Salt marsh modelling

implemented on a GPU

Master Thesis (2018)
Author(s)

L. Peeters (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

C. Vuik – Mentor

Johan van de Koppel – Mentor

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2018 Lotte Peeters
More Info
expand_more
Publication Year
2018
Language
English
Copyright
© 2018 Lotte Peeters
Graduation Date
29-06-2018
Awarding Institution
Delft University of Technology
Programme
['Applied Mathematics']
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In this thesis, a coupled hydrodynamic, morphodynamic and plant growth model is reviewed. The goal of this model is to simulate plant colonization and channel formation on an initially flat or ascending substrate in a tidal landscape. To be able to simulate these biophysical processes on a small enough scale (while still using the same spatial scales), the model is implemented on a graphics processing unit. The focus of this thesis lies on the grid and space-discretisation and the processes involved.

In the simulation presented in this thesis, the finite difference discretisation on a collocated grid is replaced by a finite volume discretisation on a staggered grid. Besides, the current model assumes that there is a constant input of water throughout the whole computational domain and sediment deposition depends on the water height. In order to make the model more realistic, the simulation of tidal action is added. Afterwards, a transport equation is added, allowing to simulate the transport of substances. When implementing these improvements the features of a graphics processing unit need to be taken into account.
In the end, the advantages and limitations of our model are discussed extensively.

Files

MSc_study_final.pdf
(pdf | 29.1 Mb)
License info not available