Performance comparison of physics-based and machine learning assisted multi-fidelity methods for the management of coastal aquifer systems

Performance comparison of physics-based and machine learning assisted multi-fidelity methods for the management of coastal aquifer systems

In this work we investigate the performance of various lower-fidelity models of seawater intrusion in coastal aquifer management problems. The variable density model is considered as the high-fidelity model and a pumping optimization framework is applied on a hypothetical coastal aquifer system in o...

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Bibliographic Details
Main Authors: George Kopsiaftis, Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis, Nikolaos Doulamis, Aristotelis Mantoglou
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Water
Subjects:
variable density
sharp interface
machine learning
coastal aquifer
pumping optimization
random forests
Online Access:https://www.frontiersin.org/articles/10.3389/frwa.2023.1195029/full

Internet

https://www.frontiersin.org/articles/10.3389/frwa.2023.1195029/full

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