NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset

doi: 10.4121/4008754b-e1d5-4510-80d2-99604dd06731.v1
The doi 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 (2023): NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset. Version 1. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

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.

  • 2023-03-20 first online, published, posted
  • P18-32 Project 7
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering


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