Preliminary regional rockfall hazard mapping using LIDAR-based slope frequency distribution and CONEFALL modeling
Détails
ID Serval
serval:BIB_22C88777FD7B
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Preliminary regional rockfall hazard mapping using LIDAR-based slope frequency distribution and CONEFALL modeling
Titre de la conférence
Proceedings of the 4th Canadian Conference on Geohazards : From Causes to Management
Editeur
Canadian Geotechnical Society
Organisation
Journal of Geological Association of Canada
ISBN
2978763787473
Statut éditorial
Publié
Date de publication
2008
Editeur⸱rice scientifique
Locat J., Perret D., Turmel D., Demers D., Leroueil S.
Volume
35
Langue
anglais
Notes
Loye2008
Résumé
A factor limiting preliminary rockfall hazard mapping at regional
scale is often the lack of knowledge of potential source areas. Nowadays,
high resolution topographic data (LiDAR) can account for realistic
landscape details even at large scale. With such fine-scale morphological
variability, quantitative geomorphometric analyses become a relevant
approach for delineating potential rockfall instabilities. Using
digital elevation model (DEM)-based ?slope families? concept over
areas of similar lithology and cliffs and screes zones available
from the 1:25,000 topographic map, a susceptibility rockfall hazard
map was drawn up in the canton of Vaud, Switzerland, in order to
provide a relevant hazard overview. Slope surfaces over morphometrically-defined
thresholds angles were considered as rockfall source zones. 3D modelling
(CONEFALL) was then applied on each of the estimated source zones
in order to assess the maximum runout length. Comparison with known
events and other rockfall hazard assessments are in good agreement,
showing that it is possible to assess rockfall activities over large
areas from DEM-based parameters and topographical elements.
scale is often the lack of knowledge of potential source areas. Nowadays,
high resolution topographic data (LiDAR) can account for realistic
landscape details even at large scale. With such fine-scale morphological
variability, quantitative geomorphometric analyses become a relevant
approach for delineating potential rockfall instabilities. Using
digital elevation model (DEM)-based ?slope families? concept over
areas of similar lithology and cliffs and screes zones available
from the 1:25,000 topographic map, a susceptibility rockfall hazard
map was drawn up in the canton of Vaud, Switzerland, in order to
provide a relevant hazard overview. Slope surfaces over morphometrically-defined
thresholds angles were considered as rockfall source zones. 3D modelling
(CONEFALL) was then applied on each of the estimated source zones
in order to assess the maximum runout length. Comparison with known
events and other rockfall hazard assessments are in good agreement,
showing that it is possible to assess rockfall activities over large
areas from DEM-based parameters and topographical elements.
Création de la notice
25/11/2013 16:26
Dernière modification de la notice
20/08/2019 13:00
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