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首页> 外文期刊>Nonlinear processes in geophysics >Wavefield decomposition and phase space dynamics of the seismic noise at Volcàn de Colima, Mexico: evidence of a two-state source process
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Wavefield decomposition and phase space dynamics of the seismic noise at Volcàn de Colima, Mexico: evidence of a two-state source process

机译：墨西哥Volcànde Colima的地震噪声的波场分解和相空间动力学：两种源过程的证据

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We analyse the seismic noise recorded at the Colima Volcano (Mexico) in the period December 2005–May 2006 by four broadband three-component seismic stations. Specifically, we characterize the spectral content of the signal and follow its time evolution along all the data set. Moreover, we infer the properties of the attractor in the phase space by false nearest neighbours analysis and Grassberger–Procaccia algorithm, and adopt a time-domain decomposition method (independent component analysis) to find the basic constituents (independent components) of the system. Constraints on the seismic wavefield are inferred by the polarization analysis. We find two states of the background seismicity visible in different time-intervals that are Phase A and Phase B. Phase A has a spectrum with two peaks at 0.15 Hz and 0.3 Hz, with the latter dominating, an attractor of correlation dimension close to 3, three quasi-monochromatic independent components, and a relevant fraction of crater-pointing polarization solutions in the near-field. In Phase B, the spectrum is preserved but with the highest peak at 0.15 Hz, the attractor has a correlation dimension close to 2, two independent components are extracted, and the polarization solutions are dominated by Rayleigh waves incoming from the southwest direction. We depict two sources acting on the background seismicity that are the microseismic noise loading on the Pacific coastline and a low-energy volcanic tremor. A change in the amplitude of the microseismic noise can induce the switching from a state of the system to the other.
机译：我们分析了四个宽带三分量地震台站在2005年12月至2006年5月在科利马火山（墨西哥）记录的地震噪声。具体来说，我们表征信号的频谱内容，并沿所有数据集跟踪其时间演变。此外，我们通过假最近邻分析和Grassberger-Procaccia算法推断相空间中吸引子的性质，并采用时域分解方法（独立成分分析）来找到系统的基本成分（独立成分）。通过极化分析可以推断出对地震波场的约束。我们发现在不同的时间间隔内可以看到背景地震活动的两种状态，分别是A相和B相。A相具有一个在0.15 Hz和0.3 Hz处有两个峰值的光谱，后者占主导地位，相关维度的吸引子接近3 ，三个准单色独立分量以及近场中火山口指向偏振解的相关分数。在阶段B中，频谱被保留，但最高峰出现在0.15 Hz，吸引子的相关维数接近2，提取了两个独立的分量，偏振解以从西南方向入射的瑞利波为主。我们描述了两种作用于背景地震的震源，分别是太平洋海岸线上的微震噪声载荷和低能火山震颤。微地震噪声的幅度变化可以引起从系统状态到另一状态的切换。

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