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地震 ›› 2009, Vol. 29 ›› Issue (2): 64-72.

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前兆水位数据处理中的小波基及其参数选择方法研究

万永芳, 杨马陵   

  1. 广东省地震局, 广东 广州 510070
  • 收稿日期:2008-02-13 修回日期:2008-06-16 出版日期:2009-05-31 发布日期:2021-10-18
  • 作者简介:万永芳(1973-), 女, 江西南昌人, 2006年获硕士学位, 主要从事地下流体学和地震预报等研究。
  • 基金资助:
    广东省地震局青年地震科学基金项目

Selection Method of Wavelet Basis and its Parameters in Precursory Water Level Data Processing

WAN Yong-fang, YANG Ma-ling   

  1. Earthquake Administration of Guangdong Province, Guangzhou 510070, China
  • Received:2008-02-13 Revised:2008-06-16 Online:2009-05-31 Published:2021-10-18

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摘要： 在分析不同小波基函数特征的基础上, 详细阐述了前兆水位数据处理中小波基及其参数的选择问题, 针对多个水位测项进行了实例分析和比较。 得到如下结论: ① 在检测前兆水位数据的突变点或不规则的突变部分, 选择db6、 bior2.6、 rbio2.6、 sym4和sym6小波基效果较好, 其中选用双正交小波bior2.6效果最佳; ② 在小波变换分解层数的选取方面: 第1～2层多适用于突变异常信号的获得, 第5～6层多适用于缓变异常信号的提取; 对于数据跳变异常显著的时间段, 第4～6层能较好地还原被高频信息掩盖的趋势变化过程。

关键词: 前兆水位数据, 小波基, 参数选择, 高频信息

Abstract: On the basis of expounding the characteristics of different wavelet basis functions, this paper analyses the selection problem of wavelet basis and its parameters for precursory water level data processing and cases for several water level observation items are compared. It is concluded that the db6, bior2.6, rbio2.6, sym4 and sym6 wavelet basis are applicable to detect abrupt changes of precursory water level data, with the double orthogonal wavelet basis bior2.6 having the best result. On the selection of wavelet decomposing layer, the first and the second layers are suitable to get the abrupt change signals, while the fifth and the sixth layers are suitable to extract the slow variation signals, and the fourth to the sixth layers are applicable to recover the original trend process from the high-frequency information.

Key words: Precursory water level data, Wavelet basis, Parameter selection

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