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The effects of earth model uncertainty on the inversion of seismic data for seismic source functions

机译:地球模型不确定性对地震源功能抗震数据反演的影响

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We use Monte Carlo simulations to explore the effects of earth model uncertainty on the estimation of the seismic source time functions that correspond to the six independent components of the point source seismic moment tensor. Specifically, we invert synthetic data using Green's functions estimated from a suite of earth models that contain stochastic density and seismic wave-speed heterogeneities. We find that the primary effect of earth model uncertainty on the data is that the amplitude of the first-arriving seismic energy is reduced, and that this amplitude reduction is proportional to the magnitude of the stochastic heterogeneities. Also, we find that the amplitude of the estimated seismic source functions can be under- or overestimated, depending on the stochastic earth model used to create the data. This effect is totally unpredictable, meaning that uncertainty in the earth model can lead to unpredictable biases in the amplitude of the estimated seismic source functions.
机译:我们使用Monte Carlo模拟来探索地球模型不确定性对对应于点源地震矩张量六个独立组成的地震源时间函数的估计。具体地,我们使用从包含随机密度和地震波速异质的地球模型估计的绿色函数来反转合成数据。我们发现地球模型不确定性对数据的主要效果是第一到来的地震能量的幅度减小,并且该幅度降低与随机异质性的大小成比例。此外,我们发现估计的地震源函数的幅度可以是或高估,这取决于用于创建数据的随机地球模型。这种效果是完全不可预测的,这意味着地球模型的不确定性可能导致估计的地震源功能的幅度中的不可预测的偏差。

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