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Fault Parameter Constraints Using Relocated Earthquakes: A Validation of First-Motion Focal-Mechanism Data

机译:使用重定位地震的故障参数约束:一次运动震源机制数据的验证

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摘要

We estimate the strike and dip of three California fault segments (Calaveras, Sargent, and a portion of the San Andreas near San Jaun Bautistia) based on principle component analysis of accurately located microearthquakes. We compare these fault orientations with two different first-motion focal mechanism catalogs: the Northern California Earthquake Data Center (NCEDC) catalog, calculated using the FPFIT algorithm (Reasenberg and Oppenheimer, 1985), and a catalog created using the HASH algorithm that tests mechanism stability relative to seismic velocity model variations and earthquake location (Hardebeck and Shearer, 2002). We assume any disagreement (misfit >30° in strike, dip, or rake) indicates inaccurate focal mechanisms in the catalogs. With this assumption, we can quantify the parameters that identify the most optimally constrained focal mechanisms. For the NCEDC/FPFIT catalogs, we find that the best quantitative discriminator of quality focal mechanisms is the station distribution ratio (STDR) parameter, an indicator of how the stations are distributed about the focal sphere. Requiring STDR > 0.65 increases the acceptable mechanisms from 34%–37% to 63%–68%. This suggests stations should be uniformly distributed surrounding, rather than aligning, known fault traces. For the HASH catalogs, the fault plane uncertainty (FPU) parameter is the best discriminator, increasing the percent of acceptable mechanisms from 63%–78% to 81%–83% when FPU 35°. The overall higher percentage of acceptable mechanisms and the usefulness of the formal uncertainty in identifying quality mechanisms validate the HASH approach of testing for mechanism stability.
机译:根据精确的主成分分析,我们估计了三个加利福尼亚断层段 (Calaveras,Sargent以及San Jaun Bautistia附近的San Andreas的一部分)的走向和倾角。 sup> 定位的微地震。我们将这些断层方向 与两个不同的第一运动震源机制目录进行了比较: 北加利福尼亚地震数据中心(NCEDC)目录, 使用FPFIT算法(Reasenberg和Oppenheimer,1985年)和使用HASH算法创建的目录,该目录用于测试相对于地震速度模型变化和地震 >位置(Hardebeck and Shearer,2002年)。我们假定任何分歧 (在前冲,下倾或前倾中错位> 30°)表明目录中的 焦点机制不准确。有了这个假设,我们可以 量化标识最受约束的 焦点机制的参数。对于NCEDC / FPFIT目录,我们发现 质量焦点机制的最佳定量判别器 是测站分配比(STDR)参数,指标 要求STDR> 0.65会使可接受的机制 从34%–37%增加到63%–68%。这表明 站应该均匀分布在周围,而不是对准已知故障迹线。对于HASH目录,故障平面不确定性 (FPU)参数是最好的鉴别器,将可接受机制的百分比 从63%–​​78%增加到81%–83% 当FPU 35°时。可接受的总体机制 的较高百分比以及形式不确定性在识别 质量机制中的有用性,验证了HASH方法测试机械稳定性的方法。 sup>

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