Combined application of FTAN and cross-spectra analysis to ambient noise recorded by a microseismic monitoring network

IF 3.6
Ilaria Barone , Alessandro Brovelli , Giorgio Tango , Sergio Del Gaudio , Giorgio Cassiani
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Abstract

A case study of seismic interferometry applied to a small microseismic monitoring network is here presented. The main objectives of this study are (i) to quantify the lateral variability of shear-wave velocities in the studied area, and (ii) to investigate the bias produced by noise directionality and non-stationarity in the velocity estimate. Despite the limited number of stations and the short-period character of the seismic sensors, the empirical Green's functions were retrieved for all station pairs using two years of passive data. Both group and phase velocities were derived, the former using the widespread frequency-time analysis, the latter through the analysis of the real part of the cross-spectra. The main advantage of combining these two methods is a more accurate identification of higher modes, resulting in a reduction of ambiguity during picking and data interpretation. Surface wave tomography was run to obtain the spatial distribution of group and phase velocities for the same wavelengths. The low standard deviation of the results suggests that the sparse character of the network does not limit the applicability of the method, for this specific case. The obtained maps highlight the presence of a lower velocity area that extends from the centre of the network towards southeast. Group and phase velocity dispersion curves have been jointly inverted to retrieve as many shear-wave velocity profiles as selected station pairs. While the average model can be used for a more accurate location of the local natural seismicity, the associated standard deviations give us an indication of the lateral heterogeneity of seismic velocities as a function of depth. Finally, the same velocity analysis was repeated for different time windows in order to quantify the error associated to variations in the noise field. Errors as large as 4% have been found, related to the unfavorable orientation of the receiver pairs with respect to strongly directional noise sources, and to the very short time widows. It was shown that using a one-year time window these errors are reduced to 0.3%.

Abstract Image

FTAN与交叉谱分析在微震监测网环境噪声中的联合应用
本文介绍了地震干涉测量技术在小型微震监测网中的应用实例。本研究的主要目标是(i)量化研究区域横波速度的横向变化,以及(ii)研究速度估计中噪声方向性和非平稳性产生的偏差。尽管台站数量有限,地震传感器的周期短,但使用两年的被动数据检索了所有台站对的经验格林函数。对群速度和相速度进行了推导,群速度采用宽频时分析,相速度采用交叉谱实部分析。结合这两种方法的主要优点是更准确地识别更高的模式,从而减少了选择和数据解释过程中的歧义。利用面波层析成像得到了相同波长的群速度和相速度的空间分布。结果的低标准差表明,对于这种特定情况,网络的稀疏特性并不限制该方法的适用性。获得的地图突出了从网络中心向东南延伸的较低速度区域的存在。群速度和相速度频散曲线被联合反演,以获得尽可能多的横波速度剖面。虽然平均模型可以用于更准确地确定当地自然地震活动的位置,但相关的标准偏差可以表明地震速度作为深度函数的横向非均质性。最后,在不同的时间窗口重复相同的速度分析,以便量化与噪声场变化相关的误差。已经发现误差高达4%,这与接收器对相对于强方向性噪声源的不利方向以及非常短的时间寡妇有关。结果表明,使用一年的时间窗,这些误差降低到0.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
8.20
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