Simulation-based Evaluation of Hydrographic Data Analysis for Dune Tracking on the River Rhine

Author:

Lorenz FelixORCID,Artz Thomas,Brüggemann Thomas,Reich Julius,Weiß Robert,Winterscheid Axel

Abstract

AbstractKnowledge of the static and morphodynamic components of the river bed is important for the maintenance of waterways. Under the action of a current, parts of the river bed sediments can move in the form of dunes. Recordings of the river bed by multibeam echosounding are used as input data within a morphological analysis in order to compute the bedload transport rate using detected dune shape and migration. Before the morphological analysis, a suitable processing of the measurement data is essential to minimize inherent uncertainties. This paper presents a simulation-based evaluation of suitable data processing concepts for vertical sections of bed forms based on a case study at the river Rhine. For the presented spatial approaches, suitable parameter sets are found, which allow the reproduction of nominal dune parameters in the range of a few centimetres. However, if parameter sets are chosen inadequately, the subsequently derived dune parameters can deviate by several decimetres from the simulated truth. A simulation-based workflow is presented, to find the optimal hydrographic data processing strategy for a given dune geometry.

Funder

Bundesministerium für Verkehr und Digitale Infrastruktur

Bundesanstalt für Gewässerkunde

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Instrumentation,Geography, Planning and Development

Reference24 articles.

1. Akima H (1969) A method of smooth curve fitting. Tech. Rep, ESSA Research Laboratories

2. Artz T, Willersin D (2020) Hydrographische maßnahmen für eine smart-bwastr. Interdisziplinärer Wasserbau im digitalen Wandel 63:225–234

3. Bechteler W (2006) Sedimentquellen und Transportprozesse, Sustainable Sediment Management in Alpine Reservoirs considering ecological and economical aspects, vol 2. Universität der Bundeswehr München, Institut für Wasserwesen, Munchen

4. Bradley RW, Venditti JG (2019) Transport scaling of dune dimensions in shallow flows. J Geophys Res Earth Surf 124(2):526–547. https://doi.org/10.1029/2018JF004832

5. Chicco D, Jurman G (2020) The advantages of the Matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation. BMC Genom. https://doi.org/10.1186/s12864-019-6413-7

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