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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| creator | Wang, Wei Ma, Qin-zhong Lin, Ming-zhou Wu, Geng-feng Wu, Shao-chun |
| description | 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] |
| doi_str_mv | 10.1007/s11589-005-0035-7 |
| format | Article |
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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]</description><identifier>ISSN: 1000-9116</identifier><identifier>ISSN: 1674-4519</identifier><identifier>EISSN: 1993-1344</identifier><identifier>EISSN: 1867-8777</identifier><identifier>DOI: 10.1007/s11589-005-0035-7</identifier><language>chi ; eng</language><publisher>Beijing: Springer Nature B.V</publisher><subject>China ; Earthquake prediction ; Earthquakes ; Reduction ; Relativity ; Seismic activity ; Seismic engineering ; Seismic phenomena ; Seismicity ; Synthesis</subject><ispartof>Acta seismologica sinica, 2005-09, Vol.18 (5), p.562-571</ispartof><rights>Acta Seismologica Sinica 2005</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/dizhen-e/dizhen-e.jpg</thumbnail><link.rule.ids>314,780,784,27915,27916</link.rule.ids></links><search><creatorcontrib>Wang, Wei</creatorcontrib><creatorcontrib>Ma, Qin-zhong</creatorcontrib><creatorcontrib>Lin, Ming-zhou</creatorcontrib><creatorcontrib>Wu, Geng-feng</creatorcontrib><creatorcontrib>Wu, Shao-chun</creatorcontrib><title>Primary component analysis method and reduction of seismicity parameters</title><title>Acta seismologica sinica</title><description>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. 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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]</abstract><cop>Beijing</cop><pub>Springer Nature B.V</pub><doi>10.1007/s11589-005-0035-7</doi><tpages>10</tpages></addata></record> |
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| subjects | China Earthquake prediction Earthquakes Reduction Relativity Seismic activity Seismic engineering Seismic phenomena Seismicity Synthesis |
| title | Primary component analysis method and reduction of seismicity parameters |
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