The applications of the enhanced CCHE2D model to study the alluvial channel migration processes

Duan, Jennifer G.; Wang, Sam S. Y.; Jia, Yafei

doi:10.1080/00221686.2001.9628272

Cited by 107 publications

(65 citation statements)

References 22 publications

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“…This approach suggested that the rate of basal bank erosion depends on the longitudinal gradient of sediment transport, strength of secondary flow, and sediment eroded from the bank. Duan et al ͑2001͒ andDuan ͑2001a,b͒ stressed how the gradient of longitudinal sediment transport significantly impacts the advancement and retreat of bank lines through basal erosion and berm building. As a result, the initiation, widening, and migration of meandering channels together with the development of alternate bars were simulated.…”

Section: Introductionmentioning

confidence: 99%

“…Recently developed hydrodynamic and sediment transport models ͑Nagata et al Duan 1998;Duan et al 2001;Darby et al 2002;Olsen 2003͒ have the capability of predicting not only bed degradation or aggradation but also channel width adjustments. An empirical approach ͑Hasegawa 1981͒ was applied to a computational model by Nagata et al ͑2000͒ to predict bank erosion processes in meandering channels.…”

Section: Introductionmentioning

confidence: 99%

“…However, this approach does not include the simulation of bank geotechnical failure. Duan et al ͑2001͒ derived an analytical approach to predict the rate of basal bank erosion and applied it to a two-dimensional, depth-averaged model to simulate alluvial channel migration processes. This approach suggested that the rate of basal bank erosion depends on the longitudinal gradient of sediment transport, strength of secondary flow, and sediment eroded from the bank.…”

Section: Introductionmentioning

confidence: 99%

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Analytical Approach to Calculate Rate of Bank Erosion

Duan

2005

J. Hydraul. Eng.

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Bank erosion consists of two processes: basal erosion due to fluvial hydraulic force and bank failure under the influence of gravity. Because bank resistance force varies with the degree of saturation of bank material, the probability of bank failure is the probability of the driving force of bank failure being greater than the bank resistance force. The degree of saturation of bank material increases with river stage; therefore, the frequency of bank failure is correlated to the frequency of flooding. Consequently, the rate of bank erosion is due to both basal erosion and bank failure, and bank failure is a probabilistic phenomenon. In this paper, for cohesive bank material experiencing planar bank failure, a deterministic approach was adopted for basal erosion analysis, whereas the probability of bank failure was included in the analysis of bank failure. A method for calculating the rate of bank erosion was derived that integrates both basal erosion and bank failure processes, and accounts for the effects of hydraulic force, bank geometry, bank material properties, and probability of bank failure.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analytical Approach to Calculate Rate of Bank Erosion

Duan

2005

J. Hydraul. Eng.

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“…In one method, lateral erosion of a bank node is computed using the vertical erosion predicted by the 2D vertical model over a wetted bank. This approach, or its variant, was proposed by Hasegawa [28], and subsequently adopted by Nagata et al [18], Duan et al [19], and Chen and Duan [9]. The approach, however, worked well only for special cases; it might incur large uncertainties for steep banks due to limited number of mesh nodes that may be used to represent the banks.…”

Section: Basal Erosionmentioning

confidence: 99%

Modeling Stream Bank Erosion: Practical Stream Results and Future Needs

Lai¹

2017

Water

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Coupled two-dimensional (2D) morphodynamic and bank erosion models are gaining attentions in recent years. It has been shown that such models have advantages over the one-dimensional (1D) modeling approaches. In this paper, a previous 2D bank erosion model with the moving mesh method is extended to include the fixed mesh approach. Further, two practical streams with differing complexity are simulated to demonstrate the extended model. Both the moving mesh and fixed mesh methods are used in the modeling. The model consists of two components: a 2D flow and mobile-bed model for vertical bed changes and hydraulic forces acting on a bank and a lateral bank retreat model. The 2D vertical model and the lateral bank erosion model are coupled together spatially and temporally through a special procedure and a common mesh. With the experiences gained with practical stream modeling, the modeling procedure and key model input parameters are described. The study shows that the moving and fixed mesh methods together make the extended bank erosion model numerically robust and capable of predicting both the vertical bed changes and the lateral stream bank erosion for complex streams. Each individual method, however, has its own limitations in terms of model accuracy and efficiency. The moving mesh works well if bank retreat is relatively small, e.g., less than one channel width, and produces more accurate results than the fixed mesh method. The fixed mesh may be needed for ensuring numerical stability if a bank may be subject to significant retreat (e.g., more than one channel width). The fixed mesh method, however, is less accurate than the moving mesh method and a much refined mesh may be needed. Both methods need future research and improvements in terms of their model accuracy.

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“…Verification and validation using physical model data shows that it is capable of reproducing realistic physical mechanisms and giving a realistic estimation of the turbulence intensity of the flow. There have been many applications to natural channels with complex flow conditions, topography and hydraulic structures (Duan et al 2001;Jia and Wang 1999;…”

Section: Numerical Modelmentioning

confidence: 99%

Distribution of primary and secondary currents in sine-generated bends

2018

WSA

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The secondary circulation in a meandering channel redistributes the velocity over the bend. However, the shift of primary flow by secondary currents is not quantitatively understood, due to the difficulty in isolating the role of curvature-driven secondary flow from that of topography-driven secondary flow in bed-deformed meanders. The influences of curvaturedriven and topography-driven secondary currents on the redistribution of primary flow in sine-generated meandering channels were examined by CCHE2D. The model is calibrated using data measured in two sets of laboratory experiments including flat-bed flow and mobile-bed flow. Analysis indicated that topography-induced current mainly contributes to the redistribution of primary flow from inner to outer bank in the curved channels, rather than the secondary flow driven by curvature.

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The applications of the enhanced CCHE2D model to study the alluvial channel migration processes

Cited by 107 publications

References 22 publications

Analytical Approach to Calculate Rate of Bank Erosion

Analytical Approach to Calculate Rate of Bank Erosion

Modeling Stream Bank Erosion: Practical Stream Results and Future Needs

Distribution of primary and secondary currents in sine-generated bends

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