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地震前兆观测资料的分形处理方法 被引量:6

Algorithms for Self-affine Fractals and Application in Time Series of Geophysical and Geochemical Data
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摘要 本文从自仿射分形的角度探讨地震前兆观测资料的分形处理方法。在对自仿射分形的分维量测方法进行对比分析的基础上,给出了处理地震前兆观测资料较为适用的分形方法和满足计算需要的样本点数。从对部分水氡和地电阻率资料进行的处理分析中,得到了有益的启示:地震前兆时序观测资料可用分形方法处理分析,分维值(或H值)可反映观测资料的结构变化特征,其作为一个无量纲量为综合对比分析各类前兆现象,探讨地震前兆场的复杂性特征提供了有效的途径。 In this paper, methods specifically intended to measure the fractal dimension of self-affine series are compared through the approximation experiments of self-affine fractal. The appropriate methods and sample number for time series of geophysical and geochemical data are presented. A roughness-length method is applied in analysis of observation data in earth resistivity and radon content of groudwater. It is shown that the fractal theory can be applied in the analysis of time series of geophysical and geochemical data. The fractal dimension or Hvalue, as a dimensionless parameter, describes the curve shape character of various observation data. It provides an effective way to explore the complexity of earthquake percursors and to research the relation of enormous precursory phenomena.
出处 《中国地震》 CSCD 北大核心 1994年第1期47-53,共7页 Earthquake Research in China
基金 地震科学联合基金
关键词 地震前兆 观测数据 分形处理 Radon Earth resistivity Self-affine fractal Fractional Brownian motion Fractal dimension
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