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: 10.4121/5a1d40d9-9100-478e-8743-87e949c78671

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

Dataset

• Civil Engineering
• Geophysics
• Earth Sciences
• Engineering

bed level data, Bovenrijn, interactive atlas, Waal, wavelet

2005-2020

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Ralph Schielen , D.C.M. (Denie) Augustijn , A.J. (Andries) Paarlberg , Michiel Reneerkens , R. Pepijn van Denderen , R.M.J. (Ralph) Schielen

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.

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

4TU.ResearchData

compressed folders and readme textfile

• TKI Deltatechnologie (grant code UTW01) TKI Deltatechnologie

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