Articles | Volume 17, issue 1
https://doi.org/10.5194/nhess-17-103-2017
https://doi.org/10.5194/nhess-17-103-2017
Research article
 | 
30 Jan 2017
Research article |  | 30 Jan 2017

Estimation of the return period of rockfall blocks according to their size

Valerio De Biagi, Maria Lia Napoli, Monica Barbero, and Daniele Peila

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Cited articles

Abbruzzese, J. M., Sauthier, C., and Labiouse, V.: Considerations on Swiss methodologies for rock fall hazard mapping based on trajectory modelling, Nat. Hazards Earth Syst. Sci., 9, 1095–1109, https://doi.org/10.5194/nhess-9-1095-2009, 2009.
Abellán, A., Calvet, J., Vilaplana, J., and Blanchard, J.: Detection and spatial prediction of rockfalls by means of terrestrial laser scanner monitoring, Geomorphology, 119, 162–171, 2010.
Abellán, A., Vilaplana, J. M., Calvet, J., García-Sellés, D., and Asensio, E.: Rockfall monitoring by Terrestrial Laser Scanning – case study of the basaltic rock face at Castellfollit de la Roca (Catalonia, Spain), Nat. Hazards Earth Syst. Sci., 11, 829–841, https://doi.org/10.5194/nhess-11-829-2011, 2011.
Bengoubou-Valerius, M. and Gibert, D.: Bootstrap determination of the reliability of b-values: an assessment of statistical estimators with synthetic magnitude series, Nat. Hazards, 65, 443–459, 2013.
Brunetti, M. T., Guzzetti, F., and Rossi, M.: Probability distributions of landslide volumes, Nonlin. Processes Geophys., 16, 179–188, https://doi.org/10.5194/npg-16-179-2009, 2009.
Short summary
Rockfall is an highly destructive and unpredictable natural phenomenon. The design of protective structures needs a design falling block. Nowadays, the size of this block depends on the designer's personal judgement and expertise. We propose a statistical methodology to evaluate the return period of a given falling volume from observations and records in historical catalogues. This would allow us to implement modern reliability-based design approaches in protective engineering works.
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