IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
Log On
About IAHRDirectoryCommitteesMy IAHRNews & JournalseLibraryeShopEventsJoin IAHRWorld CongressDonate
spacer.gif
spacer.gif eLibrary
spacer.gif eLibrary
You are here : eLibrary : IAHR World Congress Proceedings : 34th Congress - Brisbane (2011) : THEME 7: Hydroinformatics : A hybrid approach in combining numerical and data-driven models in modelling fine sediment transport
A hybrid approach in combining numerical and data-driven models in modelling fine sediment transport
Author : B. Bhattacharya, S. Sewagudde, T. van Kessel and D.P. Solomatine
This paper presents an investigation on the performance of a numerical model when time varying sediment boundary conditions are specified instead of time invariant conditions in simulating suspended particulate matter (SPM) along the Dutch Coast. The time varying sediment boundary conditions are generated using an artificial neural network (ANN) model. The ANN model is built using measured data and data generated by a numerical model. A hybrid modelling approach is developed in using the SPM time series generated by the ANN model as a sediment boundary condition at the open boundary of a fine-grid 3D numerical model of the Dutch Coast using Delft3D. Results of this approach are compared with those when time invariant sediment concentration is specified at the open boundary. It is concluded that the sediment boundary condition provided by the ANN model provides improved simulation results and the methodology presents new horizons for developing hybrid models.
File Size : 1,469,906 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 34th Congress - Brisbane (2011)
Article : THEME 7: Hydroinformatics
Date Published : 01/07/2011
Download Now