Learning Case Study of a Shallow-Water Model to Assess an Early-Warning System for Fast Alpine Muddy-Debris-Flow

Learning Case Study of a Shallow-Water Model to Assess an Early-Warning System for Fast Alpine Muddy-Debris-Flow

The current climate change could lead to an intensification of extreme weather events, such as sudden floods and fast flowing debris flows. Accordingly, the availability of an early-warning device system, based on hydrological data and on both accurate and very fast running mathematical-numerical mo...

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Bibliographic Details
Main Authors: Antonio Pasculli, Jacopo Cinosi, Laura Turconi, Nicola Sciarra
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Water
Subjects:
numerical modelling
muddy flow
shallow water
parametric sensitivity analyses
rheological laws
GPU approach
Online Access:https://www.mdpi.com/2073-4441/13/6/750

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