3 edition of Uncertainty analysis applied to numerical models of river bed morphology found in the catalog.
Uncertainty analysis applied to numerical models of river bed morphology
Hanneke van der Klis
|Statement||Hanneke van der Klis.|
|Series||Delft hydraulics select series -- 2/2003.|
|The Physical Object|
|Pagination||xvi, 147 p. :|
|Number of Pages||147|
In this research we deal with two problems of uncertainty analysis for hydraulic river models. In the first place, complex models often are too computationally demanding for Monte Carlo methods of uncertainty quantification. Secondly, existing uncertainty quantification methods are well established for systems that exhibit relatively little change. A model is developed for simulating changes in river bed morphology as a result of bed scouring during the release of an ice jam. The model couples a non-hydrostatic hydrodynamic model with the processes of erosion and deposition through a grid expansion technique.
A model of sediment transport and bed morphology links these features to the fluid dynamics of these sites. An understanding of confluence dynamics is important not only in considerations of channel morphology and design criteria but must form the basis for the interpretation of confluence sediments in the ancient record. 1. Introduction  Two‐dimensional (2D) numerical models have become a powerful, widely used tool for examining flow patterns in river channels. Over the past decade, an increasing number of studies have applied depth‐averaged models to investigate aquatic habitat conditions [e.g., Crowder and Diplas, ; Stewart et al., ; Brown and Pasternack, ], bed mobility and sediment.
RIVER MORPHOLOGY synthesizes the contributions made by geologists, geomorphologists, geographers, hydraulic engineers and hydrologists and presents a coherent text which takes a balanced view about formation on alluvial rivers and their hydraulics, and analysis of their response to natural and man-made disturbances. Many applications in river research and management rely upon two-dimensional (2D) numerical models to characterize flow fields, assess habitat conditions, and evaluate channel stability. Predictions from such models are potentially highly uncertain due to the uncertainty associated with the topographic data provided as input. This study used a spatial stochastic simulation strategy to examine.
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Much effort has been put into the development of sophisticated numerical models which simulate morphological changes of the river bed.
These numerical models are based on a deterministic approach Uncertainty Analysis Applied to Numerical Models of River Bed Morphology (Delft Hydraulics Select Series, 2): Hanneke Van Der Klis: : BooksCited by: Book Series; Home; Catalogue; Books; Uncertainty Analysis applied to Numerical Models of River Bed Morphology; Uncertainty Analysis applied to Numerical Models of River Bed Morphology.
Share. Info; Cover; Imprint Delft University Press Author. The objective of the study is to inventory the difficulties concerning uncertainty analysis of numerical models of river bed morphology.
Furthermore, a suitable method is searched to estimate the effects of uncertainties in the model parameters and input variables on the morphological model output. Uncertainty Analysis applied to Numerical Models of River Bed Morphology (). Pagina-navigatie: Main; Save publication.
Save as MODS; Export to Mendeley; Save as EndNote; Export to RefWorks; Title: Uncertainty Analysis applied to Numerical Models of River Bed Morphology: Author: van der Klis, H. Thesis advisor: de Vriend, H.J. Date issued Cited by: Download PDF: Sorry, we are unable to provide the full text but you may find it at the following location(s): (external link); http://oai Author: H.
van der Klis. Uncertainty Analysis applied to Numerical Models of River Bed Morphology. By H. (author) Topics: River bed morphology, numerical model. Publisher: Delft University Press.
Year: OAI identifier: oai::uuidf7fc54f-4a0d-8dc8-daca5ef2d Knowledge of the uncertainty in the hydraulic roughness and its inﬂuence on results of hydraulic-morphological numerical river models (results of the proposed project) is important for water management.
An example is the need for accurate water level pre. Uncertainty analysis is an essential step in river modelling. Knowledge of the uncertainty is crucial for a meaningful interpretation of the model results.
In this chapter we describe the whole process of an uncertainty analysis in four steps: identification, prioritization, quantification and propagation. In this case study, a 2D morphological model based on Delft3D was applied to a reach of the Upper Rhine. The discharges at the upstream boundary were considered as an uncertain input for the model and the effect of this uncertainty on the river bed was estimated.
This was done using a. Model uncertainty considerations. Uncertainty analysis methods are covered in the Chapter Chapter Uncertainty of Hydrological Predictions. Many of these methods are applied in erosion and sediment modeling, especially with more complex models where.
The numerical model was applied to two types of laboratory experiments: (1) local scour upstream of a slit weir and (2) sediment release from a dam gate where an open channel flow and a closed. This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data.
Effect of spatial grain size variations on two-dimensional river bed morphology. In: Proceedings of River, Coastal and Estuarine Morphodynamics, Genova, vol.
1, pp. – An uncertainty. The two approaches for estimating the uncertainty model under heteroscedastic conditions were applied to a real data set consisting of measurements taken at 10 different concentration levels, ranging from low (1 ppm) to high ( ppm) concentrations of an analyte (Paladium): 1, 2, 5, 10, 15, 30, 50, and ppm.
level changes in a large sand bed and gravel-sand bed river. - To show that the chosen numerical morphodynamical model is capable to estimate the impacts of new river regulation activities on river morphology. - To introduce and calibrate a method for the estimation of suspended solids concentration in rivers from ADCP backscatter signal.
Monte Carlo analysis was applied to quantify the uncertainty due to the hydraulic roughness predictor for the river bed and assess the effects on modeled water levels under design conditions. To carry out the Monte Carlo analysis, the probability density function (PDF) of the input model parameters.
River flooding is a problem of international interest. In the past few years many countries suffered from severe floods. A large part of the Netherlands is below sea level and river levels. The Dutch flood defences along the river Rhine are designed for water levels with a probability of exceedance of 1/ per year.
These water levels are computed with a hydrodynamic model using a. Integration of a geotechnical model within a morphodynamic model to investigate river meandering processes Y.Y.
Rousseau, M.J. Van de Wiel & P.M. Biron. Numerical studies on bed variations under interactions of vegetation and bank strength T. Uchida, I. Kimura, Y. Shimizu & S. Kawamura. Stability analysis on periodically changing of channel width. The model was successfully applied to reproduce experimental observation of bed degradation and aggradation along straight flumes; as well as scour and deposition along curved channels.
Data from a meandering river was also applied to test the model for full-scale applications. For the tests performed, the model proved stable and accurate.
Book Series; Keep me informed. Filter subject 42 Books / filtered by letter U. Uncertainty-based Design Optimization of Structures with bounded-but-unknown Uncertainties. Uncertainty Analysis applied to Numerical Models of River Bed Morphology. read. morphology (2) mud (2) numerical model (2) sand (2) sediment transport (2) uncertainty analysis (2) River bed morphology (1) bank accretion (1) bank erosion (1) bank shear stress (1) biogeomorphology (1) channel (1) flow and debris/mud flow.
In a hyperconcentrated flow, strong interactions exist between water flow, sediment, and river bed.C.3 Physical & numerical modelling in river engineering. Hydraulic analysis of transcritical flow in a drop structure applying 1D and 2D numerical models in comparison with a reduced-scale physical model J.B.
Abril. Historic changes in the Salt River bed stability and its implications on a flood control levee design I. Ahmed & G.E. Freeman.Unfortunately, most numerical simulations of physical systems are rife with sources of uncertainty.
Some examples include • Geometrical uncertainty (Is the geometry exactly known?) • Initial and boundary data uncertainty (Are initial/boundary conditions precisely known?) • Structural uncertainty (Do the equations model the physics?).