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中国科学院大学学报 ›› 2005, Vol. 22 ›› Issue (3): 352-358.DOI: 10.7523/j.issn.2095-6134.2005.3.014

• 论文 • 上一篇    下一篇

基于ISC、SCSN与CRN地震记录的地方时统计特征与频谱分析

冯向东1,2, 魏东平1   

  1. 1. 中国科学院研究生院计算地球动力学重点实验室, 北京 100049;
    2. 河北省地震局分析预报中心, 石家庄 050021
  • 收稿日期:2004-07-29 修回日期:2004-11-22 发布日期:2005-05-15
  • 基金资助:

    国家自然科学基金项目(40274035)资助

Local Time Statistical Character and Frequency Spectrum Analysis Based on ISC, SCSN and CRN Seismological Catalogues

FENG Xiang-Dong1,2, WEI Dong-Ping1   

  1. 1. Laboratory of Computational Geodynamics, Graduate school of the Chinese Academy of Sciences, Beijing 100049, China;
    2. Earthquake Administration of Hebei Province, Shijiazhuang 050021, China
  • Received:2004-07-29 Revised:2004-11-22 Published:2005-05-15

摘要:

首先对ISC、SCSN与CRN地震目录进行地方时转换,并进行序列统计,建立了地方时地震时间频度分布,然后对地震地方时序列做了频谱分析,以提取地震序列中的特征周期成分.地方时统计结果显示:(1)地震频度在地方时9时和19时附近最低,0时和13时附近最高;(2)存在以12h和24h为主的周期;(3)较大地震和小地震有不同的活动规律.频谱分析的结果表明,ISC、SCSN与CRN地震地方时序列除了存在12h、24h等特征周期对应日潮和半日潮之外,还存在117a、1a与175a等的周期,分别对应太阳黑子的活动周期、地球公转及接近对应月球升交点的回归年.

关键词: 地方时, 频谱分析, 地震频度

Abstract:

The ISC, SCSN and CRN seismic catalogue data are first transformed to the local time system and the sequence statistics are made, the time-occurring number of earthquakes are set up on the system of local time, and then the frequency spectrum analysis on the earthquake sequence is done to pick up information related to the characteristic period.The results indicate :(1)time-occurring number of earthquake is up to the maximum value at local time 0:00 AM and 1:00 PM while down to the minimum at local time 9:00AM and 7:00 PM ;(2)there are two typical periods of 12h and 24h;(3)The small earthquakes and large earthquakes are different in spatial and temporal distributions.The results of frequency spectrum analyses show that there are not only periods of 12h and 24h connectedwith the diurnal tide and the semidiurnal tide, respectively, but also the periods of 11.7a, 1a, and 17.5a connected with 11-year sunspot cycle, earth revolution, and nearly to ascending node tropical year of the moon, respectively.

Key words: local time, frequency spectrum analysis, earthquake number

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