计算机与现代化 ›› 2014, Vol. 0 ›› Issue (12): 1-5.doi: 10.3969/j.issn.1006-2475.2014.12.001

• 人工智能 •    下一篇

基于复杂网络的历史地震时空分布及异常分析

  

  1. (郑州师范学院信息科学与技术学院,河南 郑州 450044)
  • 收稿日期:2014-11-11 出版日期:2014-12-22 发布日期:2014-12-22
  • 作者简介:贾遂民(1968-),男,河南新郑人,郑州师范学院信息科学与技术学院副教授,研究方向:复杂网络与智能计算; 胡明生(1973-),男,河南信阳人,教授,博士,研究方向:复杂网络与数据挖掘; 贾志娟(1973-),女,河南郑州人,教授,硕士,研究方向:计算机网络。
  • 基金资助:
    国家自然科学基金资助项目(U1204703); 河南省重点科技攻关项目(122102310004)

Spatio-temporal Trend and Seismic Anomaly of Historical Earthquake Based on Complex Network

  1. (College of Information Science & Technology, Zhengzhou Normal University, Zhengzhou 450044, China)
  • Received:2014-11-11 Online:2014-12-22 Published:2014-12-22

摘要: 为了研究地震异常对地震预测及震后引发次生灾害的影响,收集整理1911年之前的历史地震数据,建立中国历史地震数据库。通过对地震及地震异常的关联分析建立复杂网络模型,根据网络模型提出每种地震异常的重要性及每次地震危害度的计算方法,并以此研究地震异常与地震之间的内部关联,最后通过网络模型的数据分析研究历史地震的时空走势。实验结果表明通过复杂网络研究历史地震的可行性,为地震研究提供了新的方法。

关键词: 历史地震, 复杂网络, 地震异常, 危险性评估, 时空分布

Abstract: To study theinfluence of seismic anomaly on the earthquake prediction Experimental results show that, the studying of complex network according to historical earthquake has feasibility, and it provides a new method for the research on earthquake. and secondary disasters, historical earthquake data prior to the 1911 is collected, and the Chinese historical earthquake database is built based on the earthquake data. The complex network model is built by the association analysis between earthquake and seismic anomaly, calculation methods for the importance of seismic anomaly and the hazard degree of earthquake are proposed to study the internal correlation between earthquake and seismic anomaly according to the network model, finally, the data analysis of network model is used to research the spatio-temporal trend.

Key words: historical earthquake, complex network, seismic anomaly, hazard assessment, spatio-temporal trend

中图分类号: