Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 23, issue 9
Articles | Volume 23, issue 9
https://doi.org/10.5194/nhess-23-3079-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-3079-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 1,769 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,132 572 65 1,769 46 42 36
  • HTML: 1,132
  • PDF: 572
  • XML: 65
  • Total: 1,769
  • Supplement: 46
  • BibTeX: 42
  • EndNote: 36
Views and downloads (calculated since 28 Feb 2023)
Cumulative views and downloads (calculated since 28 Feb 2023)

Viewed (geographical distribution)

Total article views: 1,769 (including HTML, PDF, and XML) Thereof 1,706 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint