Data and code underlying the MSc thesis: Test the potential of using riparian forests to reduce wave load and optimize dike design

doi:10.4121/56b78562-c16c-4466-893f-422d8902e57a.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/56b78562-c16c-4466-893f-422d8902e57a
Datacite citation style:
Scheel, Bart (2024): Data and code underlying the MSc thesis: Test the potential of using riparian forests to reduce wave load and optimize dike design. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/56b78562-c16c-4466-893f-422d8902e57a.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

A code was written to model the effect of a riparian (willow) forest on incoming waves, and what the effect of the wave reduction has on dike safety with respect to erosion of the outer slope of a grass dike in the Netherlands (due to wave impact and wave run-up).

history
  • 2024-11-15 first online, published, posted
publisher
4TU.ResearchData
format
.py/.xlsx
organizations
TU Delft, Faculty of Civil Engineering and Geosciences

DATA - under embargo

The files in this dataset are under embargo until 2027-02-09.

Reason

These models were developed within the WOODY project but we are not sure when they will be published. We've therefore embargoed for the duration of the project