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3D Dilatometer Time-Series Analysis for a Better Understanding of the Dynamics of a Giant Slow-Moving Landslide
Eliaš, Michal ; Balek, Jan ; Blahůt, Jan ; Meletlidis, Stavros

Source: Applied Schiences-Basel : 10. (16), 16 s. ISSN: 2076-3417

Publication type: článek v časopise
Extent16 stran

Link: https://www.mdpi.com/2076-3417/10/16/5469/htm
Annotation:
This paper presents a methodological approach to the time-series analysis of movement monitoring data of a large slow-moving landslide. It combines different methods of data manipulation to decrease the subjectivity of a researcher and provides a fully quantitative approach for analyzing large amounts of data. The methodology was applied to 3D dilatometric data acquired from the giant San Andrés Landslide on El Hierro in the Canary Islands in the period from October 2013 to April 2019. The landslide is a creeping volcanic flank collapse showing a decrease of speed of movement during the monitoring period. Despite the fact that clear and unambiguous geological interpretations cannot be made, the analysis is capable of showing correlations of the changes of the movement with increased seismicity and, to some point, with precipitation. We consider this methodology being the first step in automatizing and increasing the objectivity of analysis of slow-moving landslide monitoring data.

Citation: BLAHŮT, Jan, Jan BALEK, Michal ELIAŠ a Stavros MELETLIDIS. 3D Dilatometer Time-Series Analysis for a Better Understanding of the Dynamics of a Giant Slow-Moving Landslide. Applied Sciences [online]. 2020, 10(16) [cit. 2021-6-29]. ISSN 2076-3417. Dostupné z: doi:10.3390/app10165469

The record appears in these collections:
Focus on VÚGTK > VÚGTK Departments > Geodesy and Geodynamics
Focus on VÚGTK > Researchers > Michal Eliaš
Documents of VÚGTK > Articles VÚGTK
Focus on VÚGTK > RIV

 Record created 2021-06-29, last modified 2021-08-18


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