The inversion of heterogeneous characteristics of seismic source is an important field in strong earthquake seismology at present.
利用地震记录反演震源非均匀特征是目前强震地震学研究中的一个重要的课题。
Compared to traditional research on earthquake sequence in seismology, data mining is applied to earthquake prediction, and sequential pattern is used to earthquake sequences.
与地震学中地震序列研究相比,将数据挖掘的应用拓展到地震预报中,通过序贯模式来研究广义地震序列。
Spectrum magnitude of an earthquake is an important source parameter of earthquake size in seismology research.
谱震级是表征地震强弱的量度,是地震学研究中的一个重要的地震参数。
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