Hendrickx, Gijs (2023): NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4008754b-e1d5-4510-80d2-99604dd06731.v1

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

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Categories

• Civil Engineering
• Environmental Engineering
• Engineering

Keywords

Delft3D Flexible Mesh estuary salt intrusion

Licence

CC BY 4.0

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by Gijs Hendrickx

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, published, posted

Publisher

4TU.ResearchData

Format

*.csv

Associated peer-reviewed publication

Predicting the response of complex systems for coastal management

Funding

• P18-32 Project 7

Organizations

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