EGU2020-19983
https://doi.org/10.5194/egusphere-egu2020-19983
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

PPP or network solution for detection of surface displacements?

Hael Sumaya
Hael Sumaya
  • Karlsruhe Institute of Technology, geodetic institute, GNSS, Germany (hael.sumaya@kit.edu)

Detection of the recent crustal deformation of the Upper Rhine Graben, which is part of the European Cenozoic rift system, is of interest for geoscience researcher. In April 2008 the Geodetic Institute of Karlsruhe Institute of Technology KIT and the Institut de Physique du Globe de Strasbourg (Ecole et Observatoire des Scences de laTerre) established an international joint venture called GURN (GNSS Upper Rhine Graben Network). GRUN network consists now of approximately 100 permanently operating reference stations.

The GPS observations acquired at these sites between 2002 and 2017 have been processed in different methods applying state-of-the art strategies and parameters. The resulting GPS coordinate time series have been analysed in order to extract the surface velocities for horizontal and vertical components. In this research, we will discuss the results by using different strategies of GNSS data reprocessing, PPP comparing to network solution. Advantages and disadvantages between both solutions for this kind of GNSS application, intraplate deformation, will be presented. The velocity of the height component will be also compared with the results of levelling data. One strategy or a combined solution should be selected to detect the detailed information on the present-day intraplate deformation of the Upper Rhine Graben.

How to cite: Sumaya, H.: PPP or network solution for detection of surface displacements?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19983, https://doi.org/10.5194/egusphere-egu2020-19983, 2020

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