Investigations into the Mechanics of Faulting at Parkfield Integrating Coseismic Slip, Post-Seismic Deformation and Micro-Earthquake Behavior

结合同震滑移、震后变形和微地震行为的 Parkfield 断层力学研究

• 批准号: 0738342
• 负责人: Douglas Dreger
• 金额: $ 24万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0738342&HistoricalAwards=false
• 关键词: Investigations; into; Mechanics; Faulting; Parkfield

The investigators on this project are studying the mechanics of faulting on the Parkfield segment of the San Andreas Fault. Their study looks into the scaling of micro-earthquakes, the relationships between micro-earthquakes and the Mw6.0 Parkfield mainshock and its associated postseismic slip, heterogeneity of stress release, fault strength, and fault rheology. They will use data from the Berkeley High Resolution Borehole Seismic Network and the NSF-funded SAFOR pilot and primary boreholes. They will produce high resolution images of the kinematic rupture processes of these small earthquakes. The results of this study will have direct bearing on fundamental questions concerning the spatial dimensions of small earthquakes, their rupture and slip velocities, the distribution of slip and stress drop and triggering of nearby sequences of earthquakes. An advantage of studying these small events is that recurrence is rapid enough that many cycles may be observed. Thus it will be possible to examine the repeatability of the system. The project will involve graduate and undergraduate students, take advantage of Earthscope data and may help understanding of earthquake occurrence that is useful for earthquake forecast models.

该项目的调查人员正在研究圣安德烈亚斯断层帕克菲尔德段的断层力学。他们的研究着眼于微地震的缩放，微地震与Mw6.0帕克菲尔德主震及其相关的震后滑动，应力释放的不均匀性，断层强度和断层流变学之间的关系。他们将使用伯克利高分辨率钻孔地震网络和NSF资助的SAFOR试验和主要钻孔的数据。它们将产生这些小地震的运动破裂过程的高分辨率图像。这一研究结果将直接关系到有关小地震的空间尺度、破裂和滑动速度、滑动和应力降的分布以及附近地震序列的触发等基本问题。研究这些小事件的一个优点是，复发足够快，可以观察到许多周期。因此，可以检查系统的可重复性。该项目将涉及研究生和本科生，利用Earthscope数据，并可能有助于了解地震发生，这对地震预报模型有用。