Articles | Volume 23, issue 9
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

Related authors

Brief communication: Post-wildfire rockfall risk in the eastern Alps
Sandra Melzner, Nurit Shtober-Zisu, Oded Katz, and Lea Wittenberg
Nat. Hazards Earth Syst. Sci., 19, 2879–2885,,, 2019
Short summary

Related subject area

Landslides and Debris Flows Hazards
Simulation analysis of 3D stability of a landslide with a locking segment: a case study of the Tizicao landslide in Maoxian County, southwest China
Yuntao Zhou, Xiaoyan Zhao, Guangze Zhang, Bernd Wünnemann, Jiajia Zhang, and Minghui Meng
Nat. Hazards Earth Syst. Sci., 24, 891–906,,, 2024
Short summary
Space–time landslide hazard modeling via Ensemble Neural Networks
Ashok Dahal, Hakan Tanyas, Cees van Westen, Mark van der Meijde, Paul Martin Mai, Raphaël Huser, and Luigi Lombardo
Nat. Hazards Earth Syst. Sci., 24, 823–845,,, 2024
Short summary
Optimization strategy for flexible barrier structures: investigation and back analysis of a rockfall disaster case in southwestern China
Li-Ru Luo, Zhi-Xiang Yu, Li-Jun Zhang, Qi Wang, Lin-Xu Liao, and Li Peng
Nat. Hazards Earth Syst. Sci., 24, 631–649,,, 2024
Short summary
Numerical-model-derived intensity–duration thresholds for early warning of rainfall-induced debris flows in a Himalayan catchment
Sudhanshu Dixit, Srikrishnan Siva Subramanian, Piyush Srivastava, Ali P. Yunus, Tapas Ranjan Martha, and Sumit Sen
Nat. Hazards Earth Syst. Sci., 24, 465–480,,, 2024
Short summary
Slope Unit Maker (SUMak): an efficient and parameter-free algorithm for delineating slope units to improve landslide modeling
Jacob B. Woodard, Benjamin B. Mirus, Nathan J. Wood, Kate E. Allstadt, Benjamin A. Leshchinsky, and Matthew M. Crawford
Nat. Hazards Earth Syst. Sci., 24, 1–12,,, 2024
Short summary

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,, 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,, 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,, 2017. 
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.
Final-revised paper