Authors:
Z. Gráczer Hungarian Academy of Sciences Kövesligethy Seismological Observatory, Research Centre for Astronomy and Earth Sciences Meredek u. 18 H-1112 Budapest Hungary

Search for other papers by Z. Gráczer in
Current site
Google Scholar
PubMed
Close
and
Z. Wéber
Search for other papers by Z. Wéber in
Current site
Google Scholar
PubMed
Close
Restricted access

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.

  • Collapse
  • Expand

To see the editorial board, please visit the website of Springer Nature.

Manuscript Submission: HERE

For subscription options, please visit the website of Springer Nature.

Acta Geodaetica et Geophysica
Language English
Size B5
Year of
Foundation
2013
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó Springer
Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2213-5812 (Print)
ISSN 2213-5820 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Nov 2023 6 7 0
Dec 2023 24 1 1
Jan 2024 28 2 0
Feb 2024 14 1 0
Mar 2024 40 0 0
Apr 2024 12 0 0
May 2024 0 0 0