4.7 Article

Landslides at a uranium mill tailing deposit site Bort (Slovenia) detected by radar interferometry

Journal

LANDSLIDES
Volume 11, Issue 3, Pages 527-536

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s10346-013-0454-9

Keywords

Uranium mill tailing deposit; Landslide; Radar interferometry; Persistent scatterers; Ground surveying; Slovenia

Funding

  1. European Commission [2-1-3-D]
  2. ARRS (Slovenian Research Agency) [J1-913]

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This paper presents a comparison of persistent scatterer interferometry (PSI) monitoring results with in situ displacement measurements at the November 1990 landslide at the Bort uranium mill tailing deposit site after heavy rain. Although the landslide did not directly endanger people, site remediation works were undertaken due to the subsequent environmental problems. Additionally, in situ monitoring with benchmarks was established in order to detect the ground motion of the landslide body. PSI campaigning in the kofjeloko-Cerkljansko area, where the uranium mill tailing is situated, performed for the purpose of measuring displacements of natural targets near the active landslide area, also detected displacements, most probably indicating a creeping process. When comparing the pre- and post-remediation velocities at the benchmarks located on the landslide with persistent scatterers (PSs) located near the landslide, the rates could be regarded as background. The results show that the remediation works in the form of a drainage tunnel were very effective as post-remediation velocities at the landslide closer to the PSs resembled the velocities of the PSs, while the velocities of the landslide mass above the drainage tunnel slowed down, even to below the background velocities. The high correlation values between the movements of the benchmarks and the PSs also confirm that the remediation works were effective as the fluctuations in the displacement values of the landslide were very similar to those of the PSs. Nevertheless, although there are several limitations in comparing the two different datasets, the PSI technique can be complementary to conventional in situ methods.

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