EGU26-15889, updated on 17 Apr 2026
https://doi.org/10.5194/egusphere-egu26-15889
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Solving 3D Inverse Groundwater Source History Problems in a LSO Framework Using Physics-Informed Neural Networks and Simulated Annealing in Homogeneous Aquifers
- Zuckerberg Institute for Water Research, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Israel (sri.pce15@iitp.ac.in)
How to cite: Dey, S. and Hansen, S. K.: Solving 3D Inverse Groundwater Source History Problems in a LSO Framework Using Physics-Informed Neural Networks and Simulated Annealing in Homogeneous Aquifers, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15889, https://doi.org/10.5194/egusphere-egu26-15889, 2026.