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  • 2020-2022  (2)
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  • 1
    Publication Date: 2021-09-23
    Description: SUMMARY This study compares the results of Multiple Lapse Time Windows Analysis (MLTWA) and full envelope inversion (Qopen) to determine intrinsic and scattering attenuation of the crust using the region around the central part of the Leipzig–Regensburg fault zone in Germany as an example. We use 18 of the region’s strongest earthquakes from 2008 to 2019 with a magnitude between 1.4 and 3.0 in the frequency band range between 3 and 34 Hz. The determined attenuation values of both methods are similar within their error bars. The inverse quality factors of the shear wave are relatively low compared to other regions, with values of 3.2 × 10−4 to 8.7 × 10−4 for $Q^{-1}_{i}$ and 1.4 × 10−4 to 2.8 × 10−4 for $Q^{-1}_{sc}$, respectively. As a by-product of Qopen, we also obtain the energy site amplification of the stations used in the inversion as well as source displacement spectra and moment magnitudes of the inverted earthquakes. Several combinations of inversion parameters were tested for MLTWA, with $Q^{-1}_{i}$ and $Q^{-1}_{sc}$ providing the lowest trade-off. Likewise, we investigated the influence of window length on the results of Qopen. We found a dependency of the results on the length, if the windows are shorter than 30 s. For longer time windows, the dependence disappears, and the result becomes independent of window length..
    Print ISSN: 0956-540X
    Electronic ISSN: 1365-246X
    Topics: Geosciences
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  • 2
    Publication Date: 2021-11-19
    Description: The interactive web page contains supplementary information to Fast and robust earthquake source spectra and moment magnitudes from envelope inversion, Eulenfeld et al. 2021, submitted. It aggregates centroid moment tensor (CMT) inversion results for selected events from the mid-crustal earthquake swarm in the granitic Bohemian massive near Nový Kostel in 2018. Magnitudes of the events are in the range Mw 1.8 - 3.6. The analysis has been performed using the Grond software package (Heimann et al., 2018).
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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