Mathematical models for landslide forecasting constitute an important component for Early Warning Systems. This teaching tool focuses on the empirical model named FLaIR (Forecasting of Landslides Induced by Rainfalls), developed at Laboratory of Environmental Carthography and Hydraulic and Geological Modelling (CAMILab) of University of Calabria (Italy). FLaIR is a general framework for many empirical models proposed in technical literature: in particular, it reproduces as particular cases all the ID (Intensity-Duration) schemes (Capparelli and Versace 2011). From the website www.camilab.unical.it it is possible to download the software FLaIR.exe, together with a user guide.

TXT-tool 2.039-4.1: Flair model (forecasting of landslides induced by rainfalls) / Versace, P.; Capparelli, G.; De Luca, D. L.. - (2018), pp. 381-389. [10.1007/978-3-319-57774-6_28].

TXT-tool 2.039-4.1: Flair model (forecasting of landslides induced by rainfalls)

De Luca D. L.
2018

Abstract

Mathematical models for landslide forecasting constitute an important component for Early Warning Systems. This teaching tool focuses on the empirical model named FLaIR (Forecasting of Landslides Induced by Rainfalls), developed at Laboratory of Environmental Carthography and Hydraulic and Geological Modelling (CAMILab) of University of Calabria (Italy). FLaIR is a general framework for many empirical models proposed in technical literature: in particular, it reproduces as particular cases all the ID (Intensity-Duration) schemes (Capparelli and Versace 2011). From the website www.camilab.unical.it it is possible to download the software FLaIR.exe, together with a user guide.
2018
Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools: Volume 1: Fundamentals, Mapping and Monitoring
9783319577739
9783319577746
early warning systems; empirical models; landslide forecasting
02 Pubblicazione su volume::02a Capitolo o Articolo
TXT-tool 2.039-4.1: Flair model (forecasting of landslides induced by rainfalls) / Versace, P.; Capparelli, G.; De Luca, D. L.. - (2018), pp. 381-389. [10.1007/978-3-319-57774-6_28].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1705732
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