Projecting impacts of climate change on water quality and quantity using an AI-based model as an innovative alternative to physically-based models

Seyed Mohammad Mahdi Moezzi; Ali Abousaeidi; Farkhondeh Khorashadi Zadeh; Razi Sheikholeslami; Albert Nkwasa; Ann van Griensven

doi:https://doi.org/10.5194/egusphere-egu24-21915

[Back] [Session HS2.3.2]

EGU24-21915, updated on 11 Mar 2024

https://doi.org/10.5194/egusphere-egu24-21915

EGU General Assembly 2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Projecting impacts of climate change on water quality and quantity using an AI-based model as an innovative alternative to physically-based models

Seyed Mohammad Mahdi Moezzi¹, Ali Abousaeidi¹, Farkhondeh Khorashadi Zadeh^1,2, Razi Sheikholeslami¹, Albert Nkwasa², and Ann van Griensven²

Seyed Mohammad Mahdi Moezzi et al.

¹Department of Civil Engineering, Sharif University of Technology, Tehran, Iran
²Vrije Universiteit Brussel, Department of Water and Climate, Brussels, Belgium

How to cite: Moezzi, S. M. M., Abousaeidi, A., Khorashadi Zadeh, F., Sheikholeslami, R., Nkwasa, A., and van Griensven, A.: Projecting impacts of climate change on water quality and quantity using an AI-based model as an innovative alternative to physically-based models, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-21915, https://doi.org/10.5194/egusphere-egu24-21915, 2024.

This abstract has been withdrawn on 06 May 2024.