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Nat. Hazards Earth Syst. Sci., 15, 715-722, 2015
https://doi.org/10.5194/nhess-15-715-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
01 Apr 2015
Multi-temporal LiDAR-DTMs as a tool for modelling a complex landslide: a case study in the Rotolon catchment (eastern Italian Alps)
G. Bossi1, M. Cavalli1, S. Crema1, S. Frigerio1, B. Quan Luna2, M. Mantovani1, G. Marcato1, L. Schenato1, and A. Pasuto1 1CNR-IRPI – National Research Council of Italy, Research Institute for Geo-Hydrological Protection, Padova, Italy
2DNV GL – Strategic Research and Innovation, Høvik, Norway
Abstract. The geomorphological change detection through the comparison of repeated topographic surveys is a recent approach that benefits greatly from the latest developments in topographical data acquisition techniques. Among them, airborne LiDAR makes the monitoring of geomorphological changes a more reliable and accurate approach for natural hazard and risk management. In this study, two LiDAR digital terrain models (DTMs) (2 m resolution) were acquired just before and after a complex 340 000 m3 landslide event (4 November 2010) that generated a debris flow in the channel of the Rotolon catchment (eastern Italian Alps). The analysis of these data was used to set up the initial condition for the application of a dynamic model.

The comparison between the pre- and post-event DTMs allowed us to identify erosion and depositional areas and the volume of the landslide. The knowledge of the phenomenon dynamics was the base of a sound back analysis of the event with the 3-D numerical model DAN3D. This particular code was selected for its capability to modify the rheology and the parameters of the moving mass during run-out, as actually observed along the path of the 2010 debris flow.

Nowadays some portions of Mt. Rotolon flank are still moving and show signs of detachment. The same soil parameters used in the back-analysis model could be used to simulate the run-out for possible future landslides, allowing us to generate reliable risk scenarios useful for awareness of civil defense and strategy of emergency plans.


Citation: Bossi, G., Cavalli, M., Crema, S., Frigerio, S., Quan Luna, B., Mantovani, M., Marcato, G., Schenato, L., and Pasuto, A.: Multi-temporal LiDAR-DTMs as a tool for modelling a complex landslide: a case study in the Rotolon catchment (eastern Italian Alps), Nat. Hazards Earth Syst. Sci., 15, 715-722, https://doi.org/10.5194/nhess-15-715-2015, 2015.
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