Earthquake source inversion by integrated fiber-optic sensing

Nils Müller, Sebastian Noe, Dominik Husmann, Jacques Morel, Andreas Fichtner
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Abstract

We present an earthquake source inversion using a single time series produced by integrated fiber-optic sensing in a phase noise cancellation (PNC) system used for frequency metrology. Operating on a 123 km long fiber between Bern and Basel (Switzerland), the PNC system recorded the Mw3.9 Mulhouse earthquake that occurred on 10 September 2022 around 10 km north-west of the northern fiber end.  A generalised least-squares inversion in the 4 - 13 s period band constrains the components of a double-couple moment tensor with an uncertainty that corresponds to around 0.2 moment magnitude units, nearly independent of prior information.  Uncertainties for hypocenter location and original time are more variable, ranging between 4 - 20 km and 0.1 - 1 s, respectively, depending on whether injected prior information is realistic or almost absent.  This work is a proof of concept that quantifies the resolvability of earthquake source properties under specific conditions using a single-channel stand-alone integrated (non-distributed) fiber-optic measurement.  It thereby constitutes a step towards the integration of long-range phase-transmission fiber-optic sensors into existing seismic networks in order to fill significant seismic data gaps, especially in the oceans.
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通过集成光纤传感反演震源
我们介绍了利用用于频率计量的相位噪声消除(PNC)系统中的集成光纤传感所产生的单个时间序列进行的震源反演。PNC 系统在伯尔尼和巴塞尔(瑞士)之间 123 公里长的光纤上运行,记录了 2022 年 9 月 10 日发生在光纤北端西北约 10 公里处的 Mw3.9 穆尔豪斯地震。 4 - 13 秒周期带的广义最小二乘反演约束了双耦合力矩张量的分量,其不确定性相当于约 0.2 个力矩震级单位,几乎与先验信息无关。 低中心位置和原始时间的不确定性变化较大,分别在 4 - 20 千米和 0.1 - 1 秒之间,这取决于注入的先验信息是现实的还是几乎不存在的。 这项工作是一项概念验证,利用单通道独立集成(非分布式)光纤测量,量化了特定条件下地震源属性的可分辨性。 因此,它为将长距离相位传输光纤传感器集成到现有地震网络中,以填补重大地震数据空白,特别是海洋地震数据空白,迈出了一步。
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