Articles | Volume 18, issue 3
https://doi.org/10.5194/nhess-18-807-2018
https://doi.org/10.5194/nhess-18-807-2018
Brief communication
 | 
13 Mar 2018
Brief communication |  | 13 Mar 2018

Brief communication: Using averaged soil moisture estimates to improve the performances of a regional-scale landslide early warning system

Samuele Segoni, Ascanio Rosi, Daniela Lagomarsino, Riccardo Fanti, and Nicola Casagli

Viewed

Total article views: 3,519 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,052 1,277 190 3,519 91 88
  • HTML: 2,052
  • PDF: 1,277
  • XML: 190
  • Total: 3,519
  • BibTeX: 91
  • EndNote: 88
Views and downloads (calculated since 23 Oct 2017)
Cumulative views and downloads (calculated since 23 Oct 2017)

Viewed (geographical distribution)

Total article views: 3,519 (including HTML, PDF, and XML) Thereof 3,254 with geography defined and 265 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Jun 2024
Download
Short summary
We improve the warning system (WS) used to forecast landslides in Emilia Romagna (Italy) by using averaged soil moisture estimates. We tested two approaches. The first (based on a soil moisture threshold under which the original WS is not used) is very simple, reduces false alarms and can be easily applied elsewhere. The second (integrating rainfall and soil moisture thresholds in the WS) is more complicated but reduces both false alarms and missed alarms.
Altmetrics
Final-revised paper
Preprint