000196294 001__ 196294
000196294 003__ CZ-ZdVUG
000196294 005__ 20210818115409.0
000196294 041__ $$aeng
000196294 040__ $$aABC039$$bcze
000196294 1001_ $$aEliaš, Michal
000196294 24510 $$a3D Dilatometer Time-Series Analysis for a Better Understanding of the Dynamics of a Giant Slow-Moving Landslide
000196294 300__ $$a16 stran
000196294 5203_ $$aThis paper presents a methodological approach to the time-series analysis of movement monitoring data of a large slow-moving landslide. It combines different methods of data manipulation to decrease the subjectivity of a researcher and provides a fully quantitative approach for analyzing large amounts of data. The methodology was applied to 3D dilatometric data acquired from the giant San Andrés Landslide on El Hierro in the Canary Islands in the period from October 2013 to April 2019. The landslide is a creeping volcanic flank collapse showing a decrease of speed of movement during the monitoring period. Despite the fact that clear and unambiguous geological interpretations cannot be made, the analysis is capable of showing correlations of the changes of the movement with increased seismicity and, to some point, with precipitation. We consider this methodology being the first step in automatizing and increasing the objectivity of analysis of slow-moving landslide monitoring data.
000196294 655_4 $$ačlánek v časopise
000196294 7001_ $$aBalek, Jan
000196294 7001_ $$aBlahůt, Jan
000196294 7001_ $$aMeletlidis, Stavros
000196294 7730_ $$92020$$dŠvýcarská konference, 2020.$$g10. (16), 16 s.$$tApplied Schiences-Basel$$x2076-3417
000196294 8564_ $$uhttps://www.mdpi.com/2076-3417/10/16/5469/htm
000196294 85642 $$ahttps://www.isvavai.cz/riv?s=rozsirene-vyhledavani&ss=detail&n=0&h=RIV%2F00025615%3A_____%2F20%3AN0000039%21RIV21-MSM-00025615
000196294 910__ $$aABC039
000196294 980__ $$aclanky_vugtk
000196294 985__ $$aelias
000196294 985__ $$ariv
000196294 985__ $$autvar24