Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/nhess-2017-361
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Brief communication
23 Oct 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).
Brief communication: Using punctual soil moisture estimates to improve the performances of a regional scale landslide early warning system
Samuele Segoni1, Ascanio Rosi1, Daniela Lagomarsino1,a, Riccardo Fanti1, and Nicola Casagli1 1Department of Earth Sciences, University of Florence, Firenze, 50121, Italy
anow at: ENI s.p.a., Italy
Abstract. We improved a state-of-art RSLEWS (regional scale landslide early warning system) based on rainfall thresholds by integrating punctual soil moisture estimates. We tested two approaches. The simplest can be easily applied to improve other RSLEWS: it is based on a soil moisture threshold value under which rainfall thresholds are not used because landslides are never expected to occur. Another approach deeply modifies the original RSLEWS: thresholds based on antecedent rainfall accumulated over long periods were substituted by soil moisture thresholds. A back analysis demonstrated that both approaches reduced consistently false alarms, while the second approach reduced missed alarms as well.

Citation: Segoni, S., Rosi, A., Lagomarsino, D., Fanti, R., and Casagli, N.: Brief communication: Using punctual soil moisture estimates to improve the performances of a regional scale landslide early warning system, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-361, in review, 2017.
Samuele Segoni et al.
Samuele Segoni et al.
Samuele Segoni et al.

Viewed

Total article views: 149 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
110 34 5 149 2 2

Views and downloads (calculated since 23 Oct 2017)

Cumulative views and downloads (calculated since 23 Oct 2017)

Viewed (geographical distribution)

Total article views: 149 (including HTML, PDF, and XML)

Thereof 148 with geography defined and 1 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 18 Nov 2017
Publications Copernicus
Download
Short summary
We improve the warning system (WS) used to forecast landslides in Emilia Romagna (Italy) by using punctual 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.
We improve the warning system (WS) used to forecast landslides in Emilia Romagna (Italy) by...
Share