Description
An open-source artificial neural network for estuarine salt intrusion trained with process-based model simulations using the state-of-the-art hydrodynamic modelling software Delft3D Flexible Mesh.
| Date made available | 13 Sept 2022 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
| Date of data production | 2022 - |
Software license
- Apache License 2.0
Datasets
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NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset
Hendrickx, G. (Creator), TU Delft - 4TU.ResearchData, 20 Mar 2023
DOI: 10.4121/22272247
Dataset/Software: Dataset
Research output
- 1 Dissertation (TU Delft)
-
Nature-based solutions to mitigate salt intrusion
Hendrickx, G. G., 2024, 240 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile84 Downloads (Pure)
Cite this
- DataSetCite