随机性细胞自动机的地震模拟的动力学含义

结合随机的能量输入和确定的能量损耗，本文用随机性细胞自动机(CA)进行了地震事件的数字模拟，并对事件进行了能量分维和时间序列的多重分形分析。初步结果表明，大量事件的能量-频次的统计分布可能遵从最经典的Gutenberg—Richter关系．不同的初始能量分布和不同的能量传递准则都对模型的输出产生影响，b值与模型参数的设置密切相关，地震现象本质上的复杂性可能是随机性与确定性的统一体现。

Dynomical Implications of Earthquake Modelling Using Stochastic Cellular Automata

Combining with stochastic energy import and deterministic energy loss, in this paper it adopted a digital modelling for earthquake events by using stochastic cellular automata (CA), and also 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 lots of events can yield to the classic GutenbergRichter relations, both different energy initial statuses and propagation rules influence the output of model. The bvalue tightly correlates to model parameters. The complexity of earthquake phenomenon essentially may be both stochastic and deterministic.