SI384

Deformation and meteorological data of the Khoko landslide, Enguri, Republic of Georgia (2016-2020)

Tibaldi, Alessandro (Università degli Studi di Milano-Bicocca)

Version:
2.0

Changelog (Archive version):

2.0 - 2021-06-08
* "Lake level" file updated

1.1 - 2021-01-08
* End User Licence (EUL) updated

1.0 - 2020-10-22
* First import routine of the study

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Release:
2021-06-04

Changelog (Source release):

2021-06-04
* "Lake level" file updated

2021-01-07
* End User Licence (EUL) updated

2020-10-08
* first release

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Availability:
available

UniData provides two kind of data access:

  • open data
    (all users can use the data - an expense allowance could be required)
  • restricted data
    (the data use is limited - see below)

Data Kind:
individual data

Time Dimensions:
time series (continuous)

Methodological Notes:
Methodological Notes
other documentation
Website

The data have been collected in the framework of a research focused on the study of the active Khoko landslide in the Greater Caucasus, which is a mountain belt 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 Khoko landside, whose head scarp zone affects the important Jvari-Khaishi-Mestia road, one of the few connections with the interior of the Greater Caucasus. The monitoring system 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.

 

In particular data deal with measurement time series taken over the period 2016-2020. Data include information on slope deformation, meteorological factors and man-induced perturbations of the water level variations 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 equipped also with internal and external thermometers. The dataset is integrated by daily measurements of rainfall and lake level. Data indicate that the Khoko landslide displacements appear to be controlled by variations in hydraulic load, in turn induced by lake level oscillations, with a delay of months between lake infilling and extension rate increase. Rainfall and temperature variations do not affect slope deformations.

 

Data are composed by four separate files, two relating to the measurements from the strain gauges (deformations and temperatures, both inside the instrument and outside at the two landslide measurement sites), one relating to the rainfall and one relating to lake level variations.

For further information please refer to the methodological note.


Data are available for free (registration required). After logging in, please click on the green button download_arrow in the box at the right.



Keywords: , , , , ,


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Topic Classification:

  • NATURAL ENVIRONMENT - environmental degradation/pollution and protection
  • NATURAL ENVIRONMENT - natural resources and energy
  • Nations: Georgia

    Geographical Cover:
    Enguri, Republic of Georgia

    Geographical Unit: not applicable

    Analysis Unit: geographic unit, object

    Universe: No reference universe

    Sample Procedure: No sampling data

    Weight: No weight used

    Collection Mode: physical measurements and tests

    Collection Size: UniData supplies: 4 dataset in SPSS format; 4 dataset in Excel format; 1 Methodological Note in PDF format (eng); 1 Codebook in ZIP format (eng) (10 file)

    Documentation:

    Codebook (zip):
    DDI Documentation:
    DDI Documentation

    Data Use Restriction:
    Data are released in according to Creative Commons – Attribution 4.0 Licence, available here.
    Source Contact: Alessandro Tibaldi - Università degli Studi di Milano-Bicocca

    Citation:
    Tibaldi, Alessandro. (2016-2020) Deformation and meteorological data of the Khoko landslide, Enguri, Republic of Georgia. Oppizzi, Paolo [Producer]. Bonali, Fabio [Producer]. Pasquarè Mariotto, Federico [Producer]. Tsereteli, Nino [Producer]. Mebonia, Levan [Producer]. UniData - Bicocca Data Archive, Milan. Study Number SI384. Data file version 2.0 doi:10.20366/unimib/unidata/SI384-2.0

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