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dc.contributor.author
Weber, Samuel
dc.contributor.author
Beutel, Jan
dc.contributor.author
Gruber, Stephan
dc.contributor.author
Hasler, Andreas
dc.contributor.author
Meyer, Matthias
dc.contributor.author
Vieli, Andreas
dc.date.accessioned
2019-09-11T09:57:30Z
dc.date.available
2019-09-11T08:49:37Z
dc.date.available
2019-09-11T09:57:30Z
dc.date.issued
2019-09-11
dc.identifier.uri
http://hdl.handle.net/20.500.11850/363439
dc.identifier.doi
10.3929/ethz-b-000363439
dc.description.abstract
Rock slope destabilization due to warming or thawing permafrost poses a risk to the safety of local communities and infrastructure in populated mountain regions. The analysis of fracture kinematics in the context of local temperature evolution in the longer-term is a common approach aiming to identify its forcing (e.g. Wegmann and Gudmundsson, 1999, Matsuoka and Murton, 2008, Blikra and Christiansen, 2014). Hasler et al. (2012) and Weber et al. (2017) analyzed fracture dilatation data measured at Matterhorn Hörnligrat at 3500 m a.s.l. and suggest thawing related processes, such as meltwater percolation into fractures to cause irreversible displacement. However, this finding so far has not been backed up by data from different instruments or analysis methods. Hence, misinterpretation of the existing data can not reliably be excluded. Based on further data consisting of surface displacements measured with D-GPS, inclinometers, ambient seismic vibrations and ground resistivity captured and compiled over a period of ten years, we apply a multi-data cross validation technique to detect and quantify temperature-induced rock slope dynamics and identify the components of derived process knowledge that predict behavior across differing observation methods. The combined analysis of this multi-modal dataset allows to further develop and analyse our limited understanding of the dominant processes governing rock slope stability, in our case a steep bedrock mountain permafrost buttress. Based on this evidence we conclude that the kinematics observed at the surface in the winter/refreezing period is negligible compared to those observed during spring initiated by the thawing and mobilization of fluid water w.r.t. destabilization and precursory signs of rockfall at a larger scale. Therefore, future research should focus on the quantification of water supply, distribution and mobility both in the frozen and fluid state.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Cross validation of a multi-modal dataset describing temperature-induced rock slope dynamics
en_US
dc.type
Conference Poster
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.pages.start
WS 2.4.B
en_US
ethz.size
1 p.
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
International Mountain Conference 2019 (IMC 2019)
en_US
ethz.event.location
Innsbruck, Austria
en_US
ethz.event.date
September 8–12, 2019
en_US
ethz.notes
Poster presented on September 11, 2019
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02640 - Inst. f. Technische Informatik und Komm. / Computer Eng. and Networks Lab.
en_US
ethz.date.deposited
2019-09-11T08:49:46Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-09-11T09:57:47Z
ethz.rosetta.lastUpdated
2019-09-11T09:57:47Z
ethz.rosetta.versionExported
true
ethz.COinS
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