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Preliminary assessment of landslide vulnerability of road-cut slopes along the Garhwal Himalayas, using landslide possibility index (LPI) approach.

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Title: Preliminary assessment of landslide vulnerability of road-cut slopes along the Garhwal Himalayas, using landslide possibility index (LPI) approach.
Authors: Singh, Shubham1 (AUTHOR), Nayak, Nirlipta Priyadarshini1 (AUTHOR) npnayak@ddn.upes.ac.in, Das, Pawan Kumar2 (AUTHOR)
Source: Interactions (30050731). 3/9/2026, Vol. 247 Issue 1, p1-19. 19p.
Subjects: Slope stability, Structural control (Engineering), Monsoon Experiment, Landslide hazard analysis, Slopes (Soil mechanics), Topography
Geographic Terms: Himalaya Mountains
Abstract: Landslides along the Himalayan highways pose persistent challenges to slope stability and transportation safety, particularly where road cutting alters natural slope geometry. This study presents a preliminary slope scale landslide susceptibility assessment along a critical stretch of the Garhwal Himalaya between Rudraprayag and Joshimath using Landslide Possibility Index (LPI) approach. Seven representative road-cut slopes were selected and systematically investigated through detailed field mapping, with emphasis on slope geometry, lithological characteristics, discontinuity attributes, surface conditions and observable evidence of past instability. A total of ten LPI parameters were assessed following the established LPI framework. Parameter wise ratings were integrated to compute LPI values for each slope, enabling classification of landslide possibility into low, moderate and high categories. Slopes S-1, S-4 and S-5 fall within the high hazard class, S-2, S-6 and S-7 within the moderate hazard class and slope S-3 within low hazard class. A contribution analysis reveals that structural parameters, particularly discontinuity orientation, gradient and spacing, exert the strongest control on LPI values, followed by geometric factors such as slope angle. Rock mass condition and surface related parameters contribute comparatively less. A slope wise sensitivity analysis shows that slopes located near class boundaries are more responsive to small parameter variations, while structurally dominated slopes retain stable hazard classifications. Sensitivity testing for monsoon conditions further indicate that increased water infiltration can elevate hazard classes for selected slopes. Overall, the results demonstrate that landslide susceptibility along the study area route is primarily governed by structural and geometric controls, highlighting the effectiveness of the LPI approach as a first level screening tool for identifying potentially vulnerable road cut slopes in complex Himalayan terrain. [ABSTRACT FROM AUTHOR]
Copyright of Interactions (30050731) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Preliminary assessment of landslide vulnerability of road-cut slopes along the Garhwal Himalayas, using landslide possibility index (LPI) approach.
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  Data: Landslides along the Himalayan highways pose persistent challenges to slope stability and transportation safety, particularly where road cutting alters natural slope geometry. This study presents a preliminary slope scale landslide susceptibility assessment along a critical stretch of the Garhwal Himalaya between Rudraprayag and Joshimath using Landslide Possibility Index (LPI) approach. Seven representative road-cut slopes were selected and systematically investigated through detailed field mapping, with emphasis on slope geometry, lithological characteristics, discontinuity attributes, surface conditions and observable evidence of past instability. A total of ten LPI parameters were assessed following the established LPI framework. Parameter wise ratings were integrated to compute LPI values for each slope, enabling classification of landslide possibility into low, moderate and high categories. Slopes S-1, S-4 and S-5 fall within the high hazard class, S-2, S-6 and S-7 within the moderate hazard class and slope S-3 within low hazard class. A contribution analysis reveals that structural parameters, particularly discontinuity orientation, gradient and spacing, exert the strongest control on LPI values, followed by geometric factors such as slope angle. Rock mass condition and surface related parameters contribute comparatively less. A slope wise sensitivity analysis shows that slopes located near class boundaries are more responsive to small parameter variations, while structurally dominated slopes retain stable hazard classifications. Sensitivity testing for monsoon conditions further indicate that increased water infiltration can elevate hazard classes for selected slopes. Overall, the results demonstrate that landslide susceptibility along the study area route is primarily governed by structural and geometric controls, highlighting the effectiveness of the LPI approach as a first level screening tool for identifying potentially vulnerable road cut slopes in complex Himalayan terrain. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Interactions (30050731) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10751-026-02396-y
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      – SubjectFull: Monsoon Experiment
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      – SubjectFull: Landslide hazard analysis
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      – SubjectFull: Topography
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      – SubjectFull: Himalaya Mountains
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      – TitleFull: Preliminary assessment of landslide vulnerability of road-cut slopes along the Garhwal Himalayas, using landslide possibility index (LPI) approach.
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              Text: 3/9/2026
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