Surrogate Hydrodynamic Modeling

"Surrogate Hydrodynamic Modeling" is a method that involves constructing a surrogate model to simulate complex hydrodynamic processes, aiming to enhance computational efficiency and reduce resource consumption. This approach leverages machine learning techniques, training the surrogate model on data generated by high-precision physical models to achieve rapid and accurate predictions of phenomena such as water flow and wave action. The primary objective is to optimize the simulation workflow, improving the real-time performance and operability of the models. It is widely applied in fields like marine engineering, river management, and environmental monitoring, providing a scientific basis for decision-making.