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由震群信息熵分析山东及沿海地区的地震危险性
引用本文:赵兴兰,李艳顺.由震群信息熵分析山东及沿海地区的地震危险性[J].地震地磁观测与研究,1992,13(4):1-8.
作者姓名:赵兴兰  李艳顺
作者单位:山东省地震预报研究中心,烟台地震监测中心,山东省地震预报研究中心,烟台地震监测中心,山东省地震预报研究中心 中国济南 250021,中国济南 250021,中国济南 250021
摘    要:本文利用震群信息熵概念,通过对山东及沿海地区16次震群的分析、研究,初步探讨了震群信息熵在该区地震中期预报中的应用及未来地震的危险性。同时,应用震群综合指标对1976年春在长岛发生的两次震群进行了分析研究。结果表明:1976年春在长岛附近发生的黑山、砣矶震群均为前兆震群。两个前兆震群所对应的大震是相隔4、5个月之后的1976年7月28日河北唐山7.8级地震。

关 键 词:震群信息熵  前兆震群  地震群  预报

ANALYZING EARTHQUAKE HAZARD IN SHANDONG PROVINCE AND SURROUNDINGS BY SWAM INFORMATION ENTROPY
Zhao Xinglan,Hua Aijun,Xiao Lanxi,Li Yanshun,Guo Yingqi Central Forecasting Office of Seismological Bureau of Shandong Province,Jinan ,China Seismologicai Monitoring Center of Yantai,Shandong Province Yantai ,China.ANALYZING EARTHQUAKE HAZARD IN SHANDONG PROVINCE AND SURROUNDINGS BY SWAM INFORMATION ENTROPY[J].Seismological and Geomagnetic Observation and Research,1992,13(4):1-8.
Authors:Zhao Xinglan  Hua Aijun  Xiao Lanxi  Li Yanshun  Guo Yingqi Central Forecasting Office of Seismological Bureau of Shandong Province  Jinan  China Seismologicai Monitoring Center of Yantai  Shandong Province Yantai  China
Institution:Zhao Xinglan,Hua Aijun,Xiao Lanxi,Li Yanshun,Guo Yingqi Central Forecasting Office of Seismological Bureau of Shandong Province,Jinan 250021,China Seismologicai Monitoring Center of Yantai,Shandong Province Yantai 26400,China
Abstract:Using the conception of swarm information entropy, we research sixteen ear-thquake swarms and approach earthquake hazard in Shandong Province a and sur-roundings and application of swarm information entropy medium range forecast.Making use of earthquake swarm comprehensive indexes, we study the two swar-ms on the Changdao, which occurred in spring, 1976. The results show that Hei-Shah and Tuoji earthquake swarms, which occurred on the Changdao area in thespring, 1976, are precursory swarms. Corresponding large earthquake of two pre-cursory swarms is Tangshan earthquake with M=7. 8, which occurred on July 28,1976.
Keywords:Swarm information entropy  Precursory swarm  Characteristic index  Probability assess
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