Slope deformation, reservoir variation and meteorological data at the Khoko landslide, Enguri hydroelectric basin (Georgia), during 2016–2019

• Main Authors: A. Tibaldi, F. Pasquaré Mariotto, P. Oppizzi, F. L. Bonali, N. Tsereteli, L. Mebonia, J. Chania
• 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

<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>