%0 Generic
%A Hendrickx, Gijs
%D 2023
%T NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset
%U https://data.4tu.nl/articles/dataset/NEESI_Numerical_Experiments_of_Estuarine_Salt_Intrusion/22272247
%R 10.4121/4008754b-e1d5-4510-80d2-99604dd06731.v1
%K salt intrusion
%K estuary
%K Delft3D Flexible Mesh
%X <p>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.</p>
%I 4TU.ResearchData