Articles | Volume 36
Adv. Geosci., 36, 77–80, 2014
Adv. Geosci., 36, 77–80, 2014

  27 Aug 2014

27 Aug 2014

The 2013 Earthquake Series in the Southern Vienna Basin: location

M.-T. Apoloner1, G. Bokelmann1, I. Bianchi1, E. Brückl2, H. Hausmann3, S. Mertl4, and R. Meurers3 M.-T. Apoloner et al.
  • 1Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria
  • 2Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria
  • 3Zentralanstalt für Meteorologie und Geodynamik, Vienna, Austria
  • 4Mertl Research GmbH, Vienna, Austria

Abstract. 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.