Zoltán Gráczer
Hungarian Academy of Sciences
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Featured researches published by Zoltán Gráczer.
Acta Geodaetica Et Geophysica Hungarica | 2012
Zoltán Gráczer; Zoltán Wéber
We determined a new one-dimensional P-wave velocity model for the territory of Hungary based on the first arrival times of local earthquakes. During the computations 910 P-wave arrival data of 86 events from the time period between 1985 and 2010 have been used. The applied methodology is a combination of a genetic algorithm based procedure and an iterative linearized joint inversion technique. The preferred velocity profile has been chosen from the best models based on the data of a series of controlled explosions.The resulting flat-layered model consists of three crustal layers and a half-space representing the uppermost mantle. The crustal compressional velocities vary in the range of 5.3–6.3 km/s, while the uppermost mantle velocity was found to be 7.9 km/s. The Moho is located at an average depth of 26 km.Additionally, the Vp/Vs ratio was calculated by the Wadati-method, which gave a value of 1.74±0.05.
Acta Geodaetica Et Geophysica Hungarica | 2018
Zoltán Gráczer; Gyöngyvér Szanyi; István Bondár; Csenge Czanik; Tibor Czifra; Erzsébet Győri; György Hetényi; I. Kovács; Irene Molinari; Bálint Süle; Eszter Szűcs; Viktor Wesztergom; Zoltán Wéber
In the last few decades dense large-scale seismic networks showed their importance in studying the structure of the lithosphere and the upper mantle. The better understanding of the Apennines–Alps–Carpathian–Dinarides system is the main target of the AlpArray European international initiative in which more than 50 institutes are involved. The core of AlpArray is the AlpArray Seismic Network (AASN). With its
Acta Geodaetica Et Geophysica Hungarica | 2018
I. Kovács; Levente Patkó; György Falus; László Előd Aradi; Gyöngyvér Szanyi; Zoltán Gráczer; Csaba Szabó
Advances in Geosciences | 2016
Irene Molinari; John Clinton; Edi Kissling; György Hetényi; Domenico Giardini; Josip Stipčević; Iva Dasović; Marijan Herak; Vesna Šipka; Zoltán Wéber; Zoltán Gráczer; Stefano Solarino
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Acta Geodaetica Et Geophysica Hungarica | 2015
Rita Klébesz; Zoltán Gráczer; Gyöngyvér Szanyi; Nóra Liptai; István János Kovács; Levente Patkó; Zsanett Pintér; György Falus; Viktor Wesztergom; Csaba Szabó
Surveys in Geophysics | 2018
György Hetényi; Irene Molinari; John Clinton; Götz Bokelmann; István Bondár; Wayne C. Crawford; Jean-Xavier Dessa; Cécile Doubre; Wolfgang Friederich; Florian Fuchs; Domenico Giardini; Zoltán Gráczer; Mark R. Handy; Marijan Herak; Yan Jia; Edi Kissling; Heidrun Kopp; Michael Korn; L. Margheriti; T. Meier; Marco Mucciarelli; Anne Paul; Damiano Pesaresi; Claudia Piromallo; Thomas Plenefisch; Jaroslava Plomerová; Joachim R. R. Ritter; Georg Rümpker; Vesna Šipka; Daniele Spallarossa
∼600 broadband seismic stations (
Acta Geodaetica Et Geophysica Hungarica | 2011
Erzsébet Győri; László Tóth; Zoltán Gráczer; T. Katona
Pure and Applied Geophysics | 2016
Gyöngyvér Szanyi; Zoltán Gráczer; Erzsébet Győri; Zdeněk Kaláb; Markéta Lednická
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Acta Geodaetica Et Geophysica Hungarica | 2013
Gyöngyvér Szanyi; Zoltán Gráczer; Erzsébet Győri
Seismological Research Letters | 2018
István Bondár; Péter Mónus; Csenge Czanik; M. Kiszely; Zoltán Gráczer; Zoltán Wéber
∼280 of which are temporary) the AASN is, so far, the largest passive seismic experiment in Europe. The MTA CSFK Geodetic and Geophysical Institute, as a Core Member of the AlpArray project, contributes to the AlpArray Seismic Network with its entire permanent network as well as with 11 temporary broadband seismic stations deployed in Western Hungary. Three additional station equipment were provided by the Swiss-AlpArray SINERGIA program. The average station distance together with the permanent stations is around 40 km in the area of interest. The temporary network has been installed between December 2015 and July 2016 and the planned operation period is 3 years. In this paper we describe the characteristics of the 29 permanent and temporary stations, introducing not only the equipment, but the location, housing and geological setting, as well. We present median power spectral density curves in order to characterise the noise conditions at each station.