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Toward understanding slip inversion uncertainty and artifacts

机译:理解滑移反演的不确定性和伪影

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The main concept of seismic source tomography, the projection lines along which the observed signals are back-projected to the fault, is extended to complete wavefields.The so-called "dynamic projection strips" (DPSs) are defined, and a method to construct the strips from individual waveforms is described. In this way, each individual station role in the inversion can be better understood. Synthetic models with two asperities (two unilateral and one bilateral rupture scenarios) are used as examples. They are analyzed using two independent slip inversion methods with similar results, bias of the rupture speed for all scenarios and a strong false asperity in the middle of the bilateral fault. Both artifacts can be explained by the DPS analysis as inherent nonuniqueness of the inverse problem due to the joint effect of the two true asperities. Removal of some slip artifacts by imposing various constraints is discussed, but most of the constraints are hardly applicable in practice. As such, it is recommended to look at least for possible indications of the most significant inversion artifacts. This seems to be feasible through combining DPSs derived from real data and synthetic models of various rupture scenarios for a given fault and stations. The ideas are applied to the Movri Mountain earthquake in Greece, Mw6.3, 8 June 2008. It appears that the earthquake was predominantly unilateral, however with a nonunique spacetime slip pattern. Few equivalent nonsmooth models, all fitting the data equally well, are illustrated.
机译:地震源层析成像的主要概念是将观测信号沿投影线反向投影到断层的投影线扩展到完整的波场。定义了所谓的“动态投影带”(DPS),并提出了一种构造方法描述了各个波形的条带。这样,可以更好地理解反演中每个站的角色。以具有两个凹凸(两个单侧破裂和一个双侧破裂情况)的合成模型为例。使用两种独立的滑移反演方法对它们进行了分析,结果相似,所有情况下的破裂速度均存在偏差,并且双侧断层中部的假隆起强烈。 DPS分析可将这两个伪像解释为反问题的固有非唯一性,这是由于两个真实粗糙体的共同作用所致。讨论了通过施加各种约束条件来去除一些滑动假象,但是大多数约束条件在实践中几乎不适用。因此,建议至少寻找最重要的反转伪像的可能指示。对于给定的断层和测站,通过结合从真实数据和各种破裂情景的综合模型得出的DPS,这似乎是可行的。这些想法已应用于2008年6月8日Mw6.3的希腊Movri山地震。看来该地震主要是单方面的,但是具有非唯一的时空滑动模式。很少有等效的非光滑模型,都可以很好地拟合数据。

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