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河北邢台余震窗地震活动对华北地区6级以上地震的预测反应 被引量:1

Predicted Correspondence of Seismic Activity in Aftershock Window of 1966 Xingtai,Hebei,Earthquake to Earthquakes Larger Than M6 in the North China
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摘要 文中简要介绍了1966年河北邢台地震发震的构造背景。在选取合理的地震参数确立余震窗后,分析了余震窗地震月频次的变化特征对研究华北地区6级以上地震的反应。发现,余震活动出现月频次过程异常对应华北地区6级地震成组活动或震群活动;单点高值频次异常则对应单发6级地震。 In this paper, the tectonic background where the 1966 Xingtai,Hebei, earthquake occurred is briefly reviewed. An aftershock window is set up, based on reasonable seismic parameter selection. The relation between variation characteristics of monthly frequency of earthquakes in aftershock window and earthquakes larger than M6 in the North China is analyzed. It is found that anomalies appeared in monthly frequency of aftershock activity usually correspond to groups of earthquakes of M6 or earthquake swarms, on the other hand, a single high frequency point usually corresponds to a single earthquake of M6.
出处 《山西地震》 2007年第2期13-15,共3页 Earthquake Research in Shanxi
关键词 余震窗 构造背景 河北邢台 异常 Aftershock window Tectonic background Xingtai of Hebei Anomaly
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  • 1徐杰 方仲景 杨理华.1966年邢台7.2级地震构造背景和发震构造.地震地质,1988,10(4):51-59.
  • 2姜秀娥,张国民,单锦芬,等."地震窗"在地震预报中的应用[M]∥国家地震局科技监测司编.地震预报方法实用化研究文集(地震学专集).北京:学术书刊出版社,1989.296-311.
  • 3陆远忠,李胜乐,邓志辉,等.基于GIS的地震分析预报软件系统[CP/CD],2002.

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  • 1姜秀娥,张国民,单锦芬,王惠敏.1989.“地震窗”在地震预报中的应用[G]//国家地震局科技监测司编.地震预报方法实用化研究文集(地震学专辑).北京:学术书刊出版社:296—311.
  • 2许绍燮.1989.地震预报能力评价[G]//国家地震局科技监测司编.地震预报方法实用化研究文集(地震学专辑).北京:学术书刊出版社:586—590.
  • 3Akaike H. 1973. Information theory and an extension of the maximum likelihood principle[C]//Petrov B N, Csaki F eds. 2nd International Symposium on Information Theory. Budapest: Akademiai Kiado: 267 281.
  • 4Barndori'f-Nielsen O, Schou G. 1973. On the parametrization of autoregressive models by partial autocorrelations[J]. J Multivariate Anual, 3(3): 408-419.
  • 5Bartlett MS. 1946. On thetheoreticalspecification ofsampling properties of autoeorrelated time series[J]. J R Stat Soc, B8(27): 20-47.
  • 6Box G, Pierce D. 1970. Distribution of residual autocorrelationsin ARIMA time series models[J]. J Am Star Assoc, 65 (332), 1509 1526.
  • 7Dickey D, Fuller W. 1979. Distribution of the estimators for autoregressive time series with a unit root[J]. J Am Stat Assoc, 74(336) : 427-431.
  • 8Divine D V, Polzehl J, Godtliebsen F. 2008. A propagation-separation approach to estimate the autocorrelation in a time- series[J]. Nonlinear Processes Geophysics, 15(4) : 591-599.
  • 9Findley D F, Monsell B C, Bell W R, Otto M C, Chen B C. 1998. New capabilities and methods of the X-12-ARIMA seasonal adjustment program[J]. Journal of Business and Economic Statistics, 16(2) : 127-177.
  • 10Fischer ]3. 1995. Decomposition of Time Series :Comparing Different Methods in Theory and Practice[R]. Eurostat Working Group Document: 20-96.

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