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: 10.4121/14578749

de Lange, Sjoukje (2021): Replication Dataset for Quantifying hydraulic roughness from field data: can dune morphology tell the whole story?. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14578749.v1

Dataset

• Physical Geography and Environmental Geoscience

ADCP data, hydraulic roughness, multibeam echosounder data, river dunes, river morphology, water level

2014-2016

CC BY-NC-SA 4.0

• Quantifying hydraulic roughness from field data: can dune morphology tell the whole story?

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

by Sjoukje de Lange

This dataset consists of the data used in "de Lange, S., Naqshband, S., Hoitink, A.J.F., 2021, Quantifying hydraulic roughness from field data: can dune morphology tell the whole story?, WRR, in review".
Field data is from the lower Rhine and Waal river, the Netherlands. It consists of a brief data description, 5 multibeam echosounder datasets, 3 water surface datasets, the grain size distribution, and various measures river geometry and of hydrologic conditions in 2014-2016. Finally, scripts to calculate river curvature, to transform Cartesian to river coordinates, and to calculate dune geometry from a single profile, are provided.

• 2021-05-28 first online, published, posted

4TU.ResearchData

Quantifying hydraulic roughness from field data: can dune morphology tell the whole story?

• Netherlands Organization for Scientific Research (NWO), within Vici project “Deltas out of shape: regime changes of sediment dynamics in tide-influenced deltas” (Grant NWO-TTW 17062)

Wageningen University & Research, Department of Environmental Sciences
Rijkswaterstaat, Directorate-General for Public Works and Water Management, the Netherlands