
Pavel Mentlik
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Régis Braucher
Centre Européen de Recherche et d’Enseignement des Géosciences de l’Environnement
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Institute of Rock Structure and Mechanics, Academy of Sciences of the Czech Republic
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Aix-Marseille University
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Papers by Pavel Mentlik
of their temporal and causal relationship to extrinsic factors such as climatic changes, glacier retreat or
seismic activity remains elusive. Based on the terrestrial cosmogenic nuclide (TCN) dating of 18 sackung
scarps supported by one radiocarbon-dated scarp, we reconstructed the post-glacial chronology of
sackungen in the Tatra Mts. (central Europe, Slovakia and Poland), the highest part of the Carpathians.
The obtained ages (~15.7 e 4.3 ka) indicate that sackungen post-date the regional LGM and some of them
originated soon after the glacier withdrawal from adjacent valleys. Furthermore, systematic decrease of
scarp ages with their increasing altitude suggests a direct link between sackung origin and post-LGM
glacier thinning. However, substantial lag (>5 ka) of some sackungen in respect to glacier retreat im-
plies complex relationships between sackung onset and deglaciation where retreat of glaciers acted
predominantly as a preparatory, not a triggering factor during the genesis of these slope deformations.
They originated either as a consequence of stress relaxation within the rock mass lasting several ka or
alternatively could be triggered by climatic processes or seismicity. Indeed, a significant part of sackung
activity took place during predominantly warmer and more humid periods, with some dates coinciding
with the Bølling e Allerød chronozone, but especially with the onset of the Holocene and the Holocene
Climatic Optimum. Earthquake triggering is less probable, as the Tatra Mts. lack significant modern and
historic seismic activity and there is no geomorphic evidence of fault offsets on the Late Quaternary
landforms. In concert with other recent studies, we propose that large rock slope failures in high
mountains seldom react immediately to glacier withdrawal, but could display temporal delay lasting up
to several millennia.
An information system storing relevant geomorphological data and equipped with special analytical tools for geomorphological research can be termed a Geomorphological information system (GmIS). GmIS should maintain a complex geomorphological database, allow the user to generate specific geomorphologic information and create (carto)graphic, statistic and other outputs. An attempt to create conceptual and logical models of GmIS is presented here. The proposed GmIS is based on GIS technology with layered database structure, divided into three main parts. Adopted layers imply existing geomorphologically relevant information from non-geomorphological sources. The basic geomorphological layers represent the most frequently used immanent geomorphological data: DEM and its derivates, documentation materials, elementary forms, basins, groups of genetic landforms, morphodynamic phenomena and geomorphic network. The special geomorphological layers are based on the above and are created by processing them. From many possible two examples of geomorphological and morphostructural analysis are outlined. ESRI ArcGIS is suggested as the management system for geomorphological data.
project.
of their temporal and causal relationship to extrinsic factors such as climatic changes, glacier retreat or
seismic activity remains elusive. Based on the terrestrial cosmogenic nuclide (TCN) dating of 18 sackung
scarps supported by one radiocarbon-dated scarp, we reconstructed the post-glacial chronology of
sackungen in the Tatra Mts. (central Europe, Slovakia and Poland), the highest part of the Carpathians.
The obtained ages (~15.7 e 4.3 ka) indicate that sackungen post-date the regional LGM and some of them
originated soon after the glacier withdrawal from adjacent valleys. Furthermore, systematic decrease of
scarp ages with their increasing altitude suggests a direct link between sackung origin and post-LGM
glacier thinning. However, substantial lag (>5 ka) of some sackungen in respect to glacier retreat im-
plies complex relationships between sackung onset and deglaciation where retreat of glaciers acted
predominantly as a preparatory, not a triggering factor during the genesis of these slope deformations.
They originated either as a consequence of stress relaxation within the rock mass lasting several ka or
alternatively could be triggered by climatic processes or seismicity. Indeed, a significant part of sackung
activity took place during predominantly warmer and more humid periods, with some dates coinciding
with the Bølling e Allerød chronozone, but especially with the onset of the Holocene and the Holocene
Climatic Optimum. Earthquake triggering is less probable, as the Tatra Mts. lack significant modern and
historic seismic activity and there is no geomorphic evidence of fault offsets on the Late Quaternary
landforms. In concert with other recent studies, we propose that large rock slope failures in high
mountains seldom react immediately to glacier withdrawal, but could display temporal delay lasting up
to several millennia.
An information system storing relevant geomorphological data and equipped with special analytical tools for geomorphological research can be termed a Geomorphological information system (GmIS). GmIS should maintain a complex geomorphological database, allow the user to generate specific geomorphologic information and create (carto)graphic, statistic and other outputs. An attempt to create conceptual and logical models of GmIS is presented here. The proposed GmIS is based on GIS technology with layered database structure, divided into three main parts. Adopted layers imply existing geomorphologically relevant information from non-geomorphological sources. The basic geomorphological layers represent the most frequently used immanent geomorphological data: DEM and its derivates, documentation materials, elementary forms, basins, groups of genetic landforms, morphodynamic phenomena and geomorphic network. The special geomorphological layers are based on the above and are created by processing them. From many possible two examples of geomorphological and morphostructural analysis are outlined. ESRI ArcGIS is suggested as the management system for geomorphological data.
project.