Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2501-2016
https://doi.org/10.5194/nhess-16-2501-2016
Research article
 | 
30 Nov 2016
Research article |  | 30 Nov 2016

Landslide forecasting and factors influencing predictability

Emanuele Intrieri and Giovanni Gigli

Viewed

Total article views: 3,912 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,076 1,711 125 3,912 134 169
  • HTML: 2,076
  • PDF: 1,711
  • XML: 125
  • Total: 3,912
  • BibTeX: 134
  • EndNote: 169
Views and downloads (calculated since 28 Jun 2016)
Cumulative views and downloads (calculated since 28 Jun 2016)
Latest update: 15 Nov 2025
Download
Short summary
Forecasting a landslide collapse is a key element in risk reduction, but it is also a very difficult task due to scientific difficulties in predicting a complex natural event and the severe social repercussions caused by a false or missed alarm. In order to help decision makers, we propose a method of increasing the confidence when making landslide predictions. This study also helps understand how geology affects landslide predictability by introducing a predictability index.
Share
Altmetrics
Final-revised paper
Preprint