Evidence map›Paper›PMID 40282648›Full record

ArticleEntropy (Basel, Switzerland)2025

Analysis of the Relationship Between Enguri Large Dam Monitoring Entropic Features.

Tamaz Chelidze, Teimuraz Matcharashvili, Aleksandre Sborshchikovi, Ekaterine Mepharidze, Dimitri Tepnadze, Levan Laliashvili

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tamaz ChelidzeMikheil Nodia Institute of Geophysics, Ivane Javakhishvili Tbilisi State University, Tbilisi 0160, Georgia.ORCID 0000-0001-9254-8492
Teimuraz MatcharashviliMikheil Nodia Institute of Geophysics, Ivane Javakhishvili Tbilisi State University, Tbilisi 0160, Georgia.ORCID 0009-0001-2573-6925
Aleksandre SborshchikoviMikheil Nodia Institute of Geophysics, Ivane Javakhishvili Tbilisi State University, Tbilisi 0160, Georgia.
Ekaterine MepharidzeMikheil Nodia Institute of Geophysics, Ivane Javakhishvili Tbilisi State University, Tbilisi 0160, Georgia.
Dimitri TepnadzeMikheil Nodia Institute of Geophysics, Ivane Javakhishvili Tbilisi State University, Tbilisi 0160, Georgia.
Levan LaliashviliMikheil Nodia Institute of Geophysics, Ivane Javakhishvili Tbilisi State University, Tbilisi 0160, Georgia.

Funding

Shota Rustaveli National Science Foundation of Georgia (SRNSF) FR-21-7273
6 · The paper itself

Abstract

In this research, the results of the analysis of Enguri Large Dam (West Georgia) monitoring features, such as foundation displacement data and water level (WL) variation in the reservoir, were investigated. A statistical approach based on calculating time series helps us determine the research area's dynamic picture. In this article, we have used various nonlinear analysis methods. Nonlinear dynamics of deformation and filling/reloading near grand dams reflect the complexity of the mentioned time series, connected with the natural agents (regional and local geodynamics), which were presented even before dam erection, and the effects of the water level variation in the reservoir. Both these effects are documented by observations from 1974 to 2024 at the Enguri Large Dam. Modern linear and nonlinear primarily data analysis techniques will be used for analysis of monitoring characteristics of the Enguri Large Dam: Kullback-Leibler divergence, mutual information, Shannon entropy, and Tsallis entropy. The obtained data on the dynamics of deformation and filling/reloading near a large dam can be used for the assessment of the possible risks connected with abrupt changes in the routine dynamics of construction.

Indexed as

Enguri dam foundation displacementlinear and nonlinear analysisShannon and Tsallis entropywater level variation in reservoir

Identifiers

PMID40282648
PMCPMC12025516

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