Slope deformation, reservoir variation and meteorological data at the Khoko landslide, Enguri hydroelectric basin (Georgia), during 2016–2019
<p>The Greater Caucasus mountain belt is characterized by deep valleys, steep slopes and frequent seismic activity, the combination of which results in major landslide hazard. Along the eastern side of the Enguri water reservoir lies the active Khoko landslide, whose head scarp zone affects th...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2021-07-01
|
| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/13/3321/2021/essd-13-3321-2021.pdf |
| Summary: | <p>The Greater Caucasus mountain belt is characterized by deep valleys, steep
slopes and frequent seismic activity, the combination of which results in
major landslide hazard. Along the eastern side of the Enguri water reservoir
lies the active Khoko landslide, whose head scarp zone affects the important
Jvari–Khaishi–Mestia road, one of the few connections with the interior of
the Greater Caucasus. Here, we present a database of measurement time series
taken over a period of 4 years (2016–2019) that enables us to compare slope
deformation with meteorological factors and human-induced perturbations owing
to variations in the water level of the reservoir. The monitoring system we
used is composed of two digital extensometers, placed within two artificial
trenches excavated across the landslide head scarp. The stations are
also equipped with internal and near-ground surface thermometers. The dataset is integrated by daily measurements of rainfall and lake level. The
monitoring system – the first installed in Georgia – was set up in the
framework of a NATO-funded project, aimed at assessing different types of
geohazards affecting the Enguri artificial reservoir and the related
hydroelectrical plant. Our results indicate that the Khoko landslide
displacements appear to be mainly controlled by variations in hydraulic
load, in turn induced by lake level oscillations. Rainfall variations might
also have contributed, though this is not always evident for all the studied
period. The full databases are freely available online at the following DOI:
<a href="https://doi.org/10.20366/unimib/unidata/SI384-2.0">https://doi.org/10.20366/unimib/unidata/SI384-2.0</a> (Tibaldi et al., 2020).</p> |
|---|---|
| ISSN: | 1866-3508 1866-3516 |