2011 · 16 citations · 14 references
ComputingGeographyGeoinformaticsDigital Elevation ModelingGeographic Information ScienceGeographic Information SystemsDigital Elevation ModelsDigital Terrain ModelingHazard AssessmentHazard MappingMountain HazardsNatural HazardsDebris Flow DynamicsDebris Flow Hazard AssessmentDigital Elevation Model AnalysisDigital Elevation Model-based Hazard MappingGeographic Information Systems (Gis) ApplicationsGeographic Information Systems-based Hazard MappingHazard Susceptibility ModelingSocio-economic Impact Assessment
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 devel- opment of indicative susceptibility hazard maps is of primary importance, particularly in developing countries. However, the complexity of the phenom- enon and the variability of local controlling factors limit the use of processbased models for a first as - sessment. 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 Pa- kistan, 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.
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Drainage networks from grid digital elevation models
John Fairfield, Pierre Leymarie · Water Resources Research · 1991 · 597 citations