EGU21-11703, updated on 07 Jan 2022
https://doi.org/10.5194/egusphere-egu21-11703
EGU General Assembly 2021
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

A strain rate model for Europe from a dense network of GNSS

Holger Steffen1, Rebekka Steffen1, Ambrus Kenyeres2, Alessandro Caporali3, Joaquin Zurutuza3, and Martin Lidberg1
Holger Steffen et al.
  • 1Lantmäteriet, Geodetic Infrastructure, Gävle, Sweden (holger.steffen@lm.se, rebekka.steffen@lm.se, martin-lidberg@lm.se)
  • 2Kozmikus Geodéziai Obszervatórium, Hungary (ambrus.kenyeres@lechnerkozpont.hu)
  • 3Department of Geosciences, University of Padova, Italy (alessandro.caporali@unipd.it, jzurutuza@gmail.com)

Strain rates are an important factor to find areas that are under stress. Higher strain rates are usually observed along plate boundaries, while lower strain rates are found in intraplate regions. The increased availability of velocity solutions from Global Navigation Satellite System (GNSS) for entire Europe allows a 2D strain rate to be estimated at high resolution. Thus, regions of high and low strain become clearly visible. Here, we will present a new strain rate model, which is based on a recent velocity field solution by the EUREF Permanent Network Densification (EPND2100). This velocity field is obtained by the combination of weekly position SINEX solutions generated by 28 EPND Analysis Centres. More details on EPND can be found in the www.epnd.sgo-penc.hu website. The homogenized and quality checked velocity field is then interpolated via a least-square collocation using a fixed scale length of 135 km. In addition, the effect of known plate boundaries is considered during the interpolation to avoid a smoothing of nearby velocities on different tectonic plates. We also apply a moving variance approach to avoid effects of non-stationarity, which arise due to the variable station densities. The interpolated velocity model is then used to estimate a 2D strain rate covering most of Europe. We will highlight the situation in intraplate areas with very low strain rates but dense GNSS networks.

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