Abstract

Abstract. Understanding the inner structure of seismogenic faults and their ability to reactivate is particularly important in investigating the continental intraplate seismicity regime. In our study we address this problem using analysis of local seismic events and ambient seismic noise recorded by the temporary DAFNE array in the northern Fennoscandian Shield. The main purpose of the DAFNE/FINLAND passive seismic array experiment was to characterize the present-day seismicity of the Suasselkä postglacial fault (SPGF), which was proposed as one potential target for the DAFNE (Drilling Active Faults in Northern Europe) project. The DAFNE/FINLAND array comprised an area of about 20 to 100 km and consisted of eight short-period and four broadband three-component autonomous seismic stations installed in the close vicinity of the fault area. The array recorded continuous seismic data during September 2011–May 2013. Recordings of the array have being analysed in order to identify and locate natural earthquakes from the fault area and to discriminate them from the blasts in the Kittilä gold mine. As a result, we found a number of natural seismic events originating from the fault area, which proves that the fault is still seismically active. In order to study the inner structure of the SPGF we use cross-correlation of ambient seismic noise recorded by the array. Analysis of azimuthal distribution of noise sources demonstrated that during the time interval under consideration the distribution of noise sources is close to the uniform one. The continuous data were processed in several steps including single-station data analysis, instrument response removal and time-domain stacking. The data were used to estimate empirical Green's functions between pairs of stations in the frequency band of 0.1–1 Hz and to calculate corresponding surface wave dispersion curves. The S-wave velocity models were obtained as a result of dispersion curve inversion. The results suggest that the area of the SPGF corresponds to a narrow region of low S-wave velocities surrounded by rocks with high S-wave velocities. We interpret this low-velocity region as a non-healed mechanically weak fault damage zone (FDZ) formed due to the last major earthquake that occurred after the last glaciation.

Highlights

  • In studying of mechanisms of large earthquakes investigations of seismogenic fault structure and properties are of particular importance

  • Some recent investigations of fault damage zone (FDZ) produced by large earthquakes have demonstrated that the width of them can vary from several dozen metres to 1–2 km (Vidale and Li, 2003; Cochran et al, 2009)

  • In our study we investigate the inner structure of the Suasselkä postglacial fault (SPGF) using distribution of hypocentres of local seismic events and analysis of ambient seismic noise, recorded by the temporary DAFNE array

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Summary

Introduction

In studying of mechanisms of large earthquakes investigations of seismogenic fault structure and properties are of particular importance. One group of seismological studies concentrates on mapping the seismic source using recordings of seismic events This includes mapping of the fault plane using distribution of hypocentres of earthquakes originating from the fault and calculating orientation and dip of fault planes from seismograms of earthquakes (fault plane solutions, centroid moment tensor solutions). In our study we investigate the inner structure of the SPGF using distribution of hypocentres of local seismic events and analysis of ambient seismic noise, recorded by the temporary DAFNE array. The main objective of the DAFNE/FINLAND seismic passive experiment was to answer two major questions: (a) is the Suasselkä postglacial fault (SPGF) still seismically active, and (b) if it is active, what is the geometry of its seismogenic zone and the depth to it? Major problems were detected at stations DF10 and DF07, where the high noise level was due to technical problems with sensors and cables

Detection and location of seismic events
Ambient noise analysis
Analysis of spectrograms of the ambient noise
Analysis of azimuthal distribution of noise sources
Calculating empirical Green’s functions and dispersion curves
Inversion of dispersion curves
Discussion and conclusions
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