HR: 1340h
AN: H43E-1669    [Abstracts]
TI: Flow routing algorithms and landslide modelling
AU: * Rulli, M
EM: cristina.rulli@polimi.it
AF: Dipartimento Di Ingegneria Idraulica, Ambientale, Infrastrutture Viarie e Rilevamento, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano, 20133, Italy
AU: Nardi, F
EM: fernando.nardi@unitus.it
AF: GEMINI Department, University of Tuscia, via S. Camillo de Lellis snc, Viterbo, 0100, Italy
AU: Nardi, F
EM: fernando.nardi@unitus.it
AF: Honors Center of Italian Universities (H2CU), University of Rome La Sapienza, via Eudossiana 18, Rome, 00184, Italy
AU: Santini, M
EM: monia.santini@unitus.it
AF: Honors Center of Italian Universities (H2CU), University of Rome La Sapienza, via Eudossiana 18, Rome, 00184, Italy
AU: Santini, M
EM: monia.santini@unitus.it
AF: DiSAFRi Department, University of Tuscia, via S. Camillo de Lellis, Viterbo, 01100, Italy
AU: Petroselli, A
EM: petro@unitus.it
AF: GEMINI Department, University of Tuscia, via S. Camillo de Lellis snc, Viterbo, 0100, Italy
AU: Grimaldi, S
EM: salvatore.grimaldi@unitus.it
AF: GEMINI Department, University of Tuscia, via S. Camillo de Lellis snc, Viterbo, 0100, Italy
AU: Grimaldi, S
EM: salvatore.grimaldi@unitus.it
AF: Honors Center of Italian Universities (H2CU), University of Rome La Sapienza, via Eudossiana 18, Rome, 00184, Italy
AB: The physical processes governing shallow landslide triggering can be ascribed to hydrological and geomechanic forcings. Modelling shallow landslide triggering via hydrogeomorphic spatially distributed model requires to extract for any location in the river basin the geomorphic and hydrologic attributes. The Digital Elevation Models allow an easy quantification of several morphologic and hydrologic landscape properties e.g. primary attributes such as slope, aspect, plan and profile curvature, flow path lengths and secondary attributes such as topographic index and drainage area per unit contour length. Although all of these attributes are used when assessing the hydrological forcings to shallow landslide triggering, it has to be stressed that the flow direction and accumulation algorithm plays a significant role in the accurate physical representation of those water-driven slope instability phenomena. In this study three flow direction algorithm (D8, D8-LTD and Dinf) are applied in conjunction with three DEM correction techniques for the treatment of pits and flat areas, in order to determine the terrain attributes needed as input for the hydrogeomorphic model Shalstab. Quantitative results corresponding to the implementation of the different hydrogeomorphic terrain analysis algorithms on different case studies provide an objective framework for testing the accuracy and performance of the different schemes in relation to the DEM-based hydrogeomorphic prediction of shallow landslides.
DE: 1804 Catchment
DE: 1810 Debris flow and landslides
DE: 1847 Modeling
SC: Hydrology [H]
MN: 2007 Fall Meeting