Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale: some case studies

Details

Serval ID
serval:BIB_32AED35667A4
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Flow-R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale: some case studies
Title of the conference
5th International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction and Assessment
Author(s)
Horton P., Jaboyedoff M., Zimmermann M., Mazotti B., Longchamp C.
Publisher
Casa Editrice Università La Sapienza
Publication state
Published
Issued date
2011
Editor
Genevois R., Hamilton D.L., Prestininzi A.
Pages
875-884
Language
english
Notes
Horton2011
Abstract
Every year, debris flows cause huge damage in mountainous areas. Due
to population pressure in hazardous zones, the socio-economic impact
is much higher than in the past. Therefore, the development of indicative
susceptibility hazard maps is of primary importance, particularly
in developing countries. However, the complexity of the phenomenon
and the variability of local controlling factors limit the use of
processbased models for a first assessment. A debris flow model has
been developed for regional susceptibility assessments using digital
elevation model (DEM) with a GIS-based approach.. The automatic identification
of source areas and the estimation of debris flow spreading, based
on GIS tools, provide a substantial basis for a preliminary susceptibility
assessment at a regional scale. One of the main advantages of this
model is its workability. In fact, everything is open to the user,
from the data choice to the selection of the algorithms and their
parameters. The Flow-R model was tested in three different contexts:
two in Switzerland and one in Pakistan, for indicative susceptibility
hazard mapping. It was shown that the quality of the DEM is the most
important parameter to obtain reliable results for propagation, but
also to identify the potential debris flows sources.
Keywords
Model, regional, debris flow, susceptibility mapping
Create date
25/11/2013 17:26
Last modification date
20/08/2019 14:18
Usage data