“…11 Owing to water stress and a lack of economic opportunities, Shun is today an abandoned settlement; its villagers relocated to Chumik Gyatsa, closer to the road that connects Leh to Manali. 12 Martha et al (2017) contains a detailed discussion of the landslide and the volume of water retained by the river blockage.…”
Section: Correspondencementioning
confidence: 99%
“…Martha et al (2017) contains a detailed discussion of the landslide and the volume of water retained by the river blockage.…”
A landslide occurred in the region of Zanskar in the Indian Himalayas in 2015, damming the Tsarap River, creating a lake that effectively became a ticking time bomb, threatening villagers downstream. During the period between the discovery of the natural dam and the bursting of the lake, the state's approach to disaster management plunged the local population into a situation where ‘technocratic time’ ruled, as government experts handled the impending disaster at a rhythm dictated by the production of studies and reports. Analysis of the temporality of disaster mitigation and preparedness measures during this anticipated flood, as well as of the factors that surrounded the events, reveals how attitudes towards the state shaped people's perceptions of these interventions. In Zanskar, the technocratic pace and the state's lack of transparency were seen as a form of oppression that further marginalised the region, in particular by subjecting its population to the process of waiting.
“…11 Owing to water stress and a lack of economic opportunities, Shun is today an abandoned settlement; its villagers relocated to Chumik Gyatsa, closer to the road that connects Leh to Manali. 12 Martha et al (2017) contains a detailed discussion of the landslide and the volume of water retained by the river blockage.…”
Section: Correspondencementioning
confidence: 99%
“…Martha et al (2017) contains a detailed discussion of the landslide and the volume of water retained by the river blockage.…”
A landslide occurred in the region of Zanskar in the Indian Himalayas in 2015, damming the Tsarap River, creating a lake that effectively became a ticking time bomb, threatening villagers downstream. During the period between the discovery of the natural dam and the bursting of the lake, the state's approach to disaster management plunged the local population into a situation where ‘technocratic time’ ruled, as government experts handled the impending disaster at a rhythm dictated by the production of studies and reports. Analysis of the temporality of disaster mitigation and preparedness measures during this anticipated flood, as well as of the factors that surrounded the events, reveals how attitudes towards the state shaped people's perceptions of these interventions. In Zanskar, the technocratic pace and the state's lack of transparency were seen as a form of oppression that further marginalised the region, in particular by subjecting its population to the process of waiting.
“…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%
“…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. 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%
“…PSI is based on InSAR technique, which utilizes several SAR images and has proved to be successful in identifying the creeping zones in Nainital. Martha et al [57] monitored the landslide dammed lake in Zanskar Himalayas for five months (January-May 2015) using multi-temporal high-resolution satellite images after the landslide event (December 2014) and depicted the variation in the dimension of the impounded lake during the monitoring period. Dikshit et al [54] and Dikshit and Satyam, [22] used tilt sensors at shallow depths to analyze the variation in tilting angle of the instrument, which is related to the lateral displacement of the slope.…”
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.
Human populations and infrastructure in high mountain regions are exposed to a wide range of natural hazards, the frequency, magnitude, and location of which are extremely sensitive to climate change. In cases where several hazards can occur simultaneously or where the occurrence of one event will change the disposition of another, assessments need to account for complex process chains. While process chains are widely recognized as a major threat, no systematic analysis has been undertaken. We therefore assemble a broad set of process chain events from across the globe to establish new understanding on the factors that directly trigger or alter the disposition for subsequent events in the chain. Based on this new understanding, we derive a novel classification scheme and parameters to aid natural hazard assessment. Most process chains in high mountains are commonly associated with glacier retreat or permafrost degradation. Regional differences exist in the nature and rate of sequencing-some process chains are almost instantaneous, while other linkages are delayed. Process chains involving rapid sequences are difficult to predict or mitigate, and impacts are often devastating. We demonstrate that process chains are initialized most frequently as threshold failures, being the result of gradual landscape weakening and not due to the occurrence of a distinct trigger. The co-occurrence of fluvial processes or activation of sediment deposition areas increases the reach of process chains. Climate change is therefore expected to increase the reach of events in the future, as glacial environments transform into sediment-rich paraglacial and fluvial landscapes.
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