Seismic Monitoring of Permafrost in Svalbard, Arctic Norway

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Albaric , J , Kuhn , D , Ohrnberger , M , Langet , N , Harris , D , Polom , U , Lecomte , I & Hillers , G 2021 , ' Seismic Monitoring of Permafrost in Svalbard, Arctic Norway ' , Seismological Research Letters , vol. 92 , no. 5 , pp. 2891-2904 . https://doi.org/10.1785/0220200470

Title: Seismic Monitoring of Permafrost in Svalbard, Arctic Norway
Author: Albaric, Julie; Kuhn, Daniela; Ohrnberger, Matthias; Langet, Nadege; Harris, Dave; Polom, Ulrich; Lecomte, Isabelle; Hillers, Gregor
Contributor organization: Department of Geosciences and Geography
Institute of Seismology
Date: 2021-09
Language: eng
Number of pages: 14
Belongs to series: Seismological Research Letters
ISSN: 0895-0695
DOI: https://doi.org/10.1785/0220200470
URI: http://hdl.handle.net/10138/345952
Abstract: We analyze data from passive and active seismic experiments conducted in the Adventdalen valley of Svalbard in the Norwegian Arctic. Our objective is to characterize the ambient wavefield of the region and to investigate permafrost dynamics through estimates of seismic velocity variations. We are motivated by a need for early geophysical detection of potentially hazardous changes to permafrost stability. We draw upon several data sources to constrain various aspects of seismic wave propagation in Adventdalen. We use f-k analysis of five years of continuous data from the Spitsbergen seismic array (SPITS) to demonstrate that ambient seismic noise on Svalbard consists of continuously present body waves and intermittent surface waves appearing at regular intervals. A change in wavefield direction accompanies the sudden onset of surface waves when the average temperature rises above the freezing point, suggesting a cryogenic origin. This hypothesis is supported further by our analysis of records from a temporary broadband network, which indicates that the background wavefield is dominated by icequakes. Synthetic Green's functions calculated from a 3D velocity model match well with empirical Green's functions constructed from the recorded ambient seismic noise. We use a shallow shear-wave velocity model, obtained from active seismic measurements, to estimate the maximum depth of Rayleigh wave sensitivity to changes in shear velocity to be in the 50-100 m range. We extract seasonal variations in seismic velocities from ambient noise cross-correlation functions computed over three years of SPITS data. We attribute relative velocity variations to changes in the ice content of the shallow (2-4 m depth) permafrost, which is sensitive to seasonal temperature changes. A linear decreasing trend in seismic velocity is observed over the years, most likely due to permafrost warming.
Subject: 1171 Geosciences
Peer reviewed: Yes
Rights: unspecified
Usage restriction: openAccess
Self-archived version: acceptedVersion


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