Tran The Viet(1,3), Massimiliano Alvioli(2), Giha Lee(3), Hyun Uk An(4), 2018, Three-dimensional, time-dependent modeling of rainfall-induced landslides over a digital landscape_ a case study, Landslides (Berl., Print) 15 (2018): 1071–1084. doi_10.1007/s10346-017-0931-7,
URL: http://www.cnr.it/prodotto/i/376315

Physically based approaches for the regional assessment of slope stability using DEM topography usually consist of one-dimensional descriptions and include many simplifying assumptions with respect to more realistic, three-dimensional analyses. We investigated a new application of the well-known, publicly available software TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Analysis) in combination with Scoops3D, to analyze three-dimensional slope stability throughout a digital landscape in a time-dependent fashion, typically non implemented in three-dimensional models. TRIGRS was used to simulate the dynamic hydraulic conditions within the slopes induced by a rainstorm. Scoops3D then used the resulting pore water pressure for three-dimensional stability assessment. We applied this approach to the July 2011 landslide event in Mt. Umyeon, South Korea, and results were compared with the landslide initiation locations reported for this rainfall event. Soil depth in the study area was described by three different simple models. Stability maps, obtained by the one-dimensional (TRIGRS only) and three-dimensional (TRIGRS and Scoops3D), time-dependent approaches, were compared to observations to assess the timing and locations of unstable sites by means of a synthetic index, previously specifically developed for dealing with point landslide locations. We highlight the performance of the three-dimensional approach with respect to the one-dimensional method represented by TRIGRS alone, and the consistency of the time-dependence of the results obtained using the combined approach with observations.

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