Hazard evaluation of progressive Pawari landslide zone, Satluj valley, Himachal Pradesh, India

Kumar, Vipin; Gupta, Vikram; Jamir, Imlirenla

doi:10.1007/s11069-018-3339-3

Cited by 43 publications

(26 citation statements)

References 35 publications

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“…The area has a history of recurring landslides since 1977 and recently it suffered from major landside in August 2017 claiming 46 lives [17]. The Pawari landslide zone has also been an active landslide zone located in the southeastern part of the state, which expanded 7% during 2005-2014 [19]. The Luggarbhati landslide in 1995 and Dharla landslide event in 2007 claimed 65 and 62 lives, respectively.…”

Section: Main Landslide Eventsmentioning

confidence: 99%

“…However, the accuracy of the above-mentioned techniques largely depends on the resolution of the satellite images that are costly to be acquired. Therefore, free and high-resolution Google Earth (GE) images have also been used for landslide mapping [19,37]. The ability of such images to provide a 3D view and its free availability can serve researchers to exploit imagery for landslide detection and mapping [38].…”

Section: Landslide Identificationmentioning

confidence: 99%

“…Kumar et al [37] utilized GE images for landslide dimension mapping along Satluj Valley in Northwest Himalaya. Further, Kumar et al [19] conducted a study on a relatively smaller area (Pawari landslide) in the same region and analyzed the changes using GE images of 2005, 2012, and 2014.…”

Section: Landslide Identificationmentioning

confidence: 99%

“…In terms of slope stability, the techniques can be categorized as discontinuum modeling and continuum modeling [63]. Discontinuum modeling is majorly used for rock slope stability analysis, whereas continuum modeling is used for debris flows as well as rock slopes dependent on the material and geometry of the slope [19,64].…”

Section: Lake Damming Landslidesmentioning

confidence: 99%

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Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review

et al. 2020

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Landslides are one of the most devastating and recurring natural disasters and have affected several mountainous regions across the globe. The Indian Himalayan region is no exception to landslide incidences affecting key economic sectors such as transportation and agriculture and often leading to loss of lives. As reflected in the global landslide dataset, most of the landslides in this region are rainfall triggered. The region is prone to 15% of the global rainfall-induced landslides, and thereby a review of the studies in the region is inevitable. The high exposure to landslide risk has made the Indian Himalayas receive growing attention by the landslides community. A review of landslides studies conducted in this region is therefore important to provide a general picture of the state-of-the-art, a reference point for researchers and practitioners working in this region for the first time, and a summary of the improvements most urgently needed to better address landslide hazard research and management. This article focuses on various studies ranging from forecasting and monitoring to hazard and susceptibility analysis. The various factors used to analyze landslide are also studied for various landslide zones in the region. The analysis reveals that there are several avenues where significant research work is needed such as the inclusion of climate change factors or the acquisition of basic data of highest quality to be used as input data for computational models. In addition, the review reveals that, despite the entire region being highly landslide prone, most of the studies have focused on few regions and large areas have been neglected. The aim of the review is to provide a reference for stakeholders and researchers who are currently or looking to work in the Indian Himalayas, to highlight the shortcomings and the points of strength of the research being conducted, and to provide a contribution in addressing the future developments most urgently needed to obtain a consistent advance in landslide risk reduction of the area.

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Section: Main Landslide Eventsmentioning

confidence: 99%

Section: Landslide Identificationmentioning

confidence: 99%

Section: Landslide Identificationmentioning

confidence: 99%

Section: Lake Damming Landslidesmentioning

confidence: 99%

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Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review

et al. 2020

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“…To understand the pre-failure pattern, slope stability evaluation through numerical modeling has been a common practice. The Finite Element Method (FEM) has been a most widely used numerical model for the complex slope geometry (Griffiths and Lane 1999;Jing 2003;Kanungo et al 2013;Jamir et al 2017;Kumar et al 2018). However, selection of input parameters in the FEM analysis and set of assumptions (material model, failure criteria, convergence etc.)…”

Section: Introductionmentioning

confidence: 99%

Inferring potential landslide damming using slope stability, geomorphic constraints and run-out analysis; case study from the NW Himalaya

Kumar¹,

Jamir²,

Gupta³

et al. 2020

Preprint

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Abstract. Prediction of potential landslide damming has been a difficult process owing to uncertainties related to landslide volume, resultant dam volume, entrainment, valley configuration, river discharge, material composition, friction, and turbulence associated with the material. In this study instability pattern of landslides, parametric uncertainty, geomorphic indices, post-failure run-out predictions, and spatio-temporal pattern of rainfall and earthquake is explored using Satluj valley, North-West (NW) Himalaya as a case study area to predict the potential landslide damming sites. The study area witnessed landslide damming in the past and incurred $ ~ 30 M loss and 350 lives in the last four decades due to such processes. Forty-four active landslides in the study area that cover a total ~ 4.81 ± 0.05 × 106 m2 area and ~ 34.1 ± 9.2 × 106 m3 volume are evaluated in the study to identify those that may result in potential landslide damming. Out of forty-four, five landslides covering the volume of ~ 26.3 ± 6.7 × 106 m3 are observed to form potential landslide dams. Spatio-temporal varying patterns of rainfall in recent years enhance the possibility of landslide triggering and hence potential damming. These landslides also resulted in 24.8 ± 2.7 m to 39.8 ± 4.0 m high material flow in run-out predictions.

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The influence of landslide morphology on erosion rate variability across western Himalayan catchments: Role of westerlies and summer monsoon interaction in the landscape characterization

Kashyap,

Behera

2023

Geological Journal

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The tectonically active western Himalayan landscape evolved as a consequence of the interaction of major fluvial systems with long‐term erosional processes. To understand how landslide‐driven erosion impacts the geomorphic evolution of the terrain, we correlated the denudation rates and estimated exhumation ages with their conditioning factors, such as topographic matrices and precipitation intensity. We studied the occurrences of landslides as a function of the primary erosional drivers over precipitation variabilities, such as western disturbance (WD) and Indian summer monsoon (ISM), across the major river catchments in the western Himalayas. Our observation indicated that the phase of the differential precipitation pattern has a substantial impact on the variations in fluvial erosion rates over geological timescales, triggered by landslides. However, erosion patterns are more explicitly linked to tectonically driven topographic growth across the western Himalayan region. The result suggests that the WD precipitation pattern has a significant impact on landslide‐driven erosion across the Chenab, Beas and Sutlej catchments, which extend from the Tethyan to the higher Himalayas and can frequently contribute to increased denudation rates. The interaction of seismicity, litho‐tectonics (MCT–MBT), steep channel gradient (~ > 250) and high steepness (>252 m0.9) may be frequently contributing to an increase in rates of erosion (~ > 2 mm/y) throughout the catchments influenced by the WD, whereas the Yamuna, Ganga and Kali catchments, which are highly impacted by the ISM precipitation pattern and have comparable lower denudation rates (~ < 1.5–2 mm/y) and exhumation ages, are mostly triggered by elevated precipitation intensity (> ~ 2000 mm/y) associated with higher relief change (~3000–5000 m) over the lesser to southern Himalayan front.

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Hazard evaluation of progressive Pawari landslide zone, Satluj valley, Himachal Pradesh, India

Cited by 43 publications

References 35 publications

Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review

Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review

Inferring potential landslide damming using slope stability, geomorphic constraints and run-out analysis; case study from the NW Himalaya

The influence of landslide morphology on erosion rate variability across western Himalayan catchments: Role of westerlies and summer monsoon interaction in the landscape characterization

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