Long-Term Impact of Sediment Deposition and Erosion on Water Surface Profiles in the Ner River

Self Cite

The purpose of the paper was to present selected techniques for the control of river flow and sediment transport computations with the programming language Python. The base software for modeling of river processes was the well-known and widely used HEC-RAS. The concepts were tested on two models created for a single reach of the Warta river located in the central part of Poland. The ideas described were illustrated with three examples. The first was a basic simulation of a steady flow run from the Python script. The second example presented automatic calibration of model roughness coefficients with Nelder-Mead simplex from the SciPy module. In the third example, the sediment transport was controlled by Python script. Sediment samples were accessed and changed in the sediment data file stored in XML format. The results of the sediment simulation were read from HDF5 files. The presented techniques showed good effectiveness of this approach. The paper compared the developed techniques with other, earlier approaches to control of HEC-RAS computations. Possible further developments were also discussed.

Section: General Remarks On Analyzed Examplesmentioning

confidence: 99%

Application of Python Scripting Techniques for Control and Automation of HEC-RAS Simulations

Dysarz

2018

Self Cite

“…The Meyer-Peter and Müller model is widely applied for the calculation of the bed load transport rate [44,45]. In Dysarz's work [46], the Meyer-Peter and Müller model and Engelund-Hansen model are applied for the calculation of sediment transport, as they reflect the sediment uncertainty and are used for the generation of river bottom profiles. These models are feasible for the prediction of sediment transport rate and have shown good application results on general rivers [44,46].…”

Section: Sediment Impact On Diversion Systemmentioning

confidence: 99%

“…In Dysarz's work [46], the Meyer-Peter and Müller model and Engelund-Hansen model are applied for the calculation of sediment transport, as they reflect the sediment uncertainty and are used for the generation of river bottom profiles. These models are feasible for the prediction of sediment transport rate and have shown good application results on general rivers [44,46]. However, the applicability of these models on hyper-concentrated sandy rivers, like the sediment-laden flow of the Jing River remains unclear, for lack of supportive literatures on application.…”

Section: Sediment Impact On Diversion Systemmentioning

confidence: 99%

“…However, the applicability of these models on hyper-concentrated sandy rivers, like the sediment-laden flow of the Jing River remains unclear, for lack of supportive literatures on application. Moreover, the Meyer-Peter and Müller model is based on laboratory experiments for coarse sediments, like coarse sands and gravel [41,46], but the Jing River has very fine silt, with a median particle diameter of only 0.021 mm. The Van Rijin model has better results than the Engelund-Hansen and Ackers-White models on the lower reach of the Yellow River, near the Bohai Sea Gulf [43].…”

Section: Sediment Impact On Diversion Systemmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of Sediment Impact on the Risk of River Diversion during Dam Construction: A Simulation-Based Project Study on the Jing River, China

Song

Liu

et al. 2018

Dams are vital for water resource utilization, and river diversion is key for dam construction safety. As sandy river basins are important exploitation areas that have special diversion features, the impact of sediment on the risk of river diversion during dam construction should be assessed. Diversion uncertainty is the origin of diversion risk, and sediment uncertainty changes the storage and discharge patterns of the diversion system. Two Gumbel-Hougaard (GH) copula functions are adopted to couple the random variables of flood and sediment, so that the sediment impacts on diversion storage and discharge can be obtained by the sampling of flood peaks. Based on variable coupling and sediment amendment, a method of Monte Carlo simulation (MCS) with a water balance calculation can quantitatively assess the risk of sandy river diversion, by evaluating the probability of upstream cofferdam overtopping. By introducing one diversion project on the Jing River in China with a clear water contrast, the risk values of dam construction diversion with or without sediment impacts can be obtained. Results show that the MCS method is feasible for diversion risk assessment; sediment has a negative impact on the risk of river diversion during dam construction, and this degradation effect is more evident for high-assurance diversion schemes.

“…Velocities and depth gradients are then much smaller. This is naturally reflected in the dynamics of debris transport and hydromorphological changes in the watercourse channel [5,34,35].…”

Section: Introductionmentioning

confidence: 99%

Modeling of River Channel Shading as a Factor for Changes in Hydromorphological Conditions of Small Lowland Rivers

Kałuża

Sojka

Wróżyński

et al. 2020

The ecological water quality in rivers and streams is influenced both by the morphological factors (within the watercourse channel and by the dynamic factors associated with flow), as well as biological factors (connected with the flora and fauna characteristic of its specific area). This paper presents an analysis of the effect of river channel shading by trees and shrubs on hydromorphological changes in a selected reach of the Wełna River, Poland. The analysis was conducted on two adjacent cross-sections (one in a reach lined with trees, the other in an open area with no tree or shrub vegetation). Data were collected during field surveys in the years 2014 and 2019. According to the Water Framework Directive, the Wełna River represents a watercourse with small and average-sized watershed areas, with sand being the dominant substrate of the river bottom. Flow volume, distributions of velocity in the sections, as well as substrate grain-size characteristics and river bottom morphology, were determined based on field measurements. In the study, the leaf area index (LAI) of vegetation was measured in the reach lined with trees, while the number and species composition of macrophytes were determined in the investigated river reaches. Moreover, a digital surface model (DSM) and Geoinformation Information System GIS tools were used to illustrate variability in shading within the tree-lined reach. The DSM model was based on Light Detection and Ranging (LIDAR) data. The results of this study enable us to establish the relationship between river shading by vegetation covering the bank zone, and changes in hydromorphological parameters of the river channel.