ImProDiReT
Published March 19, 2020 | Version Final
Poster Open

Zonation of the hazardous technogenic-geological and engineering-geological processes manifestations for Solotvyno territory

Authors/Creators

  • 1. Institute of Geological Sciences of the National Academy of Sciences of Ukraine

Contributors

Researcher:

  • 1. Institute of Geological Sciences of the National Academy of Sciences of Ukraine

Description

Zonation characterizes probability of hazardous technogenic-geological and engineering-geological processes manifestations for Solotvyno territory. It was established on the basis of expert assessment of the former hazardous events frequency and scale, changes of topography and geomorphology, geodetic survey, remote sensing data, satellite imagery, Differential Interferometric Analysis data (DinSAR), provided by Copernicus for the European Union Civil Protection Team advisory mission to Ukraine (2016), authors’ systematic field observations 2008, 2010, 2011, 2016, 2018, 2019 coupled with summarized previous research results.

Files

Zonation _of the hazardous natural and technogenic geological processes for Solotvyno_.pdf

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Additional details

References

  • Shekhunova, S.B., Aleksieienkova, M.V., Stadnichenko, S.M., Siumar, N.P., 2015. The integrated geological model of Solotvyno structure as a tool to assess geoecological sustainability of Solotvyno rock-salt deposit. Collection of Scientific Works of the Institute of geological Sciences NAS of Ukraine, 8, Pp. 233-250. DOI: https://doi.org/10.30836/igs.2522-9753.2015.146791 (In Ukrainian)
  • Yakovlev, E.O., Shekhunova, S.B., Aleksieienkova, M.V., Siumar, N.P., 2016. Assessment of complex stress-strain state of the Solotvyno salt anticline structure (basing on technique of natural pulse electromagnetic field of the Earth). Collection of Scientific Works of the Institute of geological Sciences NAS of Ukraine, 9, Pp. 83-96. DOI: https://doi.org/10.30836/igs.2522-9753.2016.144246 (In Ukrainian)
  • Ukrainian StateGeoCadastre data
  • GeoInform Archive data