In this study, the historic flood event of the Rhine river was reconstructed with the use of a hydraulic model. Therefore, the 1800 bathymetry as well as land use was reconstructed based on old maps. A 1D-2D coupled model was set-up which was used to create training data to set up an Artificial Neural Network. Measured water levels at Pannerden and Nijmegen were used to predict corresponding maximum discharge at Lobith.
1D-2D coupled model, Artificial Neural Network, Flood reconstruction, Historical bathymetry, Land use classes, Measured water levels, Civil engineering
|Date made available||5 Nov 2019|
|Publisher||4TU.Centre for Research Data|
|Date of data production||1 May 2019|
|Geographical coverage||Dutch Rhine delta|
|Geospatial point||52.001024, 5.000670|