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, Nicola Casagli

doi:10.5194/nhess-18-807-2018

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

DOI PDF 被引用文献1件

書誌事項

公開日: 2018-03-13

権利情報

https://creativecommons.org/licenses/by/4.0/

DOI

10.5194/nhess-18-807-2018

公開者: Copernicus GmbH

説明

<jats:p>Abstract. We communicate the results of a preliminary investigation aimed at improving a state-of-the-art RSLEWS (regional-scale landslide early warning system) based on rainfall thresholds by integrating mean soil moisture values averaged over the territorial units of the system. 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 not expected to occur. Another approach deeply modifies the original RSLEWS: thresholds based on antecedent rainfall accumulated over long periods are substituted with soil moisture thresholds. A back analysis demonstrated that both approaches consistently reduced false alarms, while the second approach reduced missed alarms as well.</jats:p>