Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling

Steep, hardly accessible cliffs of rhyolite tuff in NE Hungary are prone to rockfalls, endangering visitors of a castle. Remote sensing techniques were employed to obtain data on terrain morphology and to provide slope geometry for assessing the stability of these rock walls. A RPAS (Remotely Pil...

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Main Authors: Á. Török, Á. Barsi, G. Bögöly, T. Lovas, Á. Somogyi, P. Görög
Format: Article
Language:English
Published: Copernicus Publications 2018-02-01
Series:Natural Hazards and Earth System Sciences
Online Access:https://www.nat-hazards-earth-syst-sci.net/18/583/2018/nhess-18-583-2018.pdf
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spelling doaj-74d95cf2f79043c8aadadcfd0faf6bba2020-11-25T00:07:55ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812018-02-011858359710.5194/nhess-18-583-2018Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modellingÁ. Török0Á. Barsi1G. Bögöly2T. Lovas3Á. Somogyi4P. Görög5Department of Engineering Geology and Geotechnics, Budapest University of Technology and Economics, 1111 Budapest, HungaryDepartment of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, 1111 Budapest, HungaryDepartment of Engineering Geology and Geotechnics, Budapest University of Technology and Economics, 1111 Budapest, HungaryDepartment of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, 1111 Budapest, HungaryDepartment of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, 1111 Budapest, HungaryDepartment of Engineering Geology and Geotechnics, Budapest University of Technology and Economics, 1111 Budapest, HungarySteep, hardly accessible cliffs of rhyolite tuff in NE Hungary are prone to rockfalls, endangering visitors of a castle. Remote sensing techniques were employed to obtain data on terrain morphology and to provide slope geometry for assessing the stability of these rock walls. A RPAS (Remotely Piloted Aircraft System) was used to collect images which were processed by Pix4D mapper (structure from motion technology) to generate a point cloud and mesh. The georeferencing was made by Global Navigation Satellite System (GNSS) with the use of seven ground control points. The obtained digital surface model (DSM) was processed (vegetation removal) and the derived digital terrain model (DTM) allowed cross sections to be drawn and a joint system to be detected. Joint and discontinuity system was also verified by field measurements. On-site tests as well as laboratory tests provided additional engineering geological data for slope modelling. Stability of cliffs was assessed by 2-D FEM (finite element method). Global analyses of cross sections show that weak intercalating tuff layers may serve as potential slip surfaces. However, at present the greatest hazard is related to planar failure along ENE–WSW joints and to wedge failure. The paper demonstrates that RPAS is a rapid and useful tool for generating a reliable terrain model of hardly accessible cliff faces. It also emphasizes the efficiency of RPAS in rockfall hazard assessment in comparison with other remote sensing techniques such as terrestrial laser scanning (TLS).https://www.nat-hazards-earth-syst-sci.net/18/583/2018/nhess-18-583-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Á. Török
Á. Barsi
G. Bögöly
T. Lovas
Á. Somogyi
P. Görög
spellingShingle Á. Török
Á. Barsi
G. Bögöly
T. Lovas
Á. Somogyi
P. Görög
Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling
Natural Hazards and Earth System Sciences
author_facet Á. Török
Á. Barsi
G. Bögöly
T. Lovas
Á. Somogyi
P. Görög
author_sort Á. Török
title Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling
title_short Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling
title_full Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling
title_fullStr Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling
title_full_unstemmed Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling
title_sort slope stability and rockfall assessment of volcanic tuffs using rpas with 2-d fem slope modelling
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2018-02-01
description Steep, hardly accessible cliffs of rhyolite tuff in NE Hungary are prone to rockfalls, endangering visitors of a castle. Remote sensing techniques were employed to obtain data on terrain morphology and to provide slope geometry for assessing the stability of these rock walls. A RPAS (Remotely Piloted Aircraft System) was used to collect images which were processed by Pix4D mapper (structure from motion technology) to generate a point cloud and mesh. The georeferencing was made by Global Navigation Satellite System (GNSS) with the use of seven ground control points. The obtained digital surface model (DSM) was processed (vegetation removal) and the derived digital terrain model (DTM) allowed cross sections to be drawn and a joint system to be detected. Joint and discontinuity system was also verified by field measurements. On-site tests as well as laboratory tests provided additional engineering geological data for slope modelling. Stability of cliffs was assessed by 2-D FEM (finite element method). Global analyses of cross sections show that weak intercalating tuff layers may serve as potential slip surfaces. However, at present the greatest hazard is related to planar failure along ENE–WSW joints and to wedge failure. The paper demonstrates that RPAS is a rapid and useful tool for generating a reliable terrain model of hardly accessible cliff faces. It also emphasizes the efficiency of RPAS in rockfall hazard assessment in comparison with other remote sensing techniques such as terrestrial laser scanning (TLS).
url https://www.nat-hazards-earth-syst-sci.net/18/583/2018/nhess-18-583-2018.pdf
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