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  • 2020-2024  (1)
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    Publication Date: 2024-04-20
    Description: We provide a GIS data inventory of confirmed and proposed glacially-induced faults. Stresses, perturbated as a response to the advance and retreat of continental ice sheets and glaciers, can reactivate pre-existing faults. Previously referred to as "PostGlacial Faults" (PGFs), these faults are now called "Glacially-Induced Faults" (GIFs). More than a dozen kilometre-long and several metre-high fault-scarps have been identified in northern Fennoscandia since extensive investigations started in the 1960s and 1970s. Similar faults, but by far not of such dimensions, have also been described in eastern Canada. In other formerly glaciated areas in Europe, e.g., the southern parts of Sweden, Norway and Finland, the southern Baltic Sea, Denmark, northern Germany and Poland, and the Baltic countries, GIFs have rarely been observed and discussed in the literature. However, the number of studies with reliable field evidence for proposing such faults has increased considerably in recent years. The estimated fault movements are of minor magnitude, though, as compared with those in northern Fennoscandia. The database contains the confirmed GIFs in northern Fennoscandia including north-western Russia. The geological surveys in Norway, Sweden and Finland analysed recent LiDAR (Light Detection And Ranging) data from their countries, which helped uncover new faults and revise the geometry of the existing ones. In addition, we include several proposed GIFs outside this area, e.g., in southern Sweden, Denmark and Germany. Ongoing work suggests the occurrence of GIFs in Iceland, Canada and Antarctica. The database will be continually updated, considering new results. A summarized description of the GIF in this database is given in: Steffen, H., Olesen, O., and Sutinen, R. (2021). Glacially-Triggered Faulting. Cambridge University Press, Cambridge, UK, ca. 450 pp., expected publication February 2021.
    Keywords: Glacially induced faults; Post-Glacial faults (PGF)
    Type: Dataset
    Format: application/zip, 161.1 kBytes
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