Towards field data applications of six-component polarization analysis

• DOI: 10.5194/egusphere-egu2020-16191
• Publication Date: 2020-03-10T01:46:09Z
• Authors: David Sollberger; Heiner Igel; Cedric Schmelzbach; Felix Bernauer; Shihao Yuan; Joachim Wassermann; André Gebauer; Ulrich Schreiber; Johan Robertsson
• Keywords: Robustness

<p>The analysis of the relative amplitudes a passing seismic wave recorded on single seismometer measuring six degrees freedom ground motion (translation and rotation) theoretically allows one to extract information that can conventionally only be obtained from receiver arrays. In past, it has been shown numerical data extension conventional three-component (3C) polarization techniques six-components, unambiguously identify type characterise in terms its propagation direction (without 180° ambiguity inherent 3C data) local speed. Additionally, due increase dimensionality data, two waves arriving at station same time simultaneously characterised under ideal conditions (low noise).</p><p>Attempts apply such 6-C field have so far met with limited success. Varying noise levels individual components complex wavefields (with more than interfering time) usually prevent stable recovery parameters using single-station analysis.</p><p>Here we discuss first attempts overcome these issues. We (1) test robustness different parameter estimators (maximum likelihood, MUSIC) towards high (2) try reduce number events window by performing time-frequency decomposed seismograms (i.e. spectrograms) S-transform.</p><p>The new are extensively tested high-performance ROMY ringlaser.</p>