Considering two seismic parameters,energy and the frequency of an earthquake as a whole from the definition of information gain in entropy,we study the information gain of M≥6.0 earthquakes from the world earthquake ...Considering two seismic parameters,energy and the frequency of an earthquake as a whole from the definition of information gain in entropy,we study the information gain of M≥6.0 earthquakes from the world earthquake catalogue during 1900-1992.The results show that the information gain decreases before strong earthquakes.Our study of the recent seismic tendency of large earthquakes shows that the probability of earthquakes with M≥8.5 is low for the near future around the world.The information gain technique provides a new approach to tracing and predicting earthquakes from the data of moderate and small earthquakes.展开更多
Considering the deficiency of using vague language in predicting monthly seismic tendency, we propose a numerical predicting method in the paper, which may be more applicable to the society. The method is based on the...Considering the deficiency of using vague language in predicting monthly seismic tendency, we propose a numerical predicting method in the paper, which may be more applicable to the society. The method is based on the self-rhythm phenomenon of earthquake activities, which calculates monthly seismic tendency through nonlinear mathematical model. The result of modeling test shows that there exists a kind of seismic cyclic process of every 7 to 8 months in Chinese mainland, and the average error from comparing monthly predicted and observed earthquake magnitudes is below 0.2. Thus the method is more applicable to the society than the experiential prediction.展开更多
Analysis of seismic data and seismicity characteristics in China, we gave a method to deal with seismic patterns by calculating density at grid nodes. Number of earthquakes and epicenter distribution are considered co...Analysis of seismic data and seismicity characteristics in China, we gave a method to deal with seismic patterns by calculating density at grid nodes. Number of earthquakes and epicenter distribution are considered comprehensively in this method. Effect of datum accuracy is stressed on parameter confirmation. Seismic patterns from this method are stable and can reflect seismic characteristics reliably. These seismic patterns are the base of quantitative analysis of seismicity. It can be applied in seismic tendency analysis and medium-long term earthquake prediction, earthquake countermeasure and risk mitigation.展开更多
文摘Considering two seismic parameters,energy and the frequency of an earthquake as a whole from the definition of information gain in entropy,we study the information gain of M≥6.0 earthquakes from the world earthquake catalogue during 1900-1992.The results show that the information gain decreases before strong earthquakes.Our study of the recent seismic tendency of large earthquakes shows that the probability of earthquakes with M≥8.5 is low for the near future around the world.The information gain technique provides a new approach to tracing and predicting earthquakes from the data of moderate and small earthquakes.
基金National Natural Science Foundation of China (10373017).
文摘Considering the deficiency of using vague language in predicting monthly seismic tendency, we propose a numerical predicting method in the paper, which may be more applicable to the society. The method is based on the self-rhythm phenomenon of earthquake activities, which calculates monthly seismic tendency through nonlinear mathematical model. The result of modeling test shows that there exists a kind of seismic cyclic process of every 7 to 8 months in Chinese mainland, and the average error from comparing monthly predicted and observed earthquake magnitudes is below 0.2. Thus the method is more applicable to the society than the experiential prediction.
文摘Analysis of seismic data and seismicity characteristics in China, we gave a method to deal with seismic patterns by calculating density at grid nodes. Number of earthquakes and epicenter distribution are considered comprehensively in this method. Effect of datum accuracy is stressed on parameter confirmation. Seismic patterns from this method are stable and can reflect seismic characteristics reliably. These seismic patterns are the base of quantitative analysis of seismicity. It can be applied in seismic tendency analysis and medium-long term earthquake prediction, earthquake countermeasure and risk mitigation.
