Nature-based solutions (NBS) are increasingly recognized as effective strategies for mitigating weather-induced landslides. Among the key mechanisms, vegetation can enhance slope stability by regulating the energy and water balances through evapotranspiration (ET), which lowers pore water pressure and consequently reduces landslide risk.
This study investigates the sensitivity of ET estimates to variations in vegetation constitutive properties within a physically based thermo-hydraulic framework. A Python-based tool was developed to perform back-analysis and sensitivity analyses under dif-ferent meteorological conditions, quantifying the influence of vegetation-specific parameters on ET dynamics.
The application focuses on a clayey soil cover in a landslide-prone area, where the engineered vegetation mix Prati Armati® (Poaceae species) has been introduced. By systematically varying input parameters across different growth stages, we delineate theoretical ranges of ET fluxes associated with these species.
3rd International Workshop on Soil-Vegetation-Atmosphere Interaction (RootS2025)
1b. Site-scale hydrological processes within the RootS environmental domain" – Runoff and leaf interception"