Integrating real-time subsurface hydrologic monitoring with empirical rainfall thresholds to improve landslide early warning

Landslides ◽  
2018 ◽  
Vol 15 (10) ◽  
pp. 1909-1919 ◽  
Author(s):  
Benjamin B. Mirus ◽  
Rachel E. Becker ◽  
Rex L. Baum ◽  
Joel B. Smith
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Rainfall Thresholds ◽  
Landslide Early Warning ◽  
Hydrologic Monitoring

Towards establishing rainfall thresholds for a real-time landslide early warning system in Sikkim, India

Landslides ◽  
2019 ◽  
Vol 16 (12) ◽  
pp. 2395-2408 ◽  
Author(s):  
Geethu Thottungal Harilal ◽  
Dhanya Madhu ◽  
Maneesha Vinodini Ramesh ◽  
Divya Pullarkatt
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Rainfall Thresholds ◽  
Landslide Early Warning

scholarly journals Definition of 3D rainfall thresholds to increase operative landslide early warning system performances

Landslides ◽  
2020 ◽  
Author(s):  
Ascanio Rosi ◽  
Samuele Segoni ◽  
Vanessa Canavesi ◽  
Antonio Monni ◽  
Angela Gallucci ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Rainfall Thresholds ◽  
Landslide Early Warning ◽  
Definition Of

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

2018 ◽  
Vol 18 (3) ◽  
pp. 807-812 ◽  
Author(s):  
Samuele Segoni ◽  
Ascanio Rosi ◽  
Daniela Lagomarsino ◽  
Riccardo Fanti ◽  
Nicola Casagli
Keyword(s):  
Soil Moisture ◽  
Early Warning ◽  
Early Warning System ◽  
Preliminary Investigation ◽  
Regional Scale ◽  
Back Analysis ◽  
Warning System ◽  
False Alarms ◽  
Rainfall Thresholds ◽  
Landslide Early Warning

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.

scholarly journals Landslide early warning based on failure forecast models: the example of the Mt. de La Saxe rockslide, northern Italy

2015 ◽  
Vol 15 (7) ◽  
pp. 1639-1644 ◽  
Author(s):  
A. Manconi ◽  
D. Giordan
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Early Warning Systems ◽  
Northern Italy ◽  
Surface Displacements ◽  
Forecast Models ◽  
Landslide Early Warning ◽  
Unstable Slope ◽  
Critical Phases

Abstract. We apply failure forecast models by exploiting near-real-time monitoring data for the La Saxe rockslide, a large unstable slope threatening Aosta Valley in northern Italy. Starting from the inverse velocity theory, we analyze landslide surface displacements automatically and in near real time on different temporal windows and apply straightforward statistical methods to obtain confidence intervals on the estimated time of failure. Here, we present the result obtained for the La Saxe rockslide, a large unstable slope located in Aosta Valley, northern Italy. Based on this case study, we identify operational thresholds that are established on the reliability of the forecast models. Our approach is aimed at supporting the management of early warning systems in the most critical phases of the landslide emergency.

scholarly journals Satellite-derived rainfall thresholds for landslide early warning in Bogowonto Catchment, Central Java, Indonesia

2020 ◽  
Vol 89 ◽  
pp. 102093 ◽  
Author(s):  
Elias E. Chikalamo ◽  
Olga C. Mavrouli ◽  
Janneke Ettema ◽  
Cees J. van Westen ◽  
Agus S. Muntohar ◽  
...  
Keyword(s):  
Early Warning ◽  
Rainfall Thresholds ◽  
Central Java ◽  
Landslide Early Warning
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