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Dynamical Implications of Earthquake Modeling Using Stochastic Cellular Automata
引用本文:Gao Yuan and Liu ZhaojunCenter for Analysis and Prediction,SSB,Beijing 100036,China. Dynamical Implications of Earthquake Modeling Using Stochastic Cellular Automata[J]. 中国地震研究, 1995, 0(4)
作者姓名:Gao Yuan and Liu ZhaojunCenter for Analysis and Prediction  SSB  Beijing 100036  China
作者单位:Gao Yuan and Liu ZhaojunCenter for Analysis and Prediction,SSB,Beijing 100036,China
摘    要:
Combining stochastic energy import and deterministic energy loss,this paper does digital modeling for earthquake events by using stochastic cellular automata(CA),and derives energy fractal dimension analysis and multifractal analysis for time sequences of "earthquake" events from this model.The preliminary results show that statistical energy-frequency distribution of many events yields to the classic Gutenberg-Richter relation; different energy initial statuses and propagation rules both influence the output of the model.The b value tightly correlates to model parameters.The complexity of earthquake phenomena essentially may be both stochastic and deterministic.


Dynamical Implications of Earthquake Modeling Using Stochastic Cellular Automata
Gao Yuan and Liu ZhaojunCenter for Analysis and Prediction,SSB,Beijing ,China. Dynamical Implications of Earthquake Modeling Using Stochastic Cellular Automata[J]. Earthquake Research in China, 1995, 0(4)
Authors:Gao Yuan  Liu ZhaojunCenter for Analysis  Prediction  SSB  Beijing   China
Affiliation:Gao Yuan and Liu ZhaojunCenter for Analysis and Prediction,SSB,Beijing 100036,China
Abstract:
Combining stochastic energy import and deterministic energy loss,this paper does digital modeling for earthquake events by using stochastic cellular automata(CA),and derives energy fractal dimension analysis and multifractal analysis for time sequences of "earthquake" events from this model.The preliminary results show that statistical energy-frequency distribution of many events yields to the classic Gutenberg-Richter relation; different energy initial statuses and propagation rules both influence the output of the model.The b value tightly correlates to model parameters.The complexity of earthquake phenomena essentially may be both stochastic and deterministic.
Keywords:mathematical model   seismic activity
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