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Slowness Corrections — One Way to Improve IDC Products

机译:慢度校正-改进IDC产品的一种方法

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摘要

— The first step to identify and locate a seismic event is the association of observed onsets with common seismic sources. This is especially important in the context of monitoring the Comprehensive Nuclear-Test-Ban Treaty (CTBT) at the International Data Center (IDC) being developed in Vienna, Austria. Well-defined slowness measurements are very useful for associating seismic phases to presumed seismic events.¶Shortly after installation of the first seismic arrays, systematic discrepancies between measured and theoretically predicted slowness values were observed, and therefore slowness measurements of seismic stations should be calibrated. The observed slownesses measured with small aperture arrays, some of which will be included in the International Monitoring System (IMS) now being implemented for verifying compliance with the CTBT, show large scatter and deviations from theoretically expected values. However, in this study a method is presented, by which mean slowness corrections can be derived, which show relatively stable patterns specific to each array.¶The correction of measured slowness values of these arrays clearly improved the single array location capabilities. Applying slowness corrections with seismic phases observed by ARCES, FINES, GERES, and NORES, and associated to seismic events in the bulletins of the prototype International Data Center (pIDC) in Arlington, VA, also clearly demonstrates the advantages of these corrections. For arrays with large slowness deviations that are due to the influence of a dipping layer, the corrections were modeled with a sine function depending on the measured azimuth. In addition, the measured values can be weighted with the corresponding uncertainties known from the process of deriving the mean corrections.
机译:—识别和定位地震事件的第一步是将观测到的发作与常见地震源联系起来。在监测正在奥地利维也纳建立的国际数据中心的《全面禁止核试验条约》(CTBT)的情况下,这一点尤其重要。定义明确的慢度测量值对于将地震相位与假定的地震事件相关联非常有用。¶在安装了第一个地震阵列后不久,观察到测量的和理论上预测的慢度值之间存在系统差异,因此应校准地震台站的慢度测量值。用小孔径阵列测得的观测到的慢度显示出较大的散布和偏离了理论上的预期值,其中的一些慢度将包括在国际监测系统(IMS)中,目前正在实施中,以验证是否符合《禁核试条约》。然而,在这项研究中,提出了一种方法,通过该方法可以推导平均慢度校正,从而显示出每个阵列特有的相对稳定的模式。对这些阵列的测得的慢度值的校正明显改善了单个阵列的定位能力。在弗吉尼亚州阿灵顿原型国际数据中心(pIDC)的公告中,将ARCES,FINES,GERES和NORES观测到的地震相位与地震事件相关联地应用慢度校正,也清楚地表明了这些校正的优势。对于由于浸渍层的影响而造成的大的慢度偏差的阵列,根据测量的方位角,使用正弦函数对校正进行建模。另外,测量值可以用从得出均值校正过程中已知的相应不确定度加权。

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