Evaluation of potential landslide damming: Case study of Urni landslide, Kinnaur, Satluj valley, India

Kumar, Vipin; Gupta, Vikram; Jamir, Imlirenla; Chattoraj, Shovan Lal

doi:10.1016/j.gsf.2018.05.004

Cited by 64 publications

(40 citation statements)

References 43 publications

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“…The techniques used for assessment of damming processes are either based on geomorphic characteristics, hydraulic properties, and velocity measurement of dam material. The assessments of the damming process are dependent on the analysis of three significant factors: (a) pre-dam formation mechanism; (b) dimensional characteristics of the dam; and (c) stability analysis of dam [63]. The pre-dam formation mechanism largely depends on the slope stability analysis and landslide triggering factors, whereas dimensional characteristics are dependent on geometry of the area and landslide volume.…”

Section: Lake Damming Landslidesmentioning

confidence: 99%

“…The pre-dam formation mechanism largely depends on the slope stability analysis and landslide triggering factors, whereas dimensional characteristics are dependent on geometry of the area and landslide volume. 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%

“…Most of the studies have focused on geomorphic analysis [15,16,57,63] using different satellite images to understand the spatiotemporal landslide changes. Gupta and Sah [65] catalogued the LLOFs developed in the Trans-Himalayan region between 2000 and 2005 and studied its impact on the stability in the region.…”

Section: Lake Damming Landslidesmentioning

confidence: 99%

“…Martha et al [57] conducted an extensive investigation of Phutkal River landslide dammed lake for landslide occurrence on 31 December 2014 using multi-temporal Cartosat-2 images of 1 m spatial resolution and calculated slide volume using pre-and post-event datasets. Kumar et al [63] used GE images of 1.5 m resolution and estimated landslide volume along with slope stability analysis for Urni landslide in Himachal Pradesh.…”

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: Lake Damming Landslidesmentioning

confidence: 99%

Section: Lake Damming Landslidesmentioning

confidence: 99%

Section: Lake Damming Landslidesmentioning

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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“…The affected area (3.98 km 2 ) was recorded under the lithology type of Pt1 (regionally metamorphosed katazonalmeta sediments), while the lowest area (0.12 km 2 ) was observed under the Pg3o (boulder conglomerate, sandstone, shale, clay, soft sandstone, and shale reddish and sandstone), occupying total 0.01 km 2 under the Pt23 lithology categories (slate, phyllite, quartzite, grey shale, siltstone, limestone, gypsum, metamorphosed in proximity of granite) which have area 0.36 km 2 and Pt3e had highest affected area (18.84 km 2 ) of greenish grey sandstone, highly degraded under the process of landslides and avalanches. The Pt1, Pt23, Pt2, and Pg3 have a low vulnerability (Kumar, Gupta, Jamir, & Chattoraj, 2018). The forest area of lithology type limestone, siltstone, shale was highly affected due to the landslide, flood, and soil erosion (Gupta, 2003) (Figure 3(a) and Table 2).…”

Section: Lithologymentioning

confidence: 99%

Use of geographic information system for the vulnerability assessment of landscape in upper Satluj basin of district Kinnaur, Himachal Pradesh, India

Jamwal

Kanwar

Kuniyal

2019

Geology, Ecology, and Landscapes

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The present study was conducted in the upper river Satluj basin of district Kinnaur, Himachal Pradesh, India. The vulnerability assessment was done on the basis of selected parameters like slope, slope profile, slope aspects, relative relief, curvature, soil texture, lithology, river morphometric, precipitation, land use and land cover, mass movement, flood, geological elements, earthquake occurrences, and anthropogenic activity (hydroelectric projects). Here, a quantitative and qualitative approach was used to generate physical vulnerability assessment index and vulnerability-based maps. Vulnerability assessment of the landscape was done to highlight the risks and sensitivity of the region due to prevailing hazards and anthropogenic activities.

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Observations and computational multi‐phase modelling in tropical river settings show complex channel changes downstream from rainfall‐triggered landslides

Panici,

Bennett,

Boothroyd

et al. 2024

Earth Surf Processes Landf

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Alluvial river channels respond to changes in sediment supply by adjusting their geometry. Landslide sediment delivery and geomorphic response of river channels during floods are poorly understood and rarely examined in tropical settings. We investigate the impact of landslides on channel geomorphic changes during an extreme typhoon‐induced flood event in the Philippines, specifically the complex geomorphic response of the Antamok River to Typhoon Mangkhut in September 2018, which triggered >500 landslides in the Ambalanga catchment. The catchment has a legacy of anthropogenic modifications, such as extensive small‐scale (artisanal) mining and tailings storage facilities (TSFs) from large‐scale mining activities.We use a novel mix of mapping and computational modelling approaches to test the hypothesis that landslide sediment delivery is a major control on channel geomorphic change. Pre‐ and post‐event imagery show that the overall active channel area increased by 35.9% and the mean active channel width increased by 9.1 m. Spatially, we find no clear relationship between landslide sediment input or unit stream power and channel width geomorphic change, with longitudinal changes in active channel width complicated by TSFs. Multi‐phase modelling using r.avaflow revealed how landslide sediment delivery and TSFs interacted with the flow to generate the observed patterns of channel change. The model simulated channel incision in the upper parts of the catchment (up to 0.78 m) and deposition in the TSFs (up to 1.73 m).Our findings demonstrate that well‐established methods (e.g., stream power threshold) fail to fully explain channel width geomorphic changes, particularly for anthropogenically altered catchments. Integrating techniques, such as landslide mapping and multi‐phase computational modelling improves understanding of sediment supply's role in channel width change during extreme events. Numerical simulations also demonstrate that conventional assumptions of increased erosion and deposition with rising flow discharge are inaccurate with large sediment input, highlighting instead the effectiveness of multi‐phase models.

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Evaluation of potential landslide damming: Case study of Urni landslide, Kinnaur, Satluj valley, India

Cited by 64 publications

References 43 publications

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

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

Use of geographic information system for the vulnerability assessment of landscape in upper Satluj basin of district Kinnaur, Himachal Pradesh, India

Observations and computational multi‐phase modelling in tropical river settings show complex channel changes downstream from rainfall‐triggered landslides

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