1]吉林省地震局,中国长春130117 [2]吉林大学地球探测科学与技术学院,中国长春130026 |
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| 基金项目： | 中国地震局监测预报司2012年度青年震情跟踪课题,任务批准号：2012020208感谢英国国家海洋中心SimonDPWilliams教授和美国USGS的John Langbein教授在数据处理中的帮助,感谢Simon D P Williams教授提供的CATS软件. |
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| 摘 要： | 地球物理研究表明,可以构造或选择合适的统计模型模拟观测噪声,从而了解噪声特性,获得噪声谱及其含量.对吉林省5个台站的倾斜观测共18个测项产出的时间序列进行噪声分析,结果表明,长期观测噪声可用带通噪声和随机游走噪声的组合模型模拟,短时间观测噪声可用谱指数介于-1至-2的幂律噪声模型模拟.该结论对定点形变观测噪声的认识、噪声源的研究以及地壳构造信息的提取具有参考意义.
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| 关 键 词： | 定点形变 噪声 功率普密度 最大似然估计 谱指数 |
The noise analysis of the time series of fixed deformation station |
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| Liu Junqing,Ding Guang,Zhang Chenxia,Wang Yumeng.The noise analysis of the time series of fixed deformation station[J].Seismological and Geomagnetic Observation and Research,2013(5):182-187. |
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| Authors: | Liu Junqing Ding Guang Zhang Chenxia Wang Yumeng |
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| Institution: | 1.Earthquake Administration of Jilin Province, Changchun 130117, China;College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China;) |
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| Abstract: | In the study about earthquake deformation monitoring,deformation time series contains many kinds of noise.Geophysical observations suggest that the measurement noise can be simulated by constructing or looking for the optimisticest statistical model,and got the noise characteristics by noise spectrum and its content.In this paper,the noise of 18 deformation monitoring time series from 5 ground tilt fixed deformation stations were studied and process.The conclusions show that the noise of a long-term time series can be simulated by a combination of band-pass noise plus random walk noise model,and the short time one can be better modeled using power law noise with a spectral index between-1 and-2.The conclusion of the noise of fixed point deformation data will have a great significance to noise characteristics recognising,noise source researching and crustal tectonic information extracting. |
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| Keywords: | fixed deformation station noise power spectrum density MLE spectrum index |
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