This paper has introduced the spatial distance method to analyze the distribution features of earthquakes quantitatively.The seismic distribution factor ZK defined in this paper can be used to identify the type of sei...This paper has introduced the spatial distance method to analyze the distribution features of earthquakes quantitatively.The seismic distribution factor ZK defined in this paper can be used to identify the type of seismic spatial distribution better.The spatial distribution of earthquakes features a clustered pattern when the Zg-value approaches to 1; it is stochastic when ZK fluctuates around 0.5; and it may have a network pattern when ZK approaches to 0.From the angle of seismic spatial distribution,the change of the Rvalue reflects to some extent the dynamic variation of the degree of order and complexity of the seismogenic system.Taking 10 earthquakes of Ms≥5.8 in North China since 1970 as an example,the paper has discussed the variation features of ZK around moderately strong earthquakes.Results show that high Rvalue anomalies can generally be detected before moderately strong events.The Zk value of 0.642 can be taken as a criterion for identifying anomalies.Before the 2 strong earthquakes of展开更多
文摘This paper has introduced the spatial distance method to analyze the distribution features of earthquakes quantitatively.The seismic distribution factor ZK defined in this paper can be used to identify the type of seismic spatial distribution better.The spatial distribution of earthquakes features a clustered pattern when the Zg-value approaches to 1; it is stochastic when ZK fluctuates around 0.5; and it may have a network pattern when ZK approaches to 0.From the angle of seismic spatial distribution,the change of the Rvalue reflects to some extent the dynamic variation of the degree of order and complexity of the seismogenic system.Taking 10 earthquakes of Ms≥5.8 in North China since 1970 as an example,the paper has discussed the variation features of ZK around moderately strong earthquakes.Results show that high Rvalue anomalies can generally be detected before moderately strong events.The Zk value of 0.642 can be taken as a criterion for identifying anomalies.Before the 2 strong earthquakes of