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| Titel |
The 2013 Earthquake Series in the Southern Vienna Basin: location |
| VerfasserIn |
M.-T. Apoloner, G. Bokelmann, I. Bianchi, E. Brückl, Helmut Hausmann, S. Mertl, R. Meurers |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: Improving seismic networks performances: from site selection to data integration (EGU2013 SM1.4/GI1.6 session) ; Nr. 36 (2014-08-27), S.77-80 |
| Datensatznummer |
250121286
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| Publikation (Nr.) |
 copernicus.org/adgeo-36-77-2014.pdf |
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| Zusammenfassung |
Eastern Austria is a region of low to moderate seismicity, and hence the
seismological network coverage is relatively sparse. Nevertheless accurate
earthquake location is very important, as the area is one of the most densely
populated and most developed areas in Austria.
In 2013 a series of earthquakes with magnitudes up to 4.2 was recorded in the
Southern Vienna Basin. With portable broadband, semi-permanent, and permanent
installed seismic sensors from different institutions it was possible to
record the main- and aftershocks with an unusual multitude of close-by
seismic stations.
In this study we combine records from all available stations up to 240 km
distance in one dataset. First, we stabilize the location with three stations
deployed in the epicentral area. The higher network density moves the
location of smaller magnitude events closer to the main shocks, with respect
to preliminary locations achieved by permanent and semi-permanent networks.
Then we locate with NonLinLoc using consistent picks, a 3-D velocity model
and apply station corrections. This second approach results in stable
epicenters, for limited and even changing station availability.
This dataset can then be inspected more closely for the presence of regional
phases, which then can be used for more accurate localizations and especially
depth estimation. Further research will address directivity effects and the
asymmetry in earthquake intensity observed throughout the area, using double
differences and cross-correlations. |
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