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  1- D velocity model for the South Western part of Romania. Study case Targu-Jiu area

Dinescu, R., Borleanu, F., Poiata, N., Popa, M., Radulian, M., Chircea, A., Munteanu, I., Ghica, D. (2023): 1- D velocity model for the South Western part of Romania. Study case Targu-Jiu area, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3099

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 Creators:
Dinescu, Raluca1, Author
Borleanu, Felix1, Author
Poiata, Natalia1, Author
Popa, Mihaela1, Author
Radulian, Mircea1, Author
Chircea, Andreea1, Author
Munteanu, Ioan1, Author
Ghica, Daniela1, Author
Affiliations:
1IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations, ou_5011304              

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 Abstract: The seismicity of the South Western part of Romania is linked to tectonic deformation being the result of the dextral movements at the contact between the Carpathians Orogen and Moesian Platform. The most notable active faults in this region are the Oravita-Moldova Noua Fault and Cerna-Jiu Fault. The crustal structure of this region was investigated through classical and modern techniques such as refraction and reflection profiling, seismic tomography, joint inversion of dispersion curves, and receiver functions. Targu-Jiu region was characterized before 2023 by sporadic small to moderate earthquakes. A well-investigated seismic sequence was produced in 2011-2012. The recent double-shock occurred in the area in February 2023 (5.2 and 5.7 ML) and was followed by more than 700 aftershocks. In order to estimate an improved 1-D velocity model for this active region, we extracted from the Romanian earthquake bulletins 170 events, recorded by Romanian Seismic Network. The events were selected based on the following criteria: a minimum of 20 recorded phases for each individual earthquake, the RMS location of less than 1 second, and a maximum azimuthal gap of 180 degrees. The region's velocity model and station corrections were accurately determined by minimizing the misfit between the model predictions and arrival times. The VELEST algorithm was run on the selected data, using P and S-wave travel times and the initial velocity models for generating new improved velocity models. We noticed a reduction of up to 40% in RMS location errors for all resulting velocity models.

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Language(s): eng - English
 Dates: 2023-07-112023-07-11
 Publication Status: Finally published
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 Identifiers: DOI: 10.57757/IUGG23-3099
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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Place of Event: Berlin
Start-/End Date: 2023-07-11 - 2023-07-20

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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Source Genre: Proceedings
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Publ. Info: Potsdam : GFZ German Research Centre for Geosciences
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