TY - DATA
T1 - NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset
PY - 2023/03/20
AU - Gijs Hendrickx
UR - https://data.4tu.nl/articles/dataset/NEESI_Numerical_Experiments_of_Estuarine_Salt_Intrusion/22272247
DO - 10.4121/4008754b-e1d5-4510-80d2-99604dd06731.v1
KW - salt intrusion
KW - estuary
KW - Delft3D Flexible Mesh
N2 - <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>
ER -