Correlations and Clustering in Seismicity Observations

地震活动观测中的相关性和聚类

• 批准号: 9526814
• 负责人: John Rundle
• 金额: $ 11万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-08-01 至 1999-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9526814&HistoricalAwards=false
• 关键词: Correlations; Clustering; Seismicity; Observations

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. *** ??

9526814 Rundle 这项研究是为了研究地震发生的非线性物理特性。 最近和以前的各种观测表明，空间和时间上的聚集是地震活动观测的基本属性。 由于地震预测是基于时间规律（例如地震间隙）的，因此在做出任何有意义的预测之前，必须了解地震时空聚集的性质。 地震聚集是由于断层段之间的非线性效应和相互作用造成的，必须了解这些因素。 这项工作将测试各种非线性模型和模拟，通过与实际地震数据进行比较，这些模型和模拟已知会在空间和时间上产生聚类。 这项研究是国家地震减灾计划的一部分。 *** ??