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Landslide Early Warning and Susceptibility Zonation of Guwahati City Through Local and Regional Scale Slope Stability Analyses

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Disaster Management and Risk Reduction: Multidisciplinary Perspectives and Approaches in the Indian Context (NERC 2022)

Abstract

Rainfall-triggered landslides are a major geohazard in the Guwahati region which cannot be convincingly addressed by conventional slope stability approaches. This study attempts to address this issue with the help of advanced analysis considering the concepts of unsaturated soil mechanics involving transient/steady-state phenomena aided by the variation of pore water pressures for providing a predictive model for the potential instability under rainfall infiltration process. It is observed that the matric suction and its effect on the variation of permeability and degree of saturation, as well as the intensity and duration of rainfall, are critical factors in assessing the state of instability. Although landslides in the stated region involve relatively smaller volumes of soil (~100–400 m3), the presence of proximal urbanized areas can possibly induce significant damage to infrastructure and life loss. This study presents the applicability of physically-based models (TRIGRS, SHALSTAB and SINMAP) for assessing the regional-scale landslide susceptibility and hazard in the Guwahati region. The advantages and limitations of the different models are discussed, and the significant results are compared on the basis of the observed landslides. It is concluded from the study that physically-based models can incorporate the quantitative hydrogeological factors (e.g., soil characteristics, rainfall and areal topography) for a successful regional-scale rainfall-induced landslide hazard assessment.

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Correspondence to Arindam Dey .

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Dey, A., Sarma, C.P., Krishna, A.M. (2023). Landslide Early Warning and Susceptibility Zonation of Guwahati City Through Local and Regional Scale Slope Stability Analyses. In: Mitra, S., Dasgupta, K., Dey, A., Bedamatta, R. (eds) Disaster Management and Risk Reduction: Multidisciplinary Perspectives and Approaches in the Indian Context. NERC 2022. Springer, Singapore. https://doi.org/10.1007/978-981-99-6395-9_1

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