Water balance in the Dutch river Rhine and rating curve uncertainty

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Abstract

Accurate rating curves are essential for a wide range of river management pur­ poses, particularly as a basis for flood risk management. In our research, we investigate rating curve uncertainties as related to flow measurement errors. We consider the three largest Dutch river Rhine branches (Bovenrijn, Waal and Pannerdensch Kanaal) and the bifurcation point Pan­ nerdense Kop. Comparing the official rating curves for these river channels shows that the water balance is not closing (up to 5% deviation), and this gives a direct indication of the uncertainty in the rating curves. We quantify rating curve uncertainty using Bayesian inference and Markov chain Monte Carlo simulations, as based on homogenous measurement data sets. Next, we show how water balance considerations can influence the uncertainty of rating curves. Finally, we dis­ cuss implications for current flood risk norms in the Netherlands and implications for future hydrometric campaigns.
Original languageEnglish
Title of host publicationRiver Flow 2020
Subtitle of host publicationProceedings of the 10th Conference on Fluvial Hydraulics (Delft, Netherlands, 7-10 July 2020)
EditorsWim Uijttewaal, Mario J. Franca, Daniel Valero, Victor Chavarrias, Claudia Ylla Arbos, Ralph Schielen, Alessandra Crosato
Place of PublicationLondon
PublisherCRC Press/Balkema
Pages2171-2178
ISBN (Electronic)978-1-003-11095-8
ISBN (Print)978-0-367-62773-7
Publication statusPublished - 2020
Event10th Conference on Fluvial Hydraulics, River Flow 2020 - Delft, Netherlands
Duration: 7 Jul 202010 Jul 2020
Conference number: 10

Conference

Conference10th Conference on Fluvial Hydraulics, River Flow 2020
Abbreviated titleRiver Flow
CountryNetherlands
CityDelft
Period7/07/2010/07/20

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