EGU2020-21693
https://doi.org/10.5194/egusphere-egu2020-21693
EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Estimation of seismic network detection thresholds for Austria

Maria-Theresia Apoloner1, Helmut Hausmann1, Nikolaus Horn1, and the AlpArray Working Group*
Maria-Theresia Apoloner et al.
  • 1ZAMG, Seismology, Vienna, Austria (maria-theresia.apoloner@zamg.ac.at)
  • *A full list of authors appears at the end of the abstract

Seismic networks are expanding and changing continuously: station instrumentation breaks and improves, new stations are set up permanently and temporarily for projects, or get available online from seismological services. For routine processing, it is important to know if and where adding an existing station to processing or building or improving a station will add the most value to the detection an location capabilities.

Therefore, in this study we calculate seismic network detectionthresholds for Austria using data available to us from different sources: From the Seismic Network of Austria (OE), which consists of unevenly distributed high quality low noise broadband and strong-motion stations, with station spacing up to 100 km. Cross-border from neighboring countries, where each of them operates at least one seismic network with very different station quality and coverage. As well as from temporary regional scientific projects (i.a. AlpArray (Z3), the SWATH (ZS)) and local infrastructure monitoring (GeoTief EXPLORE 3D).

Additionally to comparing different methods (SN-CAST by Möllhoff et al. 2019, Net-Sim by Niko Horn, GT5-criterium) with each other, we also analyze how strong-motion stations, recently added due to the interregio project ARMONIA, improve the detection capabilities.

AlpArray Working Group:

AlpArray

How to cite: Apoloner, M.-T., Hausmann, H., and Horn, N. and the AlpArray Working Group: Estimation of seismic network detection thresholds for Austria, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21693, https://doi.org/10.5194/egusphere-egu2020-21693, 2020

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