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Evaluating failure regime of an active landslide using instability and rockfall simulation, NW Himalaya

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Abstract

The NW Himalaya has been subjected to frequent disastrous landslides of different types owing to frequent extreme rainfall events and rock mass shearing caused by structural and/or lithological contrast. Though majority of the landslides in the NW Himalaya are of complex type comprising debris and loose rock mass that may result into debris flow and/or rockfall, their potential behavior is rarely explored. The present study aims to evaluate the recurrence of one such complex landslide (0.23 Mm2) of Yamuna Valley, NW Himalaya that is subjected to rock mass shearing and the region accommodating this landslide receives frequent extreme rainfall events. A huge slope failure in this landslide occurred on 12 September, 2017 damaging a ~ 400 m stretches of the National Highway (NH) road. The landslide location has strategic significance, since up to 0.3–0.4 million pilgrims travel annually on the road passing through the landslide slope. To evaluate the potential behavior of landslide and to understand the factors causing this landslide (pre-failure analysis), slope stability analysis and rockfall simulation were performed. Pre-failure analyses indicated that the maximum shear strain of 0.14–0.18 and total displacement of 2–8 m likely developed parallel to the slope. The possibility of rainfall triggering is explored in view of increasing rainfall, soil moisture, and surface runoff conditions. Tectonic influences are also evaluated using joints and fracture patterns in rock mass. Post-failure analysis showed that though the maximum shear strain and the total displacement had reduced to 0.07–0.15 and 2–5 m, respectively after the failure, the slope is still unstable. Rockfall simulation revealed the potential for rockfalls having energy and velocities in the range of 900–4000 kJ and 18–75 m/s, respectively.

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Source of monthly datasets during the years 1982–2020: FLDAS_NOAH01_C_GL_M model (McNally et al. 2017). Spatial resolution of dataset: 0.1° (~ 10 km). Source of daily datasets: FLDAS_NOAH001_G_CA_D model (Jacob et al. 2021). Spatial resolution of dataset: 0.01° (~ 1 km). Gray bar in Fig. 6d–f highlight Aug–Sep daily pattern for which 3-hourly datasets are presented in ad. The outliers in ac represents extreme values in respective months for the respective parameters

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Source of hourly datasets: GLDAS_NOAH025_3H model (Beaudoing and Rodell 2020). Blue rectangle in Fig. 7a–d highlights possible cause (antecedent rainfall) of first slope failure. e Seismic events during Aug–Sep 2017. Data source: International Seismological Centre (2022), On-line Bulletin, https://doi.org/10.31905/D808B830

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Though most of the dataset has been provided in the MS and table, additional raw datasets can be provided, if requested.

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Acknowledgements

IJ is thankful to Director, CSIR-National Geophysical Research Institute, Hyderabad (India) for consistent support. We are thankful to Editor Prof. Mihai Ciprian Margarint and two anonymous reviewers for their constructive comments and suggestions.

Funding

This work was supported by the Department of Science and Technology, Government of India, New Delhi [INSPIRE fellowship IF130881].

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Contributions

IJ, DVG, and VK conceived the idea. IJ and VK performed the field data collection and laboratory analysis. IJ, VK, DVG, VG, and TRM contributed in the numerical simulations. IJ and AKO interpreted the fracture pattern. All authors contributed to the writing of the final draft.

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Correspondence to D. V. Griffiths.

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Jamir, I., Kumar, V., Ojha, A.K. et al. Evaluating failure regime of an active landslide using instability and rockfall simulation, NW Himalaya. Environ Earth Sci 83, 256 (2024). https://doi.org/10.1007/s12665-024-11540-2

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  • DOI: https://doi.org/10.1007/s12665-024-11540-2

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