Deterministic approach for susceptibility assessment of shallow debris slide in the Darjeeling Himalayas, India

Sarkar, Suman; Roy, Archana; Raha, Priyankar

doi:10.1016/j.catena.2016.02.009

Cited by 53 publications

(22 citation statements)

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“…These include techniques such as Analytic Hierarchy Process (AHP), danger pixel approach, and a weighted linear combination [71]. The deterministic analysis involves an analysis of physical and mechanical soil properties and determines the susceptibility in the form of a factor of safety (FS) [72]. FS is the ratio between factors affecting landslide to factors preventing landslide incidences.…”

Section: Landslide Susceptibilitymentioning

confidence: 99%

“…Several deterministic models are available to determine slope stability such as SHALSTAB (Shallow Landsliding Stability model), SINMAP (Stability Index Mapping), SHETRAN, TRIGRS (Transient Rainfall Infiltration and Grid-based Regional Slope Stability) model, etc. In the case of the Indian Himalayas, Sarkar et al [72] used SHALSTAB model to determine the critical steady-state rainfall for slope stability in Darjeeling Himalayas. A landslide inventory map was developed using various satellite images (Resourcesat -1, Cartosat -1, and Google Earth) and field surveys, soil parameters (depth, saturated soil density, engineering properties, and soil transmissivity), and slope parameters (angle, contour length, and upslope contributing area).…”

Section: Landslide Susceptibilitymentioning

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: Landslide Susceptibilitymentioning

confidence: 99%

Section: Landslide Susceptibilitymentioning

confidence: 99%

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

et al. 2020

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“…El Análisis Condicional utiliza como subdivisiones del terreno las UCU´s (30). Las cuales se determinan subdividiendo cada variable condicionante en clases, para posteriormente ser cruzadas y obtener todas las posibles combinaciones de clases, es decir las UCU´s [38]. La probabilidad espacial de la ocurrencia de un movimiento en masa (L), dada una combinación única de clases (UCU) está dada por la densidad de los movimientos en masa en la UCU [25].…”

Section: Metodologíaunclassified

“…De acuerdo con Sarkar et. al., [38] y Coast et. al., [39] el método SHALSTAB [19] es un método ampliamente utilizado, con excelente precisión y rápido para evaluar la estabilidad por deslizamientos superficiales planares detonados por lluvia en suelo.…”

Section: Metodologíaunclassified

Propuesta metodológica para la zonificación de la susceptibilidad y amenaza por movimientos en masa en proyectos lineales: Caso de estudio Tramo 2, vía Medellín - Turbo

Jiménez

Aristizábal

2018

Bol. Cienc. Tierra

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Although in the literature there are several methods for the determination landslide susceptibility, very few consider the particularities of linear projects. In the present work, it is proposed the combination of heuristic, statistical and physically based modeling methods to evaluate and mapping landslide susceptibility in linear projects, considering regional and local scales. For the regional zoning, the conditional analysis method using Unique Condition Unit (UCU) is proposed, and for local scale physical models: SHALSTAB for soil slopes and the TOBIA index for rock slopes. The validation of the methodology was performed by the area under the curve (AUC) method. The result indicates an adequate performance, and the obtaining of valuable information prior to the construction of the project, but also during the operation, allowing to define sectors of special attention considering the scale of the project.Keywords: Landslide; linear projects; Shalstab; heuristic; susceptibility.Propuesta metodológica para la zonificación de la susceptibilidad y amenaza por movimientos en masa en proyectos lineales: Caso de estudio Tramo 2, vía Medellín -Turbo Resumen Aunque en la literatura existen diferentes métodos para la determinación de la susceptibilidad por movimientos de masas, pocos han considerado las particularidades de los proyectos lineales. En el presente trabajo se propone la combinación de métodos heurísticos, estadísticos y modelación física para evaluar y zonificar la susceptibilidad y amenaza por movimientos en masa en proyectos lineales, teniendo en cuenta su escala regional y local. Para la zonificación regional se propone el método de Análisis Condicional, y para la zonificación local modelos con base física: el método de SHALSTAB para laderas en suelo, y el índice de TOBIA para laderas en roca. La validación de la metodología fue realizada utilizando la Curva de Éxito y el área bajo la curva (AUC). Los resultados arrojan un adecuado desempeño de los modelos implementados, y la obtención de valiosa información necesaria previa a la construcción del proyecto y operación, permitiendo definir sectores críticos.

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“…Sarkar et al 2016;Aristizábal et al 2015;Teixeira et al 2015). The D∞ algorithm has been used as an input for the calculation of landslide susceptibility via the application of the SINMAP model (i. e. Arkgun and Erkan 2016; Rabonza et al 2016;Nery and Vieira 2015).…”

mentioning

confidence: 99%

Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms

Fernandes

Bateira²,

Costa

et al. 2017

Open Agriculture

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The construction of earthen embankment terraces in the Douro Region raises a set of problems related to hydrological processes. The main objective of this study is the evaluation of the spatial variation of electrical resistivity in agriculture terraces at Douro valley (Portugal). To achieve this objective, two variables are analysed, the soil electrical resistivity and the flow direction algorithm. In a field survey we recorded 13 electrical resistivity profiles. The contributing area was calculated with the algorithms D∞ (Deterministic Infinity Flow) and MFD (Multiple Flow Direction) and the results are the base of the internal runoff modelling, both supported by the digital elevation model with a spatial resolution of 1m2. A correlation between the spatial variation of the soil electrical resistivity represented by the standard deviation of the electrical resistivity for each profile and the average value of the contributing area coincident with each profile was established. The electrical resistivity standard deviation seems to be moderately well correlated according to the D∞ algorithm at about 1m of depth, and it has a good correlation at 1,5m to 2m of depth with the MFD algorithm. Taken together, the results show a significant positive statistical correlation between the electrical resistivity standard deviation and the contributing areas (MFD and D∞) depending on the soil depth.

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Deterministic approach for susceptibility assessment of shallow debris slide in the Darjeeling Himalayas, India

Cited by 53 publications

References 58 publications

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

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

Propuesta metodológica para la zonificación de la susceptibilidad y amenaza por movimientos en masa en proyectos lineales: Caso de estudio Tramo 2, vía Medellín - Turbo

Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms

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