Assessment of potential present and future glacial lake outburst flood hazard in the Hunza valley: A case study of Shisper and Mochowar glacier

Singh, Hemant; Varade, Divyesh; Vries, Maximillian Van Wyk de; Adhikari, Kirtan; Rawat, Meenakshi; Awasthi, Shubham; Rawat, Deepak

doi:10.1016/j.scitotenv.2023.161717

Cited by 26 publications

(4 citation statements)

References 97 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, land deformation is inevitable due to the forces exerted on the ground. The frequent earthquake occurrences further aggravate the land deformation process 3 , 4 . The Himalayas are also susceptible to landslides that are commonly triggered by earthquakes, heavy rainfall, and anthropogenic activities, such as deforestation and large-scale civil constructions 5 , 6 .…”

Section: Introductionmentioning

confidence: 99%

Analyzing Joshimath’s sinking: causes, consequences, and future prospects with remote sensing techniques

Awasthi,

Jain,

Sahoo

et al. 2024

Sci Rep

Self Cite

View full text Add to dashboard Cite

The Himalayas are highly susceptible to various natural disasters, such as the tectonically induced land deformation, earthquakes, landslides, and extreme climatic events. Recently, the Joshimath town witnessed a significantly large land subsidence activity. The phenomenon resulted in the development of large cracks in roads and in over 868 civil structures, posing a significant risk to inhabitants and infrastructure of the area. This study uses a time-series synthetic aperture radar (SAR) interferometry-based PSInSAR approach to monitor land deformation utilizing multi-temporal Sentinel-1 datasets. The line of sight (LOS) land deformation velocity for the Joshimath region, calculated for the year 2022–2023 using a PSInSAR-based approach, varies from − 89.326 to + 94.46 mm/year. The + ve sign indicates the LOS velocity/displacement away from the SAR sensor, whereas − ve sign signifies the earth's movement towards the SAR sensor in the direction of LOS. In addition, the study investigates feature tracking land displacement analysis using multi-temporal high-resolution Planet datasets. The result of this analysis is consistent with the PSInSAR results. The study also estimated the land deformation for the periods 2016–2017, 2018–2019, and 2020–2021 separately. Our results show that the Joshimath region experienced the highest land deformation during the year 2022–2023. During this period, the maximum land subsidence was observed in the north-western part of the town. The maximum LOS land deformation velocity + 60.45 mm/year to + 94.46 mm/year (2022–2023), occurred around Singhdwar, whereas the north and central region of the Joshimath town experienced moderate to high subsidence of the order of + 10.45 mm/year to + 60.45 mm/year (2022–2023), whereas the south-west part experienced an expansion of the order of 84.65 mm/year to − 13.13 mm/year (2022–2023). Towards the south-east, the town experienced rapid land subsidence, − 13.13 mm/year to − 5 mm/year (2022–2023). The study analyzes the causative factors of the observed land deformation in the region. Furthermore, this work assesses the ground conditions of the Joshimath region using UAV datasets acquired in the most critically affected areas such as Singhdhaar, Hotel Mountain View, Malhari Hotel, and Manoharbagh. Finally, the study provides recommendations and future prospects for the development policies that need to be adopted in the critical Himalayan regions susceptible to land deformation. The study suggests that land deformation in the region is primarily attributed to uncontrolled anthropogenic activities, infrastructural development, along with inadequate drainage systems.

show abstract

Section: Introductionmentioning

confidence: 99%

Analyzing Joshimath’s sinking: causes, consequences, and future prospects with remote sensing techniques

Awasthi,

Jain,

Sahoo

et al. 2024

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…The ice thickness was estimated by the Himalayan Glacier Thickness Mapper (HIGTHIM) tool (Kulkarni and others, 2019, HIGTHIM manual). The tool was developed based on the laminar flow equation (Eqn 3) and used in recent studies where ice thickness data are unavailable (Gopika and others, 2021;Singh and others, 2023). The glacier boundary, flowlines, moraines, contour polygons in vector format, digital elevation model (DEM) and glacier surface ice velocity in raster format were given as input in the HIGTHIM tool.…”

Section: Ice Thickness Estimationmentioning

confidence: 99%

Glacier retreat, dynamics and bed overdeepenings of Parkachik Glacier, Ladakh Himalaya, India

et al. 2023

View full text Add to dashboard Cite

This study describes the morphological and dynamic changes of Parkachik Glacier, Suru River valley, Ladakh Himalaya, India. We used medium-resolution satellite images; CORONA KH-4, Landsat and Sentinel-2A from 1971–2021, and field surveys between 2015 and 2021. In addition, we used the laminar flow-based Himalayan Glacier Thickness Mapper and provide results for recent margin fluctuations, surface ice velocity, ice thickness, and identified glacier-bed overdeepenings. The results revealed that overall the glacier retreated by −210.5 ± 80 m with an average rate of 4 ± 1 m a−1 between 1971 and 2021. Whereas a field study suggested that the glacier retreat increased to −123 ± 72 m at an average rate of −20 ± 12 m a−1 between 2015 and 2021. Surface ice velocity was estimated using COSI-Corr on the Landsat data. Surface ice velocity in the lower ablation zone was 45 ± 2 m a−1 in 1999–2000 and 32 ± 1 m a−1 in 2020–2021, thus reduced by 28%. Further, the maximum thickness of the glacier is estimated to be ~441 m in the accumulation zone, while for glacier tongue it is ~44 m. The simulation results suggest that if the glacier continues to retreat at a similar rate, three lakes of different dimensions may form in subglacial overdeepenings.

show abstract

“…Understanding the hazards posed by debris-covered glaciers is essential for assessing risks associated with glacial lakes and implementing disaster mitigation strategies (Ye et al, 2022). Within this cluster, the themes of important articles predominantly cover the impacts of global warming on the current state and prospects of glaciers in the Himalayan region, compiling comprehensive inventories of glacial lakes and risk assessment methods, as well as integrated strategies for managing glacial lake disasters (Bolch et al, 2012;Lesi et al, 2022;Viani et al, 2022;Rinzin et al, 2023;Singh et al, 2023). The second major cluster topic is #1 "Glacial Lake Outburst Flood" with 56 articles.…”

Section: Analysis Of Research Hotspots Based On Co-citationmentioning

confidence: 99%

Three decades of glacial lake research: a bibliometric and visual analysis of glacial lake identification

Liu,

Yang,

et al. 2023

Front. Ecol. Evol.

View full text Add to dashboard Cite

IntroductionAs a vital component within glacier systems, the occurrences of glacial lake disasters in high mountain regions have progressively emerged as one of the most destructive natural calamities amid the backdrop of global warming. The swift advancement of glacial lake identification techniques offers a pivotal perspective for forecasting and mitigating the perils of glacial lake outburst disasters.MethodsTo evaluate the thematic evolution, research focal points, and forthcoming directions within the glacier identification domain, a comprehensive bibliometric analysis was conducted on glacial lake identification-related literature from 1991 to 2023 in the Web of Science Core Collection database.Results1) The United States, the United Kingdom, and China stand as principal nations propelling the field's advancement. The Chinese Academy of Sciences demonstrates the highest activity in terms of article publications and international collaborations. 2) Climate change, compilation of glacial lake inventories, methodologies for risk assessment, glacial lake outburst floods, comprehensive disaster management strategies, and hydrodynamic models constitute the domain's research hotspots. It is a typical multidisciplinary field. 3) Persistently high-impact topics over an extended period include “hazard”, “Late Pleistocene”, “environmental change”, “ice sheet”, and “lake sediments”. Keywords indicating the present cutting-edge research encompass “inventory”, “glacial lake outburst flood”, “risk”, “dynamics”, “Tibetan Plateau”, “evolution”, and “high mountain Asia”.DiscussionThis paper delves into the current status and pivotal concerns of glacial lake identification techniques, methodologies, and the scale of identification research themes. Further Research should concentrate on avenues like “recognition methods grounded in machine learning and deep learning”, “multisource data fusion datasets”, “novel algorithms and technologies adaptable to scale transformation and data expansion”, as well as “enhancing spatiotemporal data resolution”. This will ultimately enable precise, prolonged, and multiscalar identification of glacial lakes. his study provides valuable guidance and reference for future research in the field of glacial lake identification.

show abstract

Assessment of potential present and future glacial lake outburst flood hazard in the Hunza valley: A case study of Shisper and Mochowar glacier

Cited by 26 publications

References 97 publications

Analyzing Joshimath’s sinking: causes, consequences, and future prospects with remote sensing techniques

Analyzing Joshimath’s sinking: causes, consequences, and future prospects with remote sensing techniques

Glacier retreat, dynamics and bed overdeepenings of Parkachik Glacier, Ladakh Himalaya, India

Three decades of glacial lake research: a bibliometric and visual analysis of glacial lake identification

Contact Info

Product

Resources

About