22 & 23 May 2025: Join the mini-conference on Open and FAIR in Natural and Engineering Sciences. Register to attend.

NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset

Datacite citation style

Hendrickx, Gijs (2023): NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/4008754b-e1d5-4510-80d2-99604dd06731.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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
  • 2023-10-31 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)