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

doi:10.3969/j.issn.1006-2475.2014.12.001

Abstract

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

CLC Number:

TP391

JIA Sui-min, HU Ming-sheng, JIA Zhi-juan. Spatio-temporal Trend and Seismic Anomaly of Historical Earthquake Based on Complex Network[J]. Computer and Modernization, 2014, 0(12): 1-5.

References

[1] 胡明生,贾志娟,雷利利,等. 基于共现分析的历史自然灾害关联研究[J]. 计算机工程与设计, 2013,34(6):2015-2019.

[2] 胡明生,贾志娟,雷利利,等. 基于复杂网络的灾害关联建模与分析[J]. 计算机应用研究, 2013,30(8):2315-2318.

[3] 平建军,罗兰格,曹肃朝. 华北地区地震异常前兆信息场演化特征及其与地震关系的研究[J]. 中国地震, 2000,16(3):223-232.

[4] 宋正海. 中国古代重大自然灾害和异常年表总集[M]. 广州:广东教育出版社, 1992.

[5] 胡明生,贾志娟,刘思,等. 基于蚁群优化的历史灾害关联分析方法[J]. 计算机应用与软件, 2012,29(10):62-64.

[6] 汪小帆,李翔,陈关荣. 网络科学导论[M]. 北京:高等教育出版社, 2012.

[7] Hu Mingsheng, Jia Zhijuan, Dong Xiangying, et al. A historical epidemic classification method based on simulated annealing and ACO[J]. International Journal of Advancements in Computing Technology, 2011,3(6):47-54.

[8] 季学伟,翁文国,赵前胜. 突发事件链的定量风险分析方法[J]. 清华大学学报(自然科学版), 2009,49(11):1749-1752.

[9] 王铎. 基于关联度的突发事件网络模型研究[D]. 大连:大连理工大学, 2010.

[10] Wang Wenxu, Yang Rui, Lai Yingcheng, et al. Time-series-based prediction of complex oscillator networks via compressive sensing[J]. EPL, 2011,94(4):48006-p1-48006-p6.

[11] 门可佩. 重大地震灾害链的时空有序性及其预测研究[J]. 地球物理学进展, 2007,22(2):645-651.

[12] 吴绍春,吴耿锋,王炜,等. 寻找地震相关地区的时间序列相似性匹配算法[J]. 软件学报, 2006,17(2):185-192.

[13] 邱剑锋,谢娟,李炜,等. 中强地震的相关性与周期性研究[J]. 计算机工程, 2011,37(10):16-18.

[14] Candes E J, Romberg J, Tao T. Stable signal recovery from incomplete and inaccurate measurements[J]. Communications on Pure and Applied Mathematics, 2006,59(8):1207-1223.

[15] Wang Wenxu, Yang Rui, Lai Yingcheng, et al. Predicting catastrophes in nonlinear dynamical systems by compressive sensing[J]. Physical Review Letters, 2011,106(15):154101-1-154101-4.

[16] Wang Wenxu, Lai Yingcheng, Grebogi C, et al. Network reconstruction based on evolutionary-game data via compressive sensing[J]. Physical Review X, 2011,1(2):021021-1-021021-7.

[17] Szabo G, Toke C. Evolutionary prisoner’s dilemma game on a square lattice[J]. Physical Review E, 1998,58(1):69-73.