Articles | Volume 23, issue 9
https://doi.org/10.5194/nhess-23-3079-2023
https://doi.org/10.5194/nhess-23-3079-2023
Research article
 | 
20 Sep 2023
Research article |  | 20 Sep 2023

Lessons learnt from a rockfall time series analysis: data collection, statistical analysis, and applications

Sandra Melzner, Marco Conedera, Johannes Hübl, and Mauro Rossi

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Cited articles

Agliardi, F., Crosta, G. B., and Frattini, P.: Integrating rockfall risk assessment and countermeasure design by 3D modelling techniques, Nat. Hazards Earth Syst. Sci., 9, 1059–1073, https://doi.org/10.5194/nhess-9-1059-2009, 2009. 
Antonini, G., Ardizzone, F., Cardinali, C., Galli, M., Guzzetti, F., and Reichenbach, P.: Surface deposits and landslide inventory map of the area affected by the 1997 Umbria-Marche earthquakes, Boll. Soc. Geol. Lt., 1, 843–853, 2002. 
Brown, R. L., Durbin, J., and Evans, J. M.: Techniques for Testing the Constancy of Regression Relationships over Time, J. Roy. Stat. Soc. Ser. B, 37, 149–192, 1975. 
Chau, K. T., Wong, R. H. C., Liu, J., and Lee, C. F.: Rockfall Hazard Analysis for Hong Kong Based on Rockfall Inventory, Rock Mech. Rock Eng., 36, 383–408, https://doi.org/10.1007/s00603-002-0035-z, 2003. 
Corominas, J., Mavrouli, O., and Ruiz-Carulla, R.: Magnitude and frequency relations: are there geological constraints to the rockfall size?, Landslides, 15, 829–845, https://doi.org/10.1007/s10346-017-0910-z, 2017. 
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Short summary
The estimation of the temporal frequency of the involved rockfall processes is an important part in hazard and risk assessments. Different methods can be used to collect and analyse rockfall data. From a statistical point of view, rockfall datasets are nearly always incomplete. Accurate data collection approaches and the application of statistical methods on existing rockfall data series as reported in this study should be better considered in rockfall hazard and risk assessments in the future.
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