Multi-scale expression of spatial activity anomalies of earthquakes and its indicative significance on the space and time attributes of strong earthquakes  

作　　者：裴韬 杨明 张讲社 周成虎 骆剑承 李全林 

机构地区：[1]State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China [2]Faculty of Science,Xi'an Jiaotong University,Xi'an 710049,China [3]Institute of Geophysics,CSB,Beijing 100081,China

出　　处：《Acta Seismologica Sinica(English Edition)》2003年第3期292-303,共12页

基　　金：National Nature Science Founation of China (40101021) ;the 863 Program (2002AA135230) ;the Innovation Founation of CAS (CXIOG-D00-06).

摘　　要：The noise modei based on 6 trous wavelet algorithm produces a multi-scale expression of image through the combination of wavelet transform and a testing modei of statistical significance. This kind of expression not only gives the formation and location of image structure on different scales, but also eliminates the influence of noise. Since the algorithm does not need any priori hypotheses, it is suitable for the data with complex structure. The research line is employed in this paper to analyze the spatial activity of earthquake. The method of how to recognize and describe the multi-scale space activity of earthquake is emphatically discussed in this paper. Taking typical sequences in Southwest China as research cases, we systematically study the structure characters of spatial activity of earthquake on different scales. Results show that multi-scale space structure to some extent possesses indicative effect on strong epicenters. And the foreshock anomalies of Songpan seismic sequence also reveal interesting pattern during the spatial-temporal evolvement.The noise modei based on 6 trous wavelet algorithm produces a multi-scale expression of image through the combination of wavelet transform and a testing modei of statistical significance. This kind of expression not only gives the formation and location of image structure on different scales, but also eliminates the influence of noise. Since the algorithm does not need any priori hypotheses, it is suitable for the data with complex structure. The research line is employed in this paper to analyze the spatial activity of earthquake. The method of how to recognize and describe the multi-scale space activity of earthquake is emphatically discussed in this paper. Taking typical sequences in Southwest China as research cases, we systematically study the structure characters of spatial activity of earthquake on different scales. Results show that multi-scale space structure to some extent possesses indicative effect on strong epicenters. And the foreshock anomalies of Songpan seismic sequence also reveal interesting pattern during the spatial-temporal evolvement.

关 键 词：noise model á trous vvavelet algorithm foreshock anomaly seismic sequence 

分 类 号：P315[天文地球—地震学]