Abstract

We present a novel inverse method for discriminating regional deformation and long-term fault creep by inversion of GNSS velocities observed at the spatial scale of intraplate faults by exploiting the different spatial signatures of these two mechanisms. In doing so our method provides a refined estimate of the upper bound of the strain accumulation process. As case study, we apply this method to a six year GNSS campaign (2003–2008) set up in the southern portion of the Pollino Range over the Castrovillari and Pollino faults. We show that regional deformation alone cannot explain the observed deformation pattern and implies high geodetic strain rate, with a WSW-ENE extension of 86±41×10−9/yr. Allowing for the possibility of fault creep, the modelling of GNSS velocities is consistent with their uncertainties and they are mainly explained by a shallow creep over the Pollino fault, with a normal/strike-slip mechanism up to 5 mm/yr. The regional strain rate decrease by about 70 percent and is characterized by WNW-ESE extension of 24±28×10−9/yr. The large uncertainties affecting our estimate of regional strain rate do not allow infering whether the tectonic regime of the area is extensional or strike-slip, although the latter is slightly more likely.

Highlights

  • Geodetic strain rates from GNSS observations, once compared with past and ongoing seismicity, provide a first estimate of the amount of deformation that is accommodated by earthquakes [1,2,3]

  • We have developed a novel inverse method for discriminating regional deformation and fault creep from surface velocities observed by a GNSS network at the spatial scale of intraplate faults which allows including, or not, prior information on the tectonic regime

  • Surface velocities caused by the fault creep are modelled according to the dislocation theory e.g., [32] while the rigid-body motion and regional strain rates describing the regional deformation are assumed to be homogeneous in space and dealt with as additional model parameters [30]

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Summary

Introduction

Geodetic strain rates from GNSS observations, once compared with past and ongoing seismicity, provide a first estimate of the amount of deformation that is accommodated by earthquakes [1,2,3] This comparison, still leaves open the issue of whether the difference between seismic and GNSS deformation is accommodated by aseismic phenomena or by elastic accumulation preparing the earthquake [4]. In this respect, geodetic strain rates and earthquake catalogs can only provide an upper bound for the building of the elastic stress. Considering the large spatial scales of the interseismic deformation at plate boundaries, even sparse GNSS networks can provide valuable information, but difficulties arise in discriminating transient and (long-term) inter seismic deformations due to the limited time intervals spanned by the GNSS data time series [7]

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