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Chamoli Disaster 2021, Uttarakhand: A study on the role of a hidden meteorological parameter

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Abstract

The Chamoli district of the Himalayan state Uttarakhand experienced a glacier breakage leading to a devastating flash flood on 07 Feb 2021. The event claimed several lives and also destroyed the hydropower projects in the Rishiganga and Dhauliganga valleys. The initiation of strong wind gusts on 6th and 7th Feb 2021 and specifically 12 hours before the disaster (42, 45, and 41 km/hr) demonstrates the wind’s ongoing impact on the accumulated snow/glacier. It seems a significant contribution that might have resulted in the heat energy responsible for the breaking of the glacier leading to this disaster. Moreover, the analysis of thermal variability of land surface temperature (LST) shows the sudden change in the terrain during the disaster. It shows relatively lower temperature before the event due to snowfall over the study area on 5 Feb 2021 in comparison to that after the event.

Research Highlights

  1. 1.

    The present study analyzes the hidden meteorological factor contributing to the glacier breakage which resulted in devastating flash flood in Chamoli district, Uttarakhand, on 07 February 2021.

  2. 2.

    The missing parameter namely wind is validated using the observed values with the model computed values through data analysis.

  3. 3.

    The Land Surface Temperature is calculated as an additional information to compare the pre and post disaster characteristics of the land confirming the presence of weak layer before the disaster.

  4. 4.

    The presence of continuous wind gust in the narrow valley acted as a potential factor towards the disaster.

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References

  • Acuzar A M A, Arguelles I P E, Elisan J C S, Gobenciong J K D, Soriano A M and Rocamora J M B 2017 Effects of weather and climate on renewable energy resources in a distributed generation system simulated in Visayas, Philippines; IEEE 9th Int. Conf. Humanoid, Nanotechnol., Inf. Technol., Commun. Control, Environ. Manage. (HNICEM), pp. 1–6.

  • Ashrit R 2010 A report on ‘Investigating the Leh cloudburst’; NMRF/RR/2010, October 2010, NCMRWF.

  • Ashrit R, Kumar S, Dube A, Arulalan T, Karunasagar S, Routray A, Mohandas S, George J P and Mitra A K 2021 Tropical cyclone forecast using NCMRWF global (12 km) and regional (4 km) models; Mausam 72(1) 129–146.

    Article  Google Scholar 

  • Boopathi K, Sheelarani N, Kumar S and Balaraman K 2019 Validation and bias correction techniques to improve numerical weather prediction wind speed data; Proc. 2nd Int. Conf. Large-Scale Grid Integration of Renewable Energy in India at Delhi, India, September 2019.

  • Central Ground Water Board (CGWB), http://cgwb.gov.in/district_profile/uttarakhand/chamoli.pdf.

  • Dobhal D P, Gupta A K, Mehta M and Khandelwal D D 2013 Kedarnath disaster: Facts and plausible causes; Curr. Sci. 105 171–174.

    Google Scholar 

  • Fredston J A and Fesler D 1994 Snow sense: A guide to evaluating avalanche hazard; Alaska Mountain Safety Center.

  • Geological Survey of India, https://www.gsi.gov.in.

  • Kala C P 2014 Deluge, disaster and development in Uttarakhand Himalayan region of India: Challenges and lessons for disaster management; Int. J. Disaster Risk Reduct. 8 143–152.

    Article  Google Scholar 

  • Kumar P, Husain A, Singh R B and Kumar M 2018 Impact of land cover change on land surface temperature: A case study of Spiti Valley; J. Mt. Sci. 15(8) 1658–1670.

    Article  Google Scholar 

  • Kumar S, Bushair M T, Buddhi Prakash J, Lodh A, Sharma P, George G, Rani S I, George J P, Jayakumar A, Mohandas S and Kumar S 2020 NCUM Global NWP System: Version 6 (NCUM-G: V6), NMRF/TR/06/2020, NCMRWF.

  • Mamgain A, Sarkar A, Dube A, Arulalan T, Chakraborty P, George J P and Rajagopal E N 2018 Implementation of very high resolution (12 km) global ensemble prediction system at NCMRWF and its initial validation; NMRF/TR/02/2018, 21, NCMRWF.

  • Narasimha Rao N, Shekhar M S and Singh G P 2020 Forecasting extreme precipitation event over Munsiyari (Uttarakhand) using 3DVAR data assimilation in mesoscale model; J. Earth Syst. Sci. 129 1–9.

    Article  Google Scholar 

  • Pal J, Debnath P P, Guhathakuran S and Chaudhuri S 2017 An investigation on the dynamic and scale interactive processes for estimating the predictability of cloudburst over elevated orography; Nat. Hazards 85 267–282.

    Article  Google Scholar 

  • Parkash S 2015 Some socio-economically significant landslides in Uttarakhand Himalaya: Events, consequences and lessons learnt; Mt. Hazards Disaster Risk Reduct. 211–232.

  • Sarkar S and Kanungo D P 2010 Landslide disaster on Berinag–Munsiyari Road, Pithoragarh District, Uttarakhand; Curr. Sci. 98(7) 900–902.

    Google Scholar 

  • Shekhar M S, Pattanayak S, Mohanty U C, Paul S and Kumar M S 2015 A study on the heavy rainfall event around Kedarnath area (Uttarakhand) on 16 June 2013; J. Earth Syst. Sci. 124(7) 1531–1544.

    Article  Google Scholar 

  • Shrestha A B, Steiner J, Nepal S, Maharjan S B, Jackson M, Rasul G and Bajracharya B 2021 Understanding the Chamoli flood: Cause, process, impacts, and context of rapid infrastructure development; River Basins and Cryosphere, ICIMOD, Kathmandu, Nepal.

  • Shugar D H, Jacquemart M, Shean D, Bhushan S, Upadhyay K, Sattar A, Schwanghart W, McBride S, De Vries M V W, Mergili M and Emmer A 2021 A massive rock and ice avalanche caused the 2021 disaster at Chamoli, Indian Himalaya; Science 373(6552) 300–306.

    Article  Google Scholar 

  • Siddique T, Haris P M and Pradhan S P 2022 Unraveling the geological and meteorological interplay during the 2021 Chamoli disaster, India; Nat. Hazards Res. 2(2) 75–83.

    Article  Google Scholar 

  • Sravana Kumar M, Shekhar M S, Rama Krishna S S V S, Bhutiyani M R and Ganju A 2012 Numerical simulation of cloud burst event on August 05, 2010, over Leh using WRF mesoscale model; Nat. Hazards 62(3) 1261–1271.

    Article  Google Scholar 

  • Srivastava P, Namdev P and Singh P K 2022 7 February Chamoli (Uttarakhand, India) rock-ice avalanche disaster: Model-simulated prevailing meteorological conditions; Atmosphere 13(2) 267.

    Article  Google Scholar 

  • Sujata D and Anitha R 2017 Enrich mountain GeoINT using open-source thermal satellite images; Proceedings of 38th Asian Conference on Remote Sensing (ACRS-2017), October 23–27, 2017.

  • Terence D M, Emmanuel M, Tichaona Z and Nation M 2015 Assessment of the reliability of world weather online forecasts for Kadoma community; J. Earth Sci. Clim. Change 6(7) 1.

    Google Scholar 

  • Thayyen R J, Dimri A P, Kumar P and Agnihotri G 2013 Study of cloudburst and flash floods around Leh, India, during August 4–6, 2010; Nat. Hazards 65 2175–2204.

    Article  Google Scholar 

  • Thayyen R J, Mishra P K, Jain S K, Wani J M, Singh H, Singh M K and Yadav B 2022 Hanging glacier avalanche (Raunthigad–Rishiganga) and debris flow disaster on 7 February 2021, Uttarakhand, India: A preliminary assessment; Nat. Hazards 114(2) 1939–1966.

    Article  Google Scholar 

  • Thiebault K and Young S 2020 Snow cover change and its relationship with land surface temperature and vegetation in northeastern North America from 2000 to 2017; Int. J. Remote Sens. 41(21) 8453–8474.

    Article  Google Scholar 

  • United States Geological Survey (USGS), https://earthexplorer.usgs.gov/.

  • World Weather Online, https://www.worldweatheronline.com/.

Download references

Acknowledgements

The authors wish to thank the Director, Defence Geoinformatics Research Establishment (DGRE), Chandigarh and NCMRWF for providing the necessary observatory and model data for our study. Online data sources are also duly acknowledged for providing data for detailed investigation of our work on the study area.

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Authors and Affiliations

Authors

Contributions

Sujata Dash: Conceptualization, supervision, writing – original draft preparation, reviewing and editing, software, methodology. M S Shekhar: Data curation, investigation, validation, writing – reviewing and editing. Pranshu Bhardwaj: Software, data curation, methodology, visualization, writing – reviewing and editing. Madhusmita Swain: Software, data curation, visualization, writing – reviewing and editing. P K Satyawali: Methodology, validation, writing – reviewing and editing. U C Mohanty: Supervision, writing – reviewing and editing, visualization.

Corresponding author

Correspondence to M S Shekhar.

Additional information

Communicated by Parthasarathi Mukhopadhyay

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Dash, S., Shekhar, M.S., Bhardwaj, P. et al. Chamoli Disaster 2021, Uttarakhand: A study on the role of a hidden meteorological parameter. J Earth Syst Sci 132, 193 (2023). https://doi.org/10.1007/s12040-023-02207-w

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  • DOI: https://doi.org/10.1007/s12040-023-02207-w

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