Skip to main content

Deterministic and Probabilistic Rainfall Thresholds for Landslide Forecasting

  • Conference paper
  • First Online:
Advancing Culture of Living with Landslides (WLF 2017)

Included in the following conference series:

Abstract

In this paper, authors focus attention on different threshold schemes, which can be adopted when a model is used for landslide forecasting. In some cases they represent the occurrence probability of a landslide, in other cases the exceedance probability of a critical value for an assigned mobility function Y (a function of rainfall heights), indicated as Y cr , and in further cases they only indicate the exceeding of Y cr or its prefixed percentages. Clearly, the discussion here reported can be easily extended to the case of flood forecasting models. The empirical model named FLaIR (Forecasting of Landslides Induced by Rainfall, Capparelli and Versace 2011) is used for the study area of Gimigliano municipality (located in Calabria region, southern Italy), characterized by a database with 27 historical landslide events in the period 1940–2011.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bennett ND, Croke BFW, Guariso G, Guillame JHA, Hamilton SH, Jakeman AJ, Marsili-Libelli S, Newham LTH, Norton JP, Perrin C, Pierce SA, Robson B, Seppelt R, Voinov AA, Fath BD, Andreassian V (2013) Characterising performance of environmental models. Environ Modell Softw 40:1–20

    Article  Google Scholar 

  • Bianchini S, Cigna F, Del Ventisette C, Moretti S, Casagli N (2013) Monitoring landslide-induced displacements with TerraSAR-X persistent scatterer interferometry (PSI): Gimigliano case study in Calabria region (Italy). Int J Geosci 4:1467–1482

    Article  Google Scholar 

  • Caine N (1980) The rainfall intensity-duration control of shallow landslides and debris flows. Geogr Ann A 62:23–27

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • De Luca DL, Versace P (2016) A comprehensive framework for empirical modeling of landslides induced by rainfall: the Generalized FLaIR Model (GFM). Landslides (article in press). doi:10.1007/s10346-016-0768-5

  • Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27(8)

    Google Scholar 

  • Frattini P, Crosta G, Carrara A (2010) Techniques for evaluating the performance of landslide susceptibility models. Eng Geol 111(1–4):62–72. doi:10.1016/j.enggeo.2009.12.004

    Article  Google Scholar 

  • Guzzetti F, Cardinali M, Reichenbach P (1994) The AVI project: a bibliographical and archive inventory of landslides and floods in Italy. Environ Manag 18(4):623–633

    Article  Google Scholar 

  • Heyerdahl H, Harbitz CB, Domaas U, Sandersen F, Tronstad K, Nowacki F, Engen A, Kjekstad O, Dévoli G, Buezo SG, Diaz MR, Hernandez W (2003) Rainfall induced lahars in volcanic debris in Nicaragua and El Salvador: practical mitigation. In: Proceedings of international conference on fast slope movements—prediction and prevention for risk mitigation, IC-FSM2003. Patron Pub, Naples, pp 275–282

    Google Scholar 

  • Sirangelo B, Versace P (1996) A real time forecasting model for landslides triggered by rainfall. Meccanica 31(1):73–85

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Davide L. De Luca .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Versace, P., De Luca, D.L. (2017). Deterministic and Probabilistic Rainfall Thresholds for Landslide Forecasting. In: Mikoš, M., Casagli, N., Yin, Y., Sassa, K. (eds) Advancing Culture of Living with Landslides. WLF 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-53485-5_18

Download citation

Publish with us

Policies and ethics