Primary component analysis method and reduction of seismicity parameters
In the paper, the primary component analysis is made using 8 seismicity parameters of earthquake frequency N (M l≥3.0), b-value, η-value, A(b)-value, Mf-value, Ac-value, C-value and D-value that reflect the characteristics of magnitude, time and space distribution of seismicity from different respec...
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Veröffentlicht in: | Acta seismologica sinica 2005-09, Vol.18 (5), p.562-571 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext |
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Zusammenfassung: | In the paper, the primary component analysis is made using 8 seismicity parameters of earthquake frequency N (M l≥3.0), b-value, η-value, A(b)-value, Mf-value, Ac-value, C-value and D-value that reflect the characteristics of magnitude, time and space distribution of seismicity from different respects. By using the primary component analysis method, the synthesis parameter W reflecting the anomalous features of earthquake magnitude, time and space distribution can be gained. Generally, there is some relativity among the 8 parameters, but their variations are different in different periods. The earthquake prediction based on these parameters is not very well. However, the synthesis parameter W showed obvious anomalies before 13 earthquakes (M ^sub S^≥5.8) occurred in North China, which indicates that the synthesis parameter W can reflect the anomalous characteristics of magnitude, time and space distribution of seismicity better. Other problems related to the conclusions drawn by the primary component analysis method are also discussed.[PUBLICATION ABSTRACT] |
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ISSN: | 1000-9116 1674-4519 1993-1344 1867-8777 |
DOI: | 10.1007/s11589-005-0035-7 |