摘要
根据南极中山站地磁台2005年的地磁观测数据,运用小波分析方法——小波熵复杂度对地磁场观测数据进行了分析,其小波熵序列与时间序列的变化完全一致,表明小波熵序列能够表征地磁场变化程度及变化范围.进一步研究发现,小渡熵序列具有阶段特性,反映了地磁场变化在不同的过程中具有不同的变化性质及内容;当地磁场观测数据的幅度整体削减时,小波熵值整幅增大,但小波熵序列的特征完全一致,说明小波熵非常好地反映了地磁场观测数据的幅度与频率的变化,能够揭示地磁场变化的内在规律.因此,可以借助地磁场观测数据的小波熵复杂度计算来反演地球及其外围空间的动力学特征.
Based on the 2005＇s geomagnetic observation data from the South Pole Zhongshan Station geomagnetic observatory, I have carried an analysis of using wavelet transform method ——— wavelet entropy complexity to the geomagnetic observation data. The wavelet entropy sequence is completely consistent with the function of time change, indicating that the wavelet entropy sequence can characterize the geomagnetic variation degree and variation range. Further research suggests that the wavelet entropy sequence has a feature of stages, reflects the geomagnetic field has different variation natures and contents in different processes. When the geomagnetic observation data reduces in amplitude, the wavelet entropy value increases, but the characteristics of wavelet entropy sequence are completely consistent. It explains that the wavelet entropy can reflect the geomagnetic observation data＇s amplitude and the frequency variations very well, This can reveal the inherent laws of the geomagnetic variation. Therefore, one can draw a conclusion from the geomagnetic observation data by calculating its wavelet entropy complexity to predict the kinetic behavior of the Earth or its periphery space.
出处
《地球物理学进展》
CSCD
北大核心
2010年第5期1605-1611,共7页
Progress in Geophysics
关键词
地磁场变化
小波变换
熵
复杂度
geomagnetic variation, wavelet transform, entropy , complexity
