Numerical modeling and characterization of a peculiar flow-like landslide

Abstract

Background: On March 25th, 2015, a rapid landslide occurred upstream of the village of Gessi-Mazzalasino, in the municipality of Scandiano, affecting two buildings. Rapid landslides, due to their high velocity and mobility, can affect large areas and cause extensive damage. Considering the often unpredictable kinematics of landslides, the post-failure behavior has been studied by many authors to predict the landslide runout phase for hazard assessment. Findings: With the aim of characterizing the Gessi-Mazzalasino landslide, field surveys were integrated with the results of laboratory tests. The geometric characteristics (thickness, area and volume) and kinematic aspects of the landslide were estimated by using a laser scanning survey and geomorphological data. To model the landslide and obtain its rheological parameters, a back analysis of the event was performed by means of a depth-averaged 3D numerical code called DAN3D. The results of the back analysis of the landslide propagation were validated with field surveys and velocity estimations along selected sections of the landslide. Finally, potential areas prone to failure or reactivation were identified, and a new simulation was performed that considered the back-calculated rheological parameters. Conclusions: Rapid landslides are one of the most dangerous natural hazards and are one of the most frequent natural disasters in the world. Therefore, prediction of post-failure motion is an essential component of hazard assessment when a potential source of a mobile landslide it is located. To assess the risk affecting the area, both numerical and empirical methods have been proposed, in order to predict the runout phase of the phenomenon. For the numerical modelling of the landslide, carried out with DAN-3D code, the best results were obtained by using a Voellmy reological model, with a constant turbulence parameter (ξ) of 250 m/s 2 and a friction parameter (μ) comprised between 0.15 and 0.19. The rheological parameters obtained through dynamic back analyses were used to evaluate the propagation phase and the deposition areas of new potential landslides, that could affect the same area of the 25th March 2015 event. The predicted runout length obtained by the DAN3D software was compared to runout lengths predicted by the

A Study on the Geo-Environmental and Social Impacts of Koottickal and Kokkayar Landslides

“…Inadequate knowledge about these hazards negatively impacts socio-economic development in these regions. Mathematical and numerical models have been developed to identify and assess areas susceptible to rainfall-induced landslides (Liu et al 2006;Ceccatelli et al 2017). Various factors, including rainfall, melting snow, temperature changes, tremors and vibrations on earth, volcanic activity, and anthropoid activity, can affect the stability of slopes (Geertsema et al 2009;Høeg 2013;Setyawan et al 2021; Komadja et al 2021).…”