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Amplitude Corrections for Regional Seismic Discriminants

机译:区域地震判别的幅度校正

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A fundamental problem associated with event identification lies in deriving corrections that remove path and earthquake source effects on regional phase amplitudes used to construct discriminants. Our goal is to derive a set of physically based corrections that are independent of magnitude and distance, and amenable to multivariate discrimination by extending the technique described in Taylor and Hartse (1998). For a given station and source region, a number of well-recorded earthquakes is used to estimate source and path corrections. The source model assumes a simple Brune (1970) earthquake source that has been extended to handle non-constant stress drop. The discrimination power in using corrected amplitudes lies in the assumption that the earthquake model will provide a poor fit to the signals from an explosion. The propagation model consists of a frequency-independent geometrical spreading and frequency-dependent power law Q. A grid search is performed simultaneously at each station for all recorded regional phases over stress-drop, geometrical spreading, and frequency-dependent Q to find a suite of good-fitting models that remove the dependence on m_b and distance. Seismic moments can either be set to pre-determined values or estimated through inversion and are tied to m_b through two additional coefficients. We also solve for frequency-dependent site/phase excitation terms. Once a set of corrections is derived, effects of source scaling and distance as a function of frequency are applied to amplitudes from new events prior to forming discrimination ratios. Thus, all the corrections are tied to just m_b (or M_0) and distance and can be applied very rapidly in an operational setting. Moreover, phase amplitude residuals as a function of frequency can be spatially interpolated (e.g., using kriging) and used to construct a correction surface for each phase and frequency. The spatial corrections from the correction surfaces can then be applied to the corrected amplitudes based only on the event location. The correction parameters and correction surfaces can be developed offline and entered into an online database for pipeline processing providing multivariate-normal corrected amplitudes for event identification. Examples are shown using events from western China recorded at the station MAKZ.
机译:与事件识别相关的一个基本问题在于推导校正,该校正消除了路径和地震源对用于构造判别式的区域相位振幅的影响。我们的目标是通过扩展Taylor和Hartse(1998)中描述的技术,得出一组基于物理的校正,这些校正独立于幅度和距离,并且适合于多变量判别。对于给定的电台和震源区域,许多记录良好的地震用于估算震源和路径校正。该震源模型假设一个简单的Brune(1970)地震震源已被扩展以处理非恒定应力降。使用校正幅度的判别力在于地震模型将无法很好地适应爆炸信号的假设。传播模型由与频率无关的几何扩展和与频率相关的幂率定律Q组成。在每个站同时对应力下降,几何扩展和频率相关的Q上所有已记录的区域相位进行网格搜索,以找到一个套件拟合模型消除了对m_b和距离的依赖。地震矩既可以设置为预定值,也可以通过反演来估计,并通过两个附加系数与m_b相关。我们还求解与频率有关的站点/相位激励项。一旦得出一组校正,就在形成判别比之前将源缩放和距离作为频率的函数的影响应用于来自新事件的幅度。因此,所有校正仅与m_b(或M_0)和距离相关,并且可以在操作设置中非常迅速地应用。此外,可以在空间上内插(例如,使用克里金法)作为频率的函数的相位幅度残差,并用于构造针对每个相位和频率的校正表面。然后可以仅基于事件位置将来自校正表面的空间校正应用于校正后的振幅。可以离线开发校正参数和校正表面,并将其输入在线数据库中以进行管线处理,从而为事件识别提供多元正态校正幅度。展示了使用MAKZ站记录的中国西部事件的示例。

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