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| Titel |
Full-waveform tomography in the Vrancea region - Romania |
| VerfasserIn |
J. Baron, P. Danecek, A. Morelli, R. Tondi |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250068409
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| Zusammenfassung |
| The Vrancea region, located in the eastern part of the Carpathian arc bend, represents one of
the seismically most active zones in Europe. It is characterized by quite sustained
moderate-magnitude ( Mw=6.9) at the intermediate depth level clustered in a
rather tight area of about 40x80km2, , This seismic activity has often caused large
damages in and beyond the region in the past, notably in Bucharest. Therefore the
Vrancea region is a relevant area for many complementary geological and geophysical
studies.
The international tomographic experiment CALIXTO (Carpathian Arc Lithospheric
X-Tomography), conducted in 1999 in southern Romania, provides six months of
registrations from a temporal seismic network composed of 90 short-period and 30 broadband
sensors. Seismic travel times, retrieved from these data, have been used in connection with
gravity data to produce a three-dimensional velocity and density models down to 200 km.
This model puts in evidence a high Vp/Vs volume associated with the seismogenic zone, and
a southeastward increase of the Moho depth. The nature and origin of this subducting slab is
still under discussion.
Recent developments in theoretical and computational seismology have made it possible
to use addional information contained in the whole waveforms of recorded seismograms in
order to retrieve more detailed and reliable descriptions of the Earth’s structure. With the aim
to improve the tomographic model of the Vrancea region, we are implementing such a
full-waveform inversion techniques to the broadband registrations of the CALIXTO database.
Constraining better the structural features is critical for a better understanding and should
yield further insight into the underlying lithospheric dynamic processes. We show results of
initial tests, and assessments of quality of the existing dataset in terms of imaging capability. |
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