Abstract
During the period 2008–2010 heavy and persistent rainfall events induced thousands of shallow landslides and hundreds of deep-seated landslides in Calabria Region (Southern Italy), with more than 2,000 crisis points and damages related to about 94 % of the municipalities. These events are comparable, or even worse, with those occurred in the 50’s and in the early 70’s. In this context, the performance of mathematical models, which are used for the Early Warning System of Calabria Region, is evaluated. In details, Intensity–Duration (I–D) thresholds for several temporal aggregations (hourly and multi daily) of rainfall heights and the hydrological model named FLaIR (Forecasting of Landslides Induced by Rainfall, Sirangelo and Versace 1996) are considered. Moreover, the use of a regional approach for these models was also tested, which is particularly useful when it is necessary to predict the triggering of landslide movements in vast areas where there are concerns not only about the reactivation of pre-existing movements, but also activation of new movements whose exact location is unforeseeable and for which there is no available past information. The obtained results highlight a good model performance, in particular for FLaIR, which can be considered as a general case of I–D rainfall thresholds (Capparelli et al. 2009) and it is characterized by a more flexibility, as it takes into account the real pattern of rainfall heights along the time, and not average values of temporal intensity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baum RL, Godt JW, Savage WZ (2010) Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration. J Geophys Res 115:1–26
Caine N (1980) The rainfall intensity-duration control of shallow landslides and debris flows. Geogr Ann 62A(1–2):23–27
Campbell RH (1975) Soil slips, debris flows and rainstorms in the Santa Monica Mountains and vicinity, Southern California. U.S. Geological Survey Professional Paper 851
Capparelli G, Tiranti D (2010) Application of the MoniFLaIR as an early warning system for rainfall-induced landslides in Piedmont region (Italy). Landslides 7(4):401–410
Capparelli G, Versace P (2011) FLaIR and SUSHI: two mathematical models for Early Warning Systems for rainfall induced landslides. Landslides 8:67–79
Capparelli G, Versace P (2013) On verification of Forecasting Capability of the FLaIR regional model in Landslide Early Warning. In: Margottini C, Canuti P, Sassa K (eds) Landslide science and practice, vol 6. Springer, Heidelberg, pp 773–778
Capparelli G, Biondi D, De Luca DL, Versace P (2009) Hydrological and complete models for landslides triggered by rainfalls. Proceedings of IWL—the first Italian workshop on landslides, rainfall-induced landslides: mechanisms, monitoring techniques and nowcasting models for early warning systems, Naples, 8–10 June 2009, vol 1, pp 162–173, Doppiavoce Edizioni, Napoli, ISBN: 978-88-89972-12-0
Cascini L, Versace P (1988) Relationship between rainfall and landslide in a gneissic cover. In: Proceedings of the fifth international symposium on landslides, Lausanne, pp 565–570
Cepeda J, Hoeg K, Nadim F (2010) Landslide-triggering rainfall thresholds: a conceptual framework. Q J Eng Geol Hydrogeol 43(1):69–84
D’Orsi RN, D’Avila C, Ortigao JAR, Moraes L, Santos MD (1997) Rio-The Rio de Janeiro landslide watch. In: Proceedings of 2nd PSL Pan-Am symposium on landslides, Rio de Janeiro, vol 1, pp 21–30
Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27(8):861–874
Gabet EJ, Burbank DW, Putkonen JK, Pratt-Sitaula BA, Ojha T (2004) Rainfall thresholds for landsliding in the Himalayas of Nepal. Geomorphology 63:131–143
Guzzetti F, Peruccacci S, Rossi M, Stark CP (2007) Rainfall thresholds for the initiation of landslides in central and southern Europe. Meteorog 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. doi:10.1007/s002540050303
Iverson RM (2000) Landslide triggering by rain infiltration. Water Resour Res 36:1897–1910
MacQueen JB (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of 5th Berkeley symposium on mathematical statistics and probability, vol 1, University of California Press, Berkeley, pp 281–297
Montgomery DR, Dietrich WE (1994) A physically based model topographic control on shallow landsliding. Water Resour Res 30:1153–1171
NGI report (2012) Statistical and empirical models for prediction of precipitation-induced landslides. Safeland Project—Deliverable D1.5
Simoni S, Zanoti F, Bertoldi G, Rigon R (2007) Modelling the probability of occurrence of Avallo lanslides and channelized debris flow using GEOtop_FS. Hydrological processes. Wiley InterScience
Sirangelo B, Versace P (1996) A real time forecasting model for landslides triggered by rainfall. Meccanica 31(1):73–85
Versace P, Arcuri S, Biondi D, Capparelli G, Cruscomagno F, De Luca DL, Leone S, Maletta D, Niccoli R (2012). Sistemi di allertamento e difesa del suolo in Calabria (Early warning systems and soil conservation in calabria, in Italian). In: Proceedings of XXXIII Italian national conference on hydraulics and hydraulic engineering, Brescia, Italy, 10–15 September 2012
Wilson RC, Wieczorek GF (1995) Rainfall thresholds for the initiation of debris flow at La Honda, California. Environ Eng Geosci 1(1):11–27
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
De Luca, D.L., Versace, P., Capparelli, G. (2014). Performance of I–D Thresholds and FLaIR Model for Recent Landslide Events in Calabria Region (Southern Italy). In: Sassa, K., Canuti, P., Yin, Y. (eds) Landslide Science for a Safer Geoenvironment. Springer, Cham. https://doi.org/10.1007/978-3-319-04996-0_43
Download citation
DOI: https://doi.org/10.1007/978-3-319-04996-0_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04995-3
Online ISBN: 978-3-319-04996-0
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)