3D Dilatometer Time-Series Analysis for a Better Understanding of the Dynamics of a Giant Slow-Moving Landslide

0532904 - ÚSMH 2021 RIV CH eng J - Journal Article
Blahůt, Jan - Balek, Jan - Eliaš, M. - Meletlidis, S.
3D Dilatometer Time-Series Analysis for a Better Understanding of the Dynamics of a Giant Slow-Moving Landslide.
Applied Sciences-Basel. Roč. 10, č. 16 (2020), č. článku 5469. E-ISSN 2076-3417
R&D Projects: GA ČR(CZ) GJ16-12227Y
Institutional support: RVO:67985891
Keywords : slow-moving landslide * landslide monitoring * time-series analysis * San Andrés Landslide * El Hierro * Canary Islands
OECD category: Geology
Impact factor: 2.679, year: 2020
Method of publishing: Open access
https://www.mdpi.com/2076-3417/10/16/5469

Featured Application Analysis of monitoring data from very slow-moving landslides. 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 Andres 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.
Permanent Link: http://hdl.handle.net/11104/0311322