Articles | Volume 23, issue 1
https://doi.org/10.5194/nhess-23-205-2023
https://doi.org/10.5194/nhess-23-205-2023
Research article
 | 
18 Jan 2023
Research article |  | 18 Jan 2023

Assessing uncertainties in landslide susceptibility predictions in a changing environment (Styrian Basin, Austria)

Raphael Knevels, Helene Petschko, Herwig Proske, Philip Leopold, Aditya N. Mishra, Douglas Maraun, and Alexander Brenning

Viewed

Total article views: 2,112 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,569 494 49 2,112 137 28 30
  • HTML: 1,569
  • PDF: 494
  • XML: 49
  • Total: 2,112
  • Supplement: 137
  • BibTeX: 28
  • EndNote: 30
Views and downloads (calculated since 03 Jun 2022)
Cumulative views and downloads (calculated since 03 Jun 2022)

Viewed (geographical distribution)

Total article views: 2,112 (including HTML, PDF, and XML) Thereof 2,051 with geography defined and 61 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
Short summary
In summer 2009 and 2014, rainfall events occurred in the Styrian Basin (Austria), triggering thousands of landslides. Landslide storylines help to show potential future changes under changing environmental conditions. The often neglected uncertainty quantification was the aim of this study. We found uncertainty arising from the landslide model to be of the same order as climate scenario uncertainty. Understanding the dimensions of uncertainty is crucial for allowing informed decision-making.
Altmetrics
Final-revised paper
Preprint