EGU26-16063, updated on 29 May 2026
https://doi.org/10.5194/egusphere-egu26-16063
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Optimising the Uttarakhand EEWS: A Hybrid Data and Next-Generation Algorithm Approach
Sandeep Sandeep1, Monika Monika1, Pankaj Kumar2, Nishtha Srivastava3, Cyril Shaju4, and Sural Kumar Pal5
Sandeep Sandeep et al.
  • 1Department of Geophysics, Banaras Hindu University, Varanasi, India (sandeepfgp@bhu.ac.in)
  • 2National Institute of Disaster Management, Delhi, India (Pankajkumar.nidm@nic.in)
  • 3Goethe University, Germany (N.Srivastava@em.uni-frankfurt.de)
  • 4Indian Institute of Technology Roorkee, Roorkee, India (cyrilcyriacshaju@gmail.com)
  • 5National Center for Seismology, Delhi, India (surajgeop1996@bhu.ac.in)

How to cite: Sandeep, S., Monika, M., Kumar, P., Srivastava, N., Shaju, C., and Pal, S. K.: Optimising the Uttarakhand EEWS: A Hybrid Data and Next-Generation Algorithm Approach, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-16063, https://doi.org/10.5194/egusphere-egu26-16063, 2026.

This abstract has been withdrawn on 11 Aug 2026.