Debris flow susceptibility mapping at a regional scale along the National Road N7, Argentina
Détails
ID Serval
serval:BIB_503AC1ACD7AB
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
Debris flow susceptibility mapping at a regional scale along the National Road N7, Argentina
Titre de la conférence
Proceedings of the 14th Pan-American Conference on Soil Mechanics and Geotechnical Engineering
Editeur
Canadian Geotechnical Society
Statut éditorial
Publié
Date de publication
2011
Langue
anglais
Notes
Baumann2011
Résumé
A first assessment of debris flow susceptibility at a large scale
was performed along the National Road N7, Argentina. Numerous catchments
are prone to debris flows and likely to endanger the road-users.
A 1:50,000 susceptibility map was created. The use of a DEM (grid
30 m) associated to three complementary criteria (slope, contributing
area, curvature) allowed the identification of potential source areas.
The debris flow spreading was estimated using a process- and GISbased
model (Flow-R) based on basic probabilistic and energy calculations.
The best-fit values for the coefficient of friction and the mass-to-drag
ratio of the PCM model were found to be ? = 0.02 and M/D = 180 and
the resulting propagation on one of the calibration site was validated
using the Coulomb friction model. The results are realistic and will
be useful to determine which areas need to be prioritized for detailed
studies.
was performed along the National Road N7, Argentina. Numerous catchments
are prone to debris flows and likely to endanger the road-users.
A 1:50,000 susceptibility map was created. The use of a DEM (grid
30 m) associated to three complementary criteria (slope, contributing
area, curvature) allowed the identification of potential source areas.
The debris flow spreading was estimated using a process- and GISbased
model (Flow-R) based on basic probabilistic and energy calculations.
The best-fit values for the coefficient of friction and the mass-to-drag
ratio of the PCM model were found to be ? = 0.02 and M/D = 180 and
the resulting propagation on one of the calibration site was validated
using the Coulomb friction model. The results are realistic and will
be useful to determine which areas need to be prioritized for detailed
studies.
Création de la notice
25/11/2013 17:26
Dernière modification de la notice
20/08/2019 15:06
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