NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset

DOI:10.4121/4008754b-e1d5-4510-80d2-99604dd06731.v3
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/4008754b-e1d5-4510-80d2-99604dd06731

Datacite citation style

Hendrickx, Gijs (2024): NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/4008754b-e1d5-4510-80d2-99604dd06731.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 3 - 2024-04-10 (latest)
Version 2 - 2023-10-31 Version 1 - 2023-03-20

The dataset contains the processed data of 1252 simulations using Delft3D Flexible Mesh (DFM) in which estuaries were designed using a parametric design. Every estuary design is based on thirteen (13) input parameters: three (3) boundary conditions, and ten (10) geomorphological characteristics. The output is represented by two (2) variables: (1) the salt intrusion length, 'L'; and (2) the salt variability, 'V'. Simulations are carried out over a span of nine (9) days of which the first eight (8) are considered spin-up; i.e., one (1) day of the simulation is used for further post-processing. The salt intrusion length is a depth- and tide-averaged estimation of the salt intrusion of this last day; and the salt variability an estimate of the difference between the maximum salinity and the minimum salinity over the tide, depth- and spatially- averaged. The various settings of the simulations are drawn using machine learning techniques.

History

  • 2023-03-20 first online
  • 2024-04-10 published, posted

Publisher

4TU.ResearchData

Format

*.csv; *.zip

Funding

  • P18-32 Project 7

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering

DATA

Files (3)