| 基于小波变换对地磁场变化特征的分析 |
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| 引用本文： | 田文通,孙军杰,陈双贵,闫万生.基于小波变换对地磁场变化特征的分析[J].西北地震学报,2013,35(S1):73-77. |
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| 作者姓名： | 田文通 孙军杰 陈双贵 闫万生 |
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| 作者单位： | 中国地震局兰州地震研究所, 甘肃兰州 730000,中国地震局兰州地震研究所, 甘肃兰州 730000,中国地震局兰州地震研究所, 甘肃兰州 730000,中国地震局兰州地震研究所, 甘肃兰州 730000 |
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| 基金项目： | 甘肃省地震科技发展基金(2012082);中国地震局地震预测研究所基本科研业务专项(2013IESLZ01);中国地震局三结合基金(2010203) |
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| 摘 要： | 选用db5小波基函数对嘉峪关、兰州两个台站地磁垂直分量Z进行了小波分解,分析了不同台站间低频(概貌部分)和高频(细节部分)的相关性。结果显示:地磁Z分量在不同台站低频成分相关性较好,而高频部分相关性不明显,其高频部分可能与当地地下介质、地下电导率水平以及观测环境密切相关。
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| 关 键 词： | 地磁台 地磁垂直分量 小波变换 变化特征 |
| 收稿时间： | 2013/5/3 0:00:00 |
Research on Variation Characteristics of Geomagnetic Field Based on Wavelet Transform |
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| TIAN Wen-tong,SUN Jun-jie,CHEN Shuang-gui and YAN Wan-sheng.Research on Variation Characteristics of Geomagnetic Field Based on Wavelet Transform[J].Northwestern Seismological Journal,2013,35(S1):73-77. |
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| Authors: | TIAN Wen-tong SUN Jun-jie CHEN Shuang-gui and YAN Wan-sheng |
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| Institution: | Lanzhou Institute of Seismology, CEA, Lanzhou Gansu 730000, China,Lanzhou Institute of Seismology, CEA, Lanzhou Gansu 730000, China,Lanzhou Institute of Seismology, CEA, Lanzhou Gansu 730000, China and Lanzhou Institute of Seismology, CEA, Lanzhou Gansu 730000, China |
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| Abstract: | It is an important basic work to correctly identify the variation characteristics of the background field of the geomagnetic data. In this article, a wavelet decomposition was conducted to the geomagnetic vertical component Z of Jiayuguan station and Lanzhou station by using DB5 wavelet basis function, and then the relativity between low frequency (overview section) part and high frequency (detail section) part of two stations was analyzed. The results show that:the geomagnetic Z component between low frequency components of different stations are well related, while the correlation between high frequency components, which may be closely related to the local underground medium, underground conductivity and observation environment, is not obvious. |
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| Keywords: | Geomagnetic Station geomagnetic vertical component wavelet transform variation characteristics |
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