IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v100y2020i2d10.1007_s11069-019-03829-4.html
   My bibliography  Save this article

Appraisal of hydro-meteorological factors during extreme precipitation event: case study of Kedarnath cloudburst, Uttarakhand, India

Author

Listed:
  • Shailendra Pratap

    (Banaras Hindu University)

  • Prashant K. Srivastava

    (Banaras Hindu University)

  • Ashish Routray

    (Ministry of Earth Sciences)

  • Tanvir Islam

    (NASA Jet Propulsion Laboratory)

  • Rajesh Kumar Mall

    (Banaras Hindu University)

Abstract

Flash flood is an uncertain and most catastrophic disaster worldwide that causes socio-economic problems, devastation and loss of infrastructure. One of the major triggering factors of flash floods is the extreme events like cloudburst that causes flooding of area within a short span of time. Therefore, this study aims to understand the variations in hydro-meteorological variables during the devastating Kedarnath cloudburst in the Uttarakhand, India. The hydro-meteorological variables were collected from the global satellites such as Moderate Resolution Imaging Spectroradiometer, Tropical Rainfall Measuring Mission, modelled datasets from Decision Support System for Agrotechnology Transfer and National Center for Environmental Prediction (NCEP). For the validation of satellite meteorological data, the NCEP Global analysis data were downscaled using Weather Research and Forecasting model over the study area to achieve the meteorological variables’ information. The meteorological factors such as atmospheric pressure, atmospheric temperature, rainfall, cloud water content, cloud fraction, cloud particle radius, cloud mixing ratio, total cloud cover, wind speed, wind direction and relative humidity were studied during the cloudburst, before as well as after the event. The outcomes of this study indicate that the variability in hydro-meteorological variables over the Kedarnath had played a significant role in triggering the cloudburst in the area. The results showed that during the cloudburst, the relative humidity was at the maximum level, the temperature was very low, the wind speed was slow and the total cloud cover was found at the maximum level. It is expected that because of this situation a high amount of clouds may get condensed at a very rapid rate and resulted in a cloudburst over the Kedarnath region.

Suggested Citation

  • Shailendra Pratap & Prashant K. Srivastava & Ashish Routray & Tanvir Islam & Rajesh Kumar Mall, 2020. "Appraisal of hydro-meteorological factors during extreme precipitation event: case study of Kedarnath cloudburst, Uttarakhand, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(2), pages 635-654, January.
    • Handle: RePEc:spr:nathaz:v:100:y:2020:i:2:d:10.1007_s11069-019-03829-4
    DOI: 10.1007/s11069-019-03829-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-019-03829-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-019-03829-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Prashant Srivastava & Tanvir Islam & Manika Gupta & George Petropoulos & Qiang Dai, 2015. "WRF Dynamical Downscaling and Bias Correction Schemes for NCEP Estimated Hydro-Meteorological Variables," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2267-2284, May.
    2. Hahsler, Michael & Hornik, Kurt & Buchta, Christian, 2008. "Getting Things in Order: An Introduction to the R Package seriation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i03).
    3. Sudhir Singh & Prashant Srivastava & Avinash Pandey & Sandeep Gautam, 2013. "Integrated Assessment of Groundwater Influenced by a Confluence River System: Concurrence with Remote Sensing and Geochemical Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4291-4313, September.
    4. Swati Maurya & Prashant K. Srivastava & Manika Gupta & Tanvir Islam & Dawei Han, 2016. "Integrating Soil Hydraulic Parameter and Microwave Precipitation with Morphometric Analysis for Watershed Prioritization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5385-5405, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sangita Dey & U. K. Shukla & P. Mehrishi & R. K. Mall, 2021. "Appraisal of groundwater potentiality of multilayer alluvial aquifers of the Varuna river basin, India, using two concurrent methods of MCDM," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17558-17589, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Han-Ming & Tien, Yin-Jing & Chen, Chun-houh, 2010. "GAP: A graphical environment for matrix visualization and cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 767-778, March.
    2. Maciej Jagódka & Małgorzata Snarska, 2021. "The State of Human Capital and Innovativeness of Polish Voivodships in 2004–2018," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    3. Kamini Yadav & Hatim M. E. Geli, 2021. "Prediction of Crop Yield for New Mexico Based on Climate and Remote Sensing Data for the 1920–2019 Period," Land, MDPI, vol. 10(12), pages 1-27, December.
    4. Aliyev, Denis A. & Zirbel, Craig L., 2023. "Seriation using tree-penalized path length," European Journal of Operational Research, Elsevier, vol. 305(2), pages 617-629.
    5. Troxler, David & Zabel, Astrid, 2021. "Clearing forests to make way for a sustainable economy transition in Switzerland," Forest Policy and Economics, Elsevier, vol. 129(C).
    6. Ankita P. Dadhich & Rohit Goyal & Pran N. Dadhich, 2021. "Assessment and Prediction of Groundwater using Geospatial and ANN Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 2879-2893, July.
    7. Xi Zhu & Yansha Wen & Xiang Li & Feng Yan & Shuhe Zhao, 2023. "Remote Sensing Inversion of Typical Water Quality Parameters of a Complex River Network: A Case Study of Qidong’s Rivers," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    8. Nametala, Ciniro Aparecido Leite & Faria, Wandry Rodrigues & Lage, Guilherme Guimarães & Pereira, Benvindo Rodrigues, 2023. "Analysis of hourly price granularity implementation in the Brazilian deregulated electricity contracting environment," Utilities Policy, Elsevier, vol. 81(C).
    9. Nirmal Kumar & Sudhir Kumar Singh, 2021. "Soil erosion assessment using earth observation data in a trans-boundary river basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 1-34, May.
    10. Piccarreta, Raffaella & Struffolino, Emanuela, 2019. "An Integrated Heuristic for Validation in Sequence Analysis," SocArXiv v7mj8, Center for Open Science.
    11. Prashant K. Srivastava & Dawei Han & Aradhana Yaduvanshi & George P. Petropoulos & Sudhir Kumar Singh & Rajesh Kumar Mall & Rajendra Prasad, 2017. "Reference Evapotranspiration Retrievals from a Mesoscale Model Based Weather Variables for Soil Moisture Deficit Estimation," Sustainability, MDPI, vol. 9(11), pages 1-17, October.
    12. Martin Junge & Rainer Reisenzein, 2015. "Maximum Likelihood Difference Scaling versus Ordinal Difference Scaling of emotion intensity: a comparison," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 2169-2185, September.
    13. Pawan K. Chaubey & Prashant K. Srivastava & Akhilesh Gupta & R. K. Mall, 2021. "Integrated assessment of extreme events and hydrological responses of Indo-Nepal Gandak River Basin," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8643-8668, June.
    14. Nicholas J. Croucher & Joseph J. Campo & Timothy Q. Le & Jozelyn V. Pablo & Christopher Hung & Andy A. Teng & Claudia Turner & François Nosten & Stephen D. Bentley & Xiaowu Liang & Paul Turner & David, 2024. "Genomic and panproteomic analysis of the development of infant immune responses to antigenically-diverse pneumococci," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    15. Vikash Shivhare & Chanchal Gupta & Javed Mallick & Chander Kumar Singh, 2022. "Geospatial modelling for sub-watershed prioritization in Western Himalayan Basin using morphometric parameters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(1), pages 545-561, January.
    16. Telcs, András & Kosztyán, Zsolt Tibor & Banász, Zsuzsanna & Csányi, Vivien Valéria, 2019. "Felsőoktatási ligák, parciális rangsorok képzése biklaszterezési eljárásokkal [How to rate higher education systems partial rankings using bi-clustering methods]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 905-931.
    17. Piccarreta, Raffaella & Bonetti, Marco, 2019. "Assessing and comparing models for sequence data by microsimulation (with Supplementary Material)," SocArXiv 3mcfp, Center for Open Science.
    18. Paredes, P. & Pereira, L.S. & Almorox, J. & Darouich, H., 2020. "Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani equation using local climatic variables," Agricultural Water Management, Elsevier, vol. 240(C).
    19. Chaitanya B. Pande & Kanak N. Moharir & Sudhir Kumar Singh & Bloodless Dzwairo, 2020. "Groundwater evaluation for drinking purposes using statistical index: study of Akola and Buldhana districts of Maharashtra, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7453-7471, December.
    20. Zubairul Islam & Muthukumarasamy Ranganathan & Murugesan Bagyaraj & Sudhir Kumar Singh & Sandeep Kumar Gautam, 2022. "Multi-decadal groundwater variability analysis using geostatistical method for groundwater sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3146-3164, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:100:y:2020:i:2:d:10.1007_s11069-019-03829-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.