Palaeohydrologic conditions and geomorphic processes during the Postglacial in the Palatine Upper Rhine river floodplain

2009 ◽  
Vol 53 (2) ◽  
pp. 217-245 ◽  
Author(s):  
Andreas Lechner
Keyword(s):  
Rhine River ◽  
River Floodplain ◽  
Upper Rhine ◽  
Geomorphic Processes

Targeting lateral connectivity and morphodynamics in a large river-floodplain system: The upper Rhine River

2018 ◽  
Vol 34 (7) ◽  
pp. 734-744 ◽  
Author(s):  
M. Díaz-Redondo ◽  
G. Egger ◽  
M. Marchamalo ◽  
C. Damm ◽  
R.P. de Oliveira ◽  
...  
Keyword(s):  
Large River ◽  
Rhine River ◽  
Lateral Connectivity ◽  
River Floodplain ◽  
Upper Rhine

scholarly journals Temporal variability of partially-contaminated sediments in a strongly regulated reservoir of the upper Rhine River

2018 ◽  
Vol 40 ◽  
pp. 04025
Author(s):  
Germain Antoine ◽  
Thomas Pretet ◽  
Matthieu Secher ◽  
Anne Clutier
Keyword(s):  
Suspended Sediment ◽  
Contaminated Sediments ◽  
Measured Data ◽  
Regulated River ◽  
Suspended Sediment Transport ◽  
Rhine River ◽  
Initial State ◽  
Time Step ◽  
Field Campaigns ◽  
Upper Rhine

The upper Rhine River is a highly harnessed and regulated river. EDF (a French electricity company) is in charge of eight dams on the upper Rhine River for producing hydro-electricity. In order to increase the safety and the competitiveness of the installations, but also to reduce their environmental impact, the sediment dynamics in these reservoirs has become a key factor to control and predict. In this study, we focused on the Marckolsheim reservoir, which is located 50 kilometers upstream the city of Strasbourg. Since its construction in 1961, this reservoir has been filled continuously with cohesive sediments, partially contaminated. Two field campaigns were performed in 2015 and 2016 under two different discharge conditions, with the objectives of quantifying the complex velocity fields on this site. The numerical codes TELEMAC-2D and SISYPHE were used to simulate in 2D the hydrodynamic and the suspended sediment transport of the reservoir. A ten kilometers long model was built and calibrated with the measured data of the 2015 and 2016 field campaigns, but also with measurements of sediment parameters that have been done separately. The originality of this model consists in an explicit 3D representation of the dam gates. An algorithm was implemented in TELEMAC in order to adapt the gates position at each time step, in conformity with the real regulation rules followed by the dam operator. By using upstream measured data of discharge and suspended sediment concentration, a four months period was simulated. The comparison of the simulated results with bathymetric surveys shows good agreements if specific properties of sediments related to settling processes are taken into account. Finally, the dynamics of the contaminated sediments was simulated. A 3D spatial distribution of the contaminated sediments in the reservoir was defined at the initial state by using in situ measurements. The fully coupled hydraulic-sediment-pollutant simulation performed over a single flood event gives first interesting highlights on the resuspension conditions of the contaminated sediments.

Hydrological consistency between the upstream and downstream estimates of Q1000 flood on the upper Rhine River, using historical series in Basel (1808-2017) and Maxau (1815-2018)

2021 ◽  
Author(s):  
Michel Lang ◽  
Benjamin Renard ◽  
Jérôme Le Coz
Keyword(s):  
Return Period ◽  
Shape Parameter ◽  
Extreme Values ◽  
Flood Frequency ◽  
Alternative Methods ◽  
Flood Frequency Analysis ◽  
Rhine River ◽  
Gev Distribution ◽  
Historical Series ◽  
Upper Rhine

<div> <p>Estimation of extreme design floods with a short series of a few decades remains challenging because the statistical extrapolation of observed floods to extreme floods induces great uncertainties. Several alternative methods take advantage of the use of additional information: regional methods (e.g. the index flood method), Monte Carlo rainfall-runoff simulation methods, or specific statistical methods adapted to historical series. Here we present a flood frequency analysis on the upper Rhine River, using long historical series in Basel (1808-2017) and Maxau (1815-2018). We used a Bayesian framework to fit the parameters of the GEV distribution. Each value of the annual maximum discharge has uncertainties, which vary from ± 5-7% for the last decades to ± 22-42% for the oldest period depending on the station. At the local scale, without prior assumption on the three parameters of a GEV distribution, we found that the credibility intervals of the Basel and Maxau flood distributions are consistent. However, beyond a 1000-year return period, flood quantiles are incoherent with Q(Maxau) < Q(Basel) although Maxau (50 000 km<sup>2</sup>) is located downstream of Basel (36 000 km<sup>2</sup>). The floods at Basel are almost Gumbel distributed (shape parameter k = 0.066), whereas the floods at Maxau are Weibull distributed (shape parameter k = 0.219) with an asymptotic maximum value. Assuming that the shape parameter k has a certain regional consistency, we have performed a second iteration, with a prior interval [-0.1; +0.4] on k. The width of this interval corresponds to the union of the posterior distribution of k parameter of each local distribution: [-0.1; +0.2] at Basel and [0.0; +0.4] at Maxau. The second version of each distribution is almost the same up to a return period of 100 years, but there is no more crossing for extreme values. Using the predictive distribution with a regional prior on the shape parameter of the GEV distribution, the result is hydrologically consistent from upstream to downstream.</p> </div>

Thermal-infrared remote sensing of surface water-groundwater exchanges in a restored anastomosing channel (Upper Rhine River, France)

2017 ◽  
Vol 31 (5) ◽  
pp. 1113-1124 ◽  
Author(s):  
David Eschbach ◽  
Guillaume Piasny ◽  
Laurent Schmitt ◽  
Laurent Pfister ◽  
Pierre Grussenmeyer ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Surface Water ◽  
Thermal Infrared ◽  
Rhine River ◽  
Thermal Infrared Remote Sensing ◽  
Infrared Remote Sensing ◽  
Upper Rhine

Are sediments a risk? An ecotoxicological assessment of sediments from a quarry pond of the Upper Rhine River

2015 ◽  
Vol 16 (3) ◽  
pp. 1069-1080 ◽  
Author(s):  
Maria Schulze-Sylvester ◽  
Wilko Heimann ◽  
Sibylle Maletz ◽  
Thomas-Benjamin Seiler ◽  
Markus Brinkmann ◽  
...  
Keyword(s):  
Rhine River ◽  
Ecotoxicological Assessment ◽  
Upper Rhine

Occurrence of Stable Foam in the Upper Rhine River Caused by Plant-Derived Surfactants

2002 ◽  
Vol 36 (15) ◽  
pp. 3250-3256 ◽  
Author(s):  
Christian Wegner ◽  
Matthias Hamburger
Keyword(s):  
Rhine River ◽  
Stable Foam ◽  
Upper Rhine
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