Science. 1989 Mar 3;243(4895):1173-6. doi: 10.1126/science.243.4895.1173.
After a strong earthquake, the possibility of the occurrence of either significant aftershocks or an even stronger mainshock is a continuing hazard that threatens the resumption of critical services and reoccupation of essential but partially damaged structures. A stochastic parametric model allows determination of probabilities for aftershocks and larger mainshocks during intervals following the mainshock. The probabilities depend strongly on the model parameters, which are estimated with Bayesian statistics from both the ongoing aftershock sequence and from a suite of historic California aftershock sequences. Probabilities for damaging aftershocks and greater mainshocks are typically well-constrained after the first day of the sequence, with accuracy increasing with time.
强烈地震后,发生显著余震或更强主震的可能性持续存在,这是一种威胁关键服务恢复和部分受损建筑物重新使用的危险。随机参数模型允许在主震后间隔内确定余震和更大主震的概率。这些概率强烈依赖于模型参数,这些参数是通过贝叶斯统计从正在发生的余震序列和一系列加利福尼亚历史余震序列中估算出来的。在序列的第一天之后,破坏性余震和更大主震的概率通常得到很好的约束,并且随着时间的推移准确性会提高。