| Rediscussion on the seismic regime network |
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| 作者姓名： | 王泽皋 孙佩卿 高景春 李淑莲 张雪 郭妍 |
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| 作者单位： | Seismological Bureau of Hebei Province，Shijiazhuang 050021，China |
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| 摘 要： | ＲｅｄｉｓｃｕｓｓｉｏｎｏｎｔｈｅｓｅｉｓｍｉｃｒｅｇｉｍｅｎｅｔｗｏｒｋＺｅ－ＧａｏＷＡＮＧ（王泽皋）；Ｐｅｉ－ＱｉｎｇＳＵＮ（孙佩卿）；Ｊｉｎｇ－ＣｈｕｎＧＡＯ（高景春）；Ｓｈｕ－ＬｉａｎＬＩ（李淑莲）；ＸｕｅＺＨＡＮＧ（张雪）ａｎｄＹａｎＧＵＯ...
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| 收稿时间： | 16 January 1993 |
| 修稿时间： | 25 September 1993 |
Rediscussion on the seismic regime network |
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| Ze-Gao WANG, Pei-Qing SUN, Jing-Chun GAO, Shu-Lian LI, Xue ZHANG and Yan GUO.Rediscussion on the seismic regime network[J].Acta Seismologica Sinica(English Edition),1994,7(3):369-377. |
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| Authors: | Ze-Gao WANG Pei-Qing SUN Jing-Chun GAO Shu-Lian LI Xue ZHANG and Yan GUO |
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| Institution: | (1) Seismological Bureau of Hebei Province, 050021 Shijiazhuang, China |
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| Abstract: | On the basis of the past research and utilization on the windows and belts of seismic regime, the seismic regime network which
has been supposed and proved in the past is set up by using the monthly frequency data of small earthquakes from 1970 to 1991
over the whole country. Through checking its function in practice, it is found that the spatial distribution of precursor
information is not an isolate window or belt, but a broad precursor information field before theM
s≥7.0 earthquakes in China and its nearby regions. According to the windows and belts in the field, synchronism and generality
of initial time and place of prediction, the comprehensive prediction of activity time periods of groups of strong earthquakes
and the detail method of correspondence of groups are proposed. After restrict mathematical test, 10 prediction methods for
references are set forth, in which two best methods are selected as references for the whole case prediction in one to three
years. Some related problems are discussed at the end of this paper.
The paper is translated from Chinese into English by Dr. Xian-Fu DU and improved by Professer Shao-Xie XU of Institute of
Geophysics, SSB. |
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| Keywords: | seismic regime network seismic precursor information field comprehensive prediction period of activity time |
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