Correlations and Clustering in Seismicity Observations

9526814 Rundle本研究是研究地震发生的非线性物理性质。最近和以前的各种观测表明，在空间和时间上的聚类是地震活动观测的一个基本性质。因为地震的预测是基于时间的规律性（例如，地震间隙），所以在做出任何有意义的预测之前，必须先了解地震的时空聚类的性质。地震聚集是由于断层段之间的非线性效应和相互作用，这些因素必须了解。这项工作将通过与实际地震数据的比较，测试各种非线性模型和模拟，这些模型和模拟已知会在空间和时间上产生聚类。这项研究是国家减少地震危害计划的一个组成部分。* * * ? ?

9526814 Rundle This research is to study the non-linear physical properties of earthquake occurrence. A variety of recent as well as older observations indicate that clustering in space and time is a fundamental property of seismicity observations. Because forecasting of earthquakes has been based on temporal regularity (for example, seismic gaps), the nature of the space-time clustering of earthquakes must be understood before any meaningful forecasts can be made. Earthquake clustering is due to non-linear effects and interactions between fault segments, and these factors must be understood. This work will test a variety of nonlinear models and simulations that are known to produce clustering in space and time through comparison with actual seismic data. This research is a component of the National Earthquake Hazard Reduction Program. *** ??