Frequent heavy precipitations characterize the northeastern Italy, where the Friuli Venezia Giulia (FVG) region is located. Mountain basins of the eastern Italian Alps are part of the upper Tagliamento river catchment, which is the major river system of the FVG region. The combination between precipitation regimes and geomorphological characteristics of the mountainous alpine environment makes this area highly susceptible to natural hazards induced by intense precipitation, with particular regard to debris flow and shallow diffusive landslides. A suitable modeling framework would include a chain constituted by a rainfall-runoff hydrological model and a hydro-morphodynamic model. In this paper we focus on the first step of the mentioned modeling chain by carrying out first a screening of data available, then the calibration and validation of a semi-distributed hydrological model in a sub-basin of the Fella river basin.

Calibrating and validating a semi-distributed hydrological model on a mountain basin.

Zoratti Veronica;
2022-01-01

Abstract

Frequent heavy precipitations characterize the northeastern Italy, where the Friuli Venezia Giulia (FVG) region is located. Mountain basins of the eastern Italian Alps are part of the upper Tagliamento river catchment, which is the major river system of the FVG region. The combination between precipitation regimes and geomorphological characteristics of the mountainous alpine environment makes this area highly susceptible to natural hazards induced by intense precipitation, with particular regard to debris flow and shallow diffusive landslides. A suitable modeling framework would include a chain constituted by a rainfall-runoff hydrological model and a hydro-morphodynamic model. In this paper we focus on the first step of the mentioned modeling chain by carrying out first a screening of data available, then the calibration and validation of a semi-distributed hydrological model in a sub-basin of the Fella river basin.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3036104
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