Threshold rainfall ranges for landslide occurrence in Matara district of Sri Lanka and findings on community emergency preparedness

Kalubowila, P.; Lokupitiya, Erandathie; Halwatura, Devanmini; Jayathissa, G.

doi:10.1016/j.ijdrr.2020.101944

Cited by 14 publications

(5 citation statements)

References 3 publications

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“…Pre-existing soil moisture conditions in the area also contribute to the landslide occurrences. As soil moisture measurements are either rarely or not readily available prior to a landslide event, effective antecedent daily rainfall can be considered as an index of soil moisture conditions preceding the event [38,40]. Following Chikalamo et al [39], who studied rainfall thresholds for Bogowonto Catchment, Central Java, we adopted the effective antecedent daily rainfall model proposed by Glade et al [38] and Zezere et al [41].…”

Section: Effective Antecedent Daily Rainfallmentioning

confidence: 99%

Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

et al. 2022

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Landslides are one of the most disastrous natural hazards that frequently occur in Indonesia. In 2017, Balai Sabo developed an Indonesia Landslide Early Warning System (ILEWS) by utilizing a single rainfall threshold for an entire nation, leading to inaccuracy in landslide predictions. The study aimed to improve the accuracy of the system by updating the rainfall threshold. We analyzed 420 landslide events in Java with the 1-day and 3-day effective antecedent rainfall for each landslide event. Rainfall data were obtained from the Global Precipitation Measurement (GPM), which is also used in the ILEWS. We propose four methods to derive the thresholds: the first is the existing threshold applied in the Balai Sabo ILEWS, the second and third use the average and minimum values of rainfall that trigger landslides, respectively, and the fourth uses the minimum value of rainfall that induces major landslides. We used receiver operating characteristic (ROC) analysis to evaluate the predictability of the rainfall thresholds. The fourth method showed the best results compared with the others, and this method provided a good prediction of landslide events with a low error value. The chosen threshold was then applied in the Balai Sabo-ILEWS.

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Section: Effective Antecedent Daily Rainfallmentioning

confidence: 99%

Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

et al. 2022

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“…The goal is to provide sufficient time for implementation of a predetermined action plan to protect people at risk (e.g., evacuation). This alarm approach is distinct to a warning system whereby experts analyse a situation, or a forecasting system whereby regional-scale danger levels are produced by experts (e.g., based on rainfall thresholds; Nam and Wang 2020;Ngandam Mfondoum et al 2021;Kalubowila et al 2021). As noted by Dixon et al (2018) amongst others, a landslide alarm EWS for use by vulnerable communities in low-and middle-income countries must fulfil the following criteria:…”

Section: Problem and Requirementsmentioning

confidence: 99%

A community-operated landslide early warning approach: Myanmar case study

Dixon

Smith

Pietz³

2022

Geoenviron Disasters

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A landslide early warning system based on monitoring acoustic emission (AE) generated by slope movements has been developed that can deliver alerts direct to a community at risk, with relevance to low- and middle-income countries. The Community Slope SAFE (Sensors for Acoustic Failure Early-warning) (CSS) approach uses steel waveguides driven into the slope to transmit detected high frequency noise (AE) to a sensor at the ground surface. CSS gives a measure of slope displacement rate. Continuously measured AE is compared to a pre-defined trigger level that is indicative of decreasing slope stability (i.e., landslide initiation), and a visual and audible alert automatically generated so that a community can follow a pre-defined course of action (e.g., evacuation). This paper describes the CSS approach and details a field trial of the system at two sites in Hakha, Chin Sate, Myanmar. The trial, which included training a group of youth Landslide Response Volunteers to install and operate the CSS system, increased landslide awareness and knowledge in the Hakha community, delivered the required real-time continuous operation, and demonstrated the practicality of using the CSS system for community landslide protection.

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“…Ground movements, such as land subsidence and slope instabilities, represent a major threat to population, buildings and infrastructures, especially in a period of increasing frequency of drastic meteo-hydrologic phenomena [1][2][3]. Conducting a careful prevention campaign to identify and monitor risk areas is not always easy and is often very expensive with common in situ methods.…”

Section: Introductionmentioning

confidence: 99%

CAPS: A New Method for the Identification of Different Surface Displacements in Landslide and Subsidence Environments through Correlation Analysis on Persistent Scatterers Time-Series from PSI

et al. 2022

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Persistent Scatterer Interferometry (PSI) is one of the most powerful tools for identifying and monitoring areas exposed to surface deformations such as landslides or subsidence. In this work, we propose a new method that we named CAPS (Correlation Analysis on Persistent Scatterers), to extend the capability of PSI in recognizing and characterising areas influenced by complex ground deformations and differential motions. CAPS must be applied to both ascending and descending orbits separately and comprises three major steps: (i) calculating the cross-correlation matrix on detrended PS time-series; (ii) extracting PS pairs with similarity greater than a given threshold; (iii) grouping PS in families by sorting and classification. Thus, in both orbits, PS Families identify groups of PS with similar movements. This allows distinguishing sectors characterised by different displacements over time even in areas with similar LOS (Line of Sight) velocities. As test sites, we considered four different known geological scenarios: two representing landslide environments (Santo Stefano d’Aveto and Arzeno, both in Liguria, NW Italy) and two subsidence environments (Rome and Venice, urban and surrounding areas). This method proved to be versatile, applicable to different geological situations and at different scales of observation, for recognizing both regional and local differential deformations.

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Threshold rainfall ranges for landslide occurrence in Matara district of Sri Lanka and findings on community emergency preparedness

Cited by 14 publications

References 3 publications

Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

A community-operated landslide early warning approach: Myanmar case study

CAPS: A New Method for the Identification of Different Surface Displacements in Landslide and Subsidence Environments through Correlation Analysis on Persistent Scatterers Time-Series from PSI

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