mLSTM deep learning model to map flood hazard in an arid catchment &nbsp;

Hamid Gholami; Shayesteh Firouzy; Aliakbar Mohammadifar; Shahram Golzari

doi:https://doi.org/10.5194/egusphere-egu25-1924

[Back] [Session NH1.3]

EGU25-1924, updated on 14 Mar 2025

https://doi.org/10.5194/egusphere-egu25-1924

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

mLSTM deep learning model to map flood hazard in an arid catchment

Hamid Gholami¹, Shayesteh Firouzy², Aliakbar Mohammadifar, and Shahram Golzari

Hamid Gholami et al.

¹University of Hormozgan , Iran, Islamic Republic of (hadesertt64@gmail.com)
²University of Hormozgan, Iran, Islamic Republic of ( shayesteh.firouzy@yahoo.com)

How to cite: Gholami, H., Firouzy, S., Mohammadifar, A., and Golzari, S.: mLSTM deep learning model to map flood hazard in an arid catchment , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-1924, https://doi.org/10.5194/egusphere-egu25-1924, 2025.

This abstract has been withdrawn on 25 Jul 2025.