Erroneous GNSS Strain Rate Patterns and their Application to Investigate the Tectonic Credibility of GNSS Velocities - Publication - Bridge of Knowledge

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Erroneous GNSS Strain Rate Patterns and their Application to Investigate the Tectonic Credibility of GNSS Velocities

Abstract

The paper concerns investigation of the credibility of tectonic interpretation of GNSS strain rates. The analysis was focused on stable regions, where the crustal deformations are small and the reliability of GNSS velocities is questionable. We are showing how the unreliable motion of stations affects calculated strains around them. We expressed distribution of local principal strains by a sinusoidal function and used them to investigate the significance of strain distortion. Then we used this method to investigate real motions of GNSS stations. As a test object we used Polish GNSS stations belonging to the ASG-EUPOS network. Station velocities were estimated on the basis of the 4.5 years of observations. The results let us identify stations that disturb the obtained local GNSS strain rate field. After verification and exclusion of some stations, the new GNSS strains show a much greater internal compatibility and also better fit to the directions of lithosphere stresses.

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Authors (3)

  • Photo of  Andrzej Araszkiewicz

    Andrzej Araszkiewicz

    • Wojskowa Akademia Techniczna
  • Photo of prof. dr hab. inż. Mariusz Figurski

    Mariusz Figurski prof. dr hab. inż.

    • Wojskowa Akademia Techniczna
  • Photo of  Marek Jarosiński

    Marek Jarosiński

    • Państwowy Instytut Geologiczny

Keywords

Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
Acta Geophysica no. 64, edition 5, pages 1412 - 1429,
ISSN: 1895-6572
Language:
English
Publication year:
2016
Bibliographic description:
Araszkiewicz A., Figurski M., Jarosiński M.: Erroneous GNSS Strain Rate Patterns and their Application to Investigate the Tectonic Credibility of GNSS Velocities// Acta Geophysica. -Vol. 64, iss. 5 (2016), s.1412-1429
DOI:
Digital Object Identifier (open in new tab) 10.1515/acgeo-2016-0057
Verified by:
Gdańsk University of Technology

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