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Localization with multicomponent seismic array

机译:多分量地震阵列定位

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Seismo-volcano source localization is essential to improve our understanding of volcano systems. The lack of clear seismic wave phases prohibits the use of classical location methods. Seismic antennas composed of one-component (1C) seismometers provide a good estimate of the back-azimuth of the waveeld. The depth estimation, on the other hand, is difcult or impossible to determine. In order to determine the source location parameters (back-azimuth and depth), we extend the 1C seismic antenna approach to 3Cs. This communication discusses a high-resolution location method using a 3C array survey (3C-MUSIC algorithm) with data from two seismic antennas installed on an andesitic volcano in Peru (Ubinas volcano). After introducing the 3C MUSIC processing, we evaluate the robustness of the location method on a full waveeld 3D synthetic dataset generated using a digital elevation model of Ubinas volcano and an homogeneous velocity model. Results show that the back-azimuth determined using the 3C array has a smaller error than a 1C array. Only the 3C method allows the recovery of the source depths. Finally, we applied the 3C-MUSIC to two seismic events recorded in 2009. Therefore, extending 1C arrays to 3C arrays in volcano monitoring allows a more accurate determination of the source epicenter and now an estimate for the depth.
机译:地震-火山源的定位对于增进我们对火山系统的了解至关重要。缺乏清晰的地震波相位,阻碍了经典定位方法的使用。由单分量(1C)地震仪组成的地震天线可以很好地估计波场的后方位角。另一方面,深度估计是困难的或不可能确定的。为了确定震源位置参数(后方位角和深度),我们将1C地震天线方法扩展到3C。本通讯讨论了使用3C阵列勘测(3C-MUSIC算法)的高分辨率定位方法,该数据来自安装在秘鲁安第斯山火山(Ubinas火山)上的两个地震天线的数据。引入3C MUSIC处理后,我们在使用Ubinas火山的数字高程模型和均匀速度模型生成的全波3D合成数据集上评估定位方法的鲁棒性。结果表明,使用3C阵列确定的后方位角的误差小于1C阵列。只有3C方法允许恢复源深度。最后,我们将3C-MUSIC应用于2009年记录的两次地震事件。因此,在火山监测中将1C阵列扩展到3C阵列可以更精确地确定震源震中,现在可以估算深度。

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