Advanced analysis of geophysical data for improved understanding of the earthquake fault process

地球物理数据的高级分析，以加深对地震断层过程的了解

• 批准号: 262457-2008
• 负责人: Tiampo, Kristy
• 金额: $ 2.04万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=480212
• 关键词: Advanced; analysis; geophysical; data; improved

Space-time clustering is a signature of strongly correlated processes, and is a well-documented feature of earthquake seismicity. These patterns provide important information about the earthquake source process, which will be studied here using several different advanced data sets and new, innovative analysis methods developed in the conjunction with the study of the physics of mean-field systems. A method developed for identifying areas of increased probability, the PI index (Tiampo et al., 2002a,b), is based upon recent observational evidence that earthquake faults are characterized by strongly correlated space-time dynamics, as well as numerical simulations of earthquakes that also suggest that space-time pattern structures are non-local, a consequence of strong correlations in the underlying dynamics. In recent work, this technique has been applied to seismicity from various tectonic regions around the world in order to detect systematic variations in seismic moment release in these regions. The long-term goal is to establish a clear relationship between these spatiotemporal patterns and the underlying nonlinear dynamics.

时空聚类是强相关过程的特征，也是地震活动性的一个有据可查的特征。 这些模式提供了有关地震震源过程的重要信息，这里将使用几个不同的高级数据集以及结合平均场系统物理学研究开发的新的创新分析方法来研究地震震源过程。 PI 指数（Tiampo 等人，2002a，b）是一种用于识别概率增加区域的方法，该方法基于最近的观测证据，即地震断层的特征是强相关的时空动力学，以及地震的数值模拟这也表明时空模式结构是非局域的，这是潜在动力学中强相关性的结果。 在最近的工作中，该技术已应用于世界各地不同构造区域的地震活动，以检测这些区域地震矩释放的系统变化。 长期目标是在这些时空模式与潜在的非线性动力学之间建立清晰的关系。