Articles | Volume 44
https://doi.org/10.5194/adgeo-44-53-2017
https://doi.org/10.5194/adgeo-44-53-2017
02 Jun 2017
 | 02 Jun 2017

Diversity of Rainfall Thresholds for early warning of hydro-geological disasters

Davide L. De Luca and Pasquale Versace

Related authors

Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application
Emanuele Intrieri, Federica Bardi, Riccardo Fanti, Giovanni Gigli, Francesco Fidolini, Nicola Casagli, Sandra Costanzo, Antonio Raffo, Giuseppe Di Massa, Giovanna Capparelli, and Pasquale Versace
Nat. Hazards Earth Syst. Sci., 17, 1713–1723, https://doi.org/10.5194/nhess-17-1713-2017,https://doi.org/10.5194/nhess-17-1713-2017, 2017
Short summary
Evaluating performance of simplified physically based models for shallow landslide susceptibility
Giuseppe Formetta, Giovanna Capparelli, and Pasquale Versace
Hydrol. Earth Syst. Sci., 20, 4585–4603, https://doi.org/10.5194/hess-20-4585-2016,https://doi.org/10.5194/hess-20-4585-2016, 2016
Short summary
Analysis of landslide triggering conditions in the Sarno area using a physically based model
G. Capparelli and P. Versace
Hydrol. Earth Syst. Sci., 18, 3225–3237, https://doi.org/10.5194/hess-18-3225-2014,https://doi.org/10.5194/hess-18-3225-2014, 2014

Cited articles

Barnes, L. R., Schultz, D. M., Gruntfest, E. C., Hayden, M. H., and Benight, C. C.: Corrigendum: False alarm rate or false alarm ratio?, Weather Forecast., 24, 1452–1454, https://doi.org/10.1175/2009WAF2222300.1, 2009.
Baum, R. L. and Godt, J. W.: Early warning of rainfall-induced shallow landslides and debris flows in the USA, Landslides, 7, 259–272, https://doi.org/10.1007/s10346-009-0177-0, 2010.
Berti, M., Martina, M. L. V., Franceschini, S., Pignone, S., Simoni, A., and Pizziolo, M.: Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach, J. Geophys. Res.-Earth, 117, F04006, https://doi.org/10.1029/2012JF002367, 2012.
Download
Short summary
For early warning of disasters induced by precipitation (such as floods and landslides), different kinds of rainfall thresholds are adopted, which vary from each other, on the basis on adopted hypotheses. This work briefly discusses different schemes of rainfall thresholds, focusing attention on landslide prediction, with some applications to a real case study in Calabria region (southern Italy).