Analysis Of Earthquake Distribution Area Characteristics Based On Time-Space Influence Domain

Seismologists find that the occurrence of the seismic events are not random, nor are isolated, In fact, they are inextricably linked to each other. Seismic activity can be seen as an intrinsic dynamic behavior of the network. In 2004, Abe research team firstly introduced complex network to the research of earthquake, and expressed seismic events, even relationship between them by earthquake network. In recent years earthquake network has become a hot topic in the field of complex network.Firstly, the thesis introduces an earthquake network construction method based on time series proposed by Abe research team, even how to define the rules of node and edge of the method, and points out the shortcomings of it. Secondly, an earthquake network construction method based on time-space influence domain is put forward by our lab, which is introduced in the thesis. At the same time, there is a description of defining the rule of node in this method in detail, especially the difference of two kinds of methods about the rule of edge. The earthquake network construction method based on time-space influence domain has some characteristics, such as scale-free, small-world, assortativity. And then, we focus on the centrality of earthquake network from two aspects. The first aspect is to analyze the similarities and differences between the centrality of earthquake network and the centrality of other complex networks by contrast. From the second aspect we find that a positive correlation between the outdegree and the degree, a positive correlation between the outdegree and magnitude. Geographic areas represented by both the between centrality and the closeness centrality of nodes are 0, are influenced by other geographic areas, moreover, they can not influence the others. While the between centrality of nodes not simply are 0, but also the closeness centrality of those are 1, geographic areas represented by them are earthquake-induced areas. At last, from the perspective of seismic energy to analyze the regional seismic distribution, we put forward a new node aggregation method, the strong shock node has been seen as the main shock node, nodes are connected with each other based on the definition of the main shock type earthquake sequence, and we quantitatively analyze the time-space distribution of network energy after nodes aggregation for identifying the distribution regular of earthquake. We use seismic data in Sichuan Province to build the earthquake network and analyze it by node aggregation method. There are five new sets of nodes after node aggregation, the energy accumulation for each set of nodes has different periodicity, and the center coordinates of them distribute in the LongMenshan Mountain fault zone.Through the analysis of regional earthquake distribution characteristics based on earthquake network, the conclusions we obtained not only have important reference value for the research of the seismic phenomenon, but also provide a new exploration for earthquake prediction.