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Regional back analysis of landslide events using TRIGRS model and rainfall threshold: an approach to estimate landslide hazard for Kodagu, India

Rana, H and Babu, GLS (2022) Regional back analysis of landslide events using TRIGRS model and rainfall threshold: an approach to estimate landslide hazard for Kodagu, India. In: Bulletin of Engineering Geology and the Environment, 81 (4).

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Official URL: https://doi.org/10.1007/s10064-022-02660-9

Abstract

Slope failures in the southwestern region of India in the state of Karnataka are induced by prolonged heavy rainfall during the monsoon season. Due to damage to livestock, infrastructure, and economy, slope failure incidences are a cause of concern and throw light on the need for landslide hazard assessment. There is a necessity for faster determination of landslide hazard and provision of an early warning system using geotechnical data that is limited due to the inaccessibility of the terrain. This study presents an attempt to demarcate areas prone to rainfall-induced landslide events using Transient rainfall infiltration and grid-based slope stability (TRIGRS) model and rainfall threshold. Slope failure events from 2013 to 2018 for the Kodagu district of Karnataka, India, are used to derive rainfall thresholds. Intensity�duration�frequency (IDF) curves of rainfall are derived to determine the return period of rainfall events which trigger slope failures in the region. Due to the paucity of data, back analysis is conducted using the TRIGRS model to determine the soil properties and initial water table depth. The return period of rainfall threshold in association with susceptibility mapping using the TRIGRS model facilitates estimation of landslide hazard at the regional scale. The results of this study could potentially be used as an early warning system and the basis for the design of slopes in this region. © 2022, Springer-Verlag GmbH Germany, part of Springer Nature.

Item Type: Journal Article
Publication: Bulletin of Engineering Geology and the Environment
Publisher: Springer Science and Business Media Deutschland GmbH
Additional Information: The copyright for this article belongs to Springer Science and Business Media Deutschland GmbH
Keywords: Agriculture; Damage detection; Groundwater; Hazards; Rain; Slope protection, Back-analysis; Early Warning System; Grid-based; Intensity-duration-frequency curves; Landslide hazard; Rainfall infiltration; Rainfall thresholds; Slope failure; Stability models; Transient rainfall infiltration and grid-based slope stability model, Landslides
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 10 May 2022 14:21
Last Modified: 10 May 2022 14:21
URI: https://eprints.iisc.ac.in/id/eprint/71772

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