EGU26-740, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-740
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
A Bayesian Non-Stationary Framework for Bivariate Compound Flood Risk Assessment Along the Indian Coast
Usman Mohseni1, Vinnarasi Rajendran2, and Abdou Khouakhi3
Usman Mohseni et al.
  • 1Visiting Researcher in Environment and Agrifood, Cranfield University, Cranfield, United Kingdom (usman.mohseni@cranfield.ac.uk)
  • 2Assistant Professor, Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India
  • 3Cranfield Environment Centre, Faculty of Engineering and Applied Science, Cranfield University, Cranfield, United Kingdom

How to cite: Mohseni, U., Rajendran, V., and Khouakhi, A.: A Bayesian Non-Stationary Framework for Bivariate Compound Flood Risk Assessment Along the Indian Coast, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-740, https://doi.org/10.5194/egusphere-egu26-740, 2026.

This abstract has been withdrawn on 11 Aug 2026.