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.
This is a preview of subscription content, log in via an institution to check access.
References
Caine N (1980) The rainfall intensity-duration control of shallow landslides and debris flows. Geogr Ann A 62:23–27
Cannon SH, Ellen SD (1985) Rainfall conditions for abundant debris avalanches, San Francisco Bay region, California. Cal Geol 38(12):267–272
Cannon SH, Gartner JE (2005) Wildfire-related debris flow from a hazards perspective. In: Jakob M, Hungr O (eds) Debris flow hazards and related phenomena. Springer, Berlin, pp 363–385
Capparelli G, Versace P (2011) FLaIR and SUSHI: two mathematical models for early warning systems for rainfall induced landslides. Landslides 8:67–79. doi:10.1007/s10346-010-0228-6
Capparelli G, Biondi D, De Luca DL, Versace P (2009) Hydrological and complete models for forecasting landslides triggered by rainfalls. In: Proceedings of the first Italian workshop on landslides, 8–10 June 2009, Napoli (Italy), pp 162–173
Corominas J, Ayala FJ, Cendrero A, Chacón J, DÃaz de Terán JR, Gonzáles A, Moja J, Vilaplana JM (2005) Impacts on natural hazard of climatic origin. In: ECCE final report: a preliminary assessment of the impacts in Spain due to the effects of climate change. Ministerio de Medio Ambiente
Crosta GB, Frattini P (2001) Rainfall thresholds for triggering soil slips and debris flow. In: Mugnai A, Guzzetti F, Roth G (eds) Proceedings 2nd EGS Plinius conference on Mediterranean storms, Siena, Italy, pp 463–487
Godt JW, Baum RL, Chleborad AF (2006) Rainfall characteristics for shallow landsliding in Seattle, Washington, USA. Earth Surf Proc Land 31:97–110
Guzzetti F, Peruccacci S, Rossi M, Stark CP (2007) Rainfall thresholds for the initiation of landslides in central and southern Europe. Meteorol Atmos Phys 98:239–267
Guzzetti F, Peruccacci S, Rossi M, Stark CP (2008) The rainfall intensity-duration control of shallow landslides and debris flows: an update. Landslides 5:3–17
Iiritano G, Versace P, Sirangelo B (1998) Real-time estimation of hazard for landslides triggered by rainfall. Environ Geol 35(2–3):175–183
Nadim F, Cepeda J, Sandersen F, Jaedicke C, Heyerdahl H (2009) Prediction of rainfall-induced landslides through empirical and numerical models. In: Proceeedings of IWL—The first Italian workshop on landslides, vol 1. Naples, 8/10 June 2009, pp 206—215
Sirangelo B, Versace P (1996) A real time forecasting model for landslides triggered by rainfall. Meccanica 31(1):73–85
Sirangelo B, Versace P, De Luca DL (2007) Rainfall nowcasting by at site stochastic model P.R.A.I.S.E. Hydrol Earth Syst Sci 11:1341–1351
Wieczorek GF (1987) Effect of rainfall intensity and duration on debris flows in central Santa Cruz Mountains, California. Geol Soc of Am Rev in Eng Geol 7:93–104
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Versace, P., Capparelli, G., De Luca, D.L. (2018). TXT-tool 2.039-4.1: FLaIR Model (Forecasting of Landslides Induced by Rainfalls). In: Sassa, K., et al. Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools . Springer, Cham. https://doi.org/10.1007/978-3-319-57774-6_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-57774-6_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57773-9
Online ISBN: 978-3-319-57774-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)