Incorporating the Effects of Complex Soil Layering and Thickness Local Variability into Distributed Landslide Susceptibility Assessments

Incorporating the influence of soil layering and local variability into parameterizations physics-based numerical models for distributed landslide susceptibility assessments remains a challenge. Typical applications employ substantial simplifications including homogeneous units soil-hydraulic properties assigned based only on average textural classifications; potential impact these assumptions is usually disregarded. We present multi-scale approach parameterizing Transient Rainfall Infiltration Grid-Based Regional Slope-Stability (TRIGRS) model that accounts site-specific spatial variations in both thickness complex by defining vary spatially each grid cell. These effective allow TRIGRS to accurately simulate timing distribution slope failures without any modification structure. implemented this carbonate ridge Sarno Mountains (southern Italy) whose slopes are mantled layered soils pyroclastic origin. The urbanized foot enveloping mountains among most landslide-prone areas Italy have been subjected repeated occurrences damaging deadly rainfall-induced flow-type shallow landslides. At scope, primary local-scale application was calibrated rainfall thresholds, previously determined coupled VS2D (version 1.3) hydrological modeling stability analysis. Subsequently, taking account vertical heterogeneity mechanical properties, assessment hazard carried out means TRIGRS. combination approaches led under different hypothetical intensities antecedent conditions. This can be adapted other variable improve assessments.