Comparative Analysis of Early Warning System for Landslide Prediction and Mitigation

An Early Warning System (EWS) is an integrated system that disseminates early warning information to lessen a natural catastrophe's impact, facilitating preparedness and reaction processes. To reduce the likelihood of landslides occurring, researchers can take several measures. These include proactive measures to reduce the probability of landslides, the placement of EWS where, in some situations, the risk to life exceeds acceptable limits, and structural engineering initiatives aimed at reducing the susceptibility of sensitive elements. The benefits and drawbacks of the current landslide EWS are the main objectives of this study. It first clarifies the early warning system framework's obvious standpoint. The overall analysis will help the researchers who want to focus on landslide early warning systems.

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Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/iccpct61902.2024.10673318
Primary Topic
Landslides and related hazards
Type
article
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article

Comparative Analysis of Early Warning System for Landslide Prediction and Mitigation

D. Usha Nandini, Gayathri R Krishna
Landslides and related hazards
article

Comparative Analysis of Early Warning System for Landslide Prediction and Mitigation

D. Usha Nandini, Gayathri R Krishna
article en

Abstract

An Early Warning System (EWS) is an integrated system that disseminates early warning information to lessen a natural catastrophe's impact, facilitating preparedness and reaction processes. To reduce the likelihood of landslides occurring, researchers can take several measures. These include proactive measures to reduce the probability of landslides, the placement of EWS where, in some situations, the risk to life exceeds acceptable limits, and structural engineering initiatives aimed at reducing the susceptibility of sensitive elements. The benefits and drawbacks of the current landslide EWS are the main objectives of this study. It first clarifies the early warning system framework's obvious standpoint. The overall analysis will help the researchers who want to focus on landslide early warning systems.

Vol. 279
Sathyabama Institute of Science and Technology (IN)
Climate action
Openalex Percentile: Top 77%
Landslides and related hazards
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