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Replication Dataset: Analyzing natural bed-level dynamics to mitigate the morphological impact of river interventions

DOI:10.4121/5a1d40d9-9100-478e-8743-87e949c78671.v1
The DOI displayed 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: 10.4121/5a1d40d9-9100-478e-8743-87e949c78671

Datacite citation style

Schielen, Ralph; D.C.M. (Denie) Augustijn; Paarlberg, A.J. (Andries); Reneerkens, Michiel; van Denderen, Pepijn et. al. (2023): Replication Dataset: Analyzing natural bed-level dynamics to mitigate the morphological impact of river interventions. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5a1d40d9-9100-478e-8743-87e949c78671.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Usage statistics

411
views
443
downloads

Geolocation

Bovenrijn/Waal the Netherlands

Time coverage

2005-2020

Licence

CC0

Interoperability

The river bed level in low-land rivers like the Rhine branches in the Netherlands changes continuously on various spatial and temporal scales. We use biweekly (2005-2020) multibeam bed-level measurements of the river Bovenrijn/Waal to study the morphological changes on multiple scales using a wavelet transform. The dataset contains the unfiltered and the filtered results that were presented in the article. The data is aggregated in the interactive atlas to show the bed-level changes in time and as function of the discharge.


History

  • 2023-06-21 first online, published, posted

Publisher

4TU.ResearchData

Format

compressed folders and readme textfile

Funding

  • TKI Deltatechnologie (grant code UTW01) TKI Deltatechnologie

Organizations

Ministry of Infrastructure and Water Management-Rijkswaterstaat;
HKV lijn in water;
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering;
University of Twente, Faculty of Engineering Technology, Marine and Fluvial Systems

DATA

Files (3)