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Slope Stability Model and Landslide Susceptibility Using Geo-technical Properties of Soil

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Semi-quantitative Approaches for Landslide Assessment and Prediction

Part of the book series: Springer Natural Hazards ((SPRINGERNAT))

Abstract

The present study deals with the assessment of geo-technical parameters i.e. surface inclination (⊝), soil depth (z), cohesion (c), angle of internal friction (φ), soil saturation index (m), soil density (γs) and density of water (γw) and to construct 1D (one dimensional) Slope stability model for preparing the slope instability map under dry, semi-saturated and saturated condition of the landslide prone small hilly Shivkhola Watershed of Darjeeling Himalaya. To determine the spatial distribution of slope instability in the watershed, safety factor value for 50 different locations were being estimated and with the help of GIS tools. The probability or the chances of landslide phenomena in each class of slope instability maps were extracted by means of frequency ratio (FR) which shows that the probability/chances of landslide events could be expected as very high in the high to very high landslide susceptibility area and vice versa in all three conditions. The analysis of slope instability under three conditions also suggested that there was an aerial expansion of very high landslide susceptibility in saturated condition in comparison to dry and semi-saturated condition. This aerial expansion was the outcome of complete saturation and reduction of shearing strength of the slope materials above the failure plane surface. Finally, an accuracy assessment was made by ground truth verification of the existing landslide locations where the classification accuracy for dry, semi-saturated and saturated conditions was 93.86, 94.58 and 85.44 % respectively.

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Authors and Affiliations

  1. Department of Geography, Raja N. L. Khan Women’s College, Gope Palace, University Road, Paschim Medinipur, 721102, West Bengal, India

    Sujit Mandal

  2. Department of Geography and Environment Management, Vidyasagar University, Paschim Medinipur, 721102, West Bengal, India

    Ramkrishna Maiti

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  1. Sujit Mandal
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  2. Ramkrishna Maiti
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Correspondence to Sujit Mandal .

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Mandal, S., Maiti, R. (2015). Slope Stability Model and Landslide Susceptibility Using Geo-technical Properties of Soil. In: Semi-quantitative Approaches for Landslide Assessment and Prediction. Springer Natural Hazards. Springer, Singapore. https://doi.org/10.1007/978-981-287-146-6_6

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