基于复杂网络的历史地震时空分布及异常分析
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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。
To study the influence of seismic anomaly on the earthquake prediction 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. 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.
To study the influence of seismic anomaly on the earthquake prediction 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. 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.
引文
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[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.
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