Numerical investigation of long-term planform dynamics and stability of river meandering on fluvial floodplains

Xu, Dong; Bai, Yuchuan; Ma, Jie; Tong, Yan

doi:10.1016/j.geomorph.2011.05.009

Cited by 40 publications

(30 citation statements)

References 50 publications

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“…After the flow field is determined, the bank migration rate can be calculated by Equations (18) and (20). The new channel after a given time interval Δt is computed using the following expressions:…”

Section: Solution Algorithmmentioning

confidence: 99%

“…Bolla Pittaluga et al [18] developed a nonlinear bend instability model for meandering channels, which was able to describe the nonlinear response of the meandering processes to initial small perturbations. Other nonlinear models were also developed by Parker et al [19], Xu et al [20] and, undoubtedly, others as well. These models were applied in the modeling study of meander dynamics, which improved our understanding of the nature of meandering evolutions.…”

Section: Introductionmentioning

confidence: 99%

“…The classical HIPS model [4] empirically correlates the bank migration rate to the near-bank "excess" flow velocity (difference between the near-bank and cross-sectional average velocity). More sophisticated bank erosion models have also been proposed, which take the influences of other channel factors such as the bank height, bank material, mass failure and vegetation into consideration [20][21][22][23][24][25]. Nonetheless, these models assumed that the channel width held constant during meander evolution, and cannot be applied in simulating the width adjustment.…”

Section: Introductionmentioning

confidence: 99%

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Modeling Flow Pattern and Evolution of Meandering Channels with a Nonlinear Model

Zhang

et al. 2016

Water

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Abstract:Meander dynamics has been the focus of river engineering for decades; however, it remains a challenge for researchers to precisely replicate natural evolution processes of meandering channels with numerical models due to the high nonlinearity of the governing equations. The present study puts forward a nonlinear model to simulate the flow pattern and evolution of meandering channels. The proposed meander model adopts the nonlinear hydrodynamic submodel developed by Blanckaert and de Vriend, which accounts for the nonlinear interactions between secondary flow and main flow and therefore has no curvature restriction. With the computational flow field, the evolution process of the channel centerline is simulated using the Bank Erosion and Retreat Model (BERM) developed by Chen and Duan. Verification against two laboratory flume experiments indicates the proposed meander model yields satisfactory agreement with the measured data. For comparison, the same experimental cases are also simulated with the linear version of the hydrodynamic submodel. Calculated results show that the flow pattern and meander evolution process predicted by the nonlinear and the linear models are similar for mildly curved channels, whereas they exhibit different characteristics when channel sinuosity becomes relatively high. It is indicated that the nonlinear interactions between main flow and secondary flow prevent the growth of the secondary flow and induce a more uniform transverse velocity profile in high-sinuosity channels, which slows down the evolution process of meandering channels.

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Section: Solution Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling Flow Pattern and Evolution of Meandering Channels with a Nonlinear Model

Zhang

et al. 2016

Water

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“…A part magassága is fontos a pusztulás szempontjából (Xu et al 2011), ugyanis minél magasabb annál lassabban hátrál, amelyet Blanka (2010) Hernádon végzett vizsgálatai is alátámasztanak. Magasabb part pusztulásakor viszont egyszerre több anyag kerülhet a folyóba, melyet így csak hosszabb idő alatt képes elszállítani a vízfolyás .…”

Section: Partpusztulás éS Az Azt Befolyásoló Tényezőkunclassified

“…Hughes 1977). Eredményeim szerint a Dráván a partok pusztulását alapvetően befolyásolja a partok magassága, amely egybevág Xu et al (2011) eredményeivel. A heresznyei magaspartnál ugyanis a külső ív folyásirány felőli felső részén, napjainkban 520 méter hosszan a vízfelszín felett egy 20-22 m magasságú magaspart húzódik, míg a kanyarulat alsó szakaszán 850 méter hosszúságban jóval alacsonyabb (3-3,5 m) partot erodál a Dráva.…”

Section: Kanyarulatfejlődés Sajátosságaiunclassified

A Dráva horvát-magyar szakaszán a vízjárás és a mederdinamika vizsgálata

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Models in Fluvial Geomorphology

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2003

Tools in Fluvial Geomorphology

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2D channel morphology, 115-117 recent applications, 116 2D mapping of flood inundation, 120-121 2D mapping of floodplain morphology, 119-120 2D mapping of overbank sedimentation, deposition and scour, 121-122 3D channel morphology, 117-119 3D mapping of floodplain morphology, 119-120 3D mapping of overbank sedimentation, deposition and scour, 121-122 A a priori hypothesis, 6 accelerator mass spectrometry (AMS), 19-20 acoustic Doppler current profilers (ADCPs) for sediment transport, 329 accuracy, 274 accuracy of data sources cartographic record, 61 assessing accuracy, 66 attribute accuracy, 65-66 positional accuracy, 61-62 temporal accuracy, 66 documentary record, 61-63 modern historical record, 71 acoustic back-scattering (ABS) sensors, 329-330 acoustic Doppler current profilers (ADCPs) discharge measurement, 266-267 flow velocity measurement, 264-265 sediment transport, 329 acoustic Doppler velocitometers (ADVs) for flow velocity measurement, 263-4, 458 acoustic sensors, 329 active transformation, 43 advection-diffusion equation, 421 adventitious sprouts, 217-218 aerial photography analysis, 103, 122 advantages and disadvantages, 110, 123, 125, 126, 127 floodplain geomorphology and fluvial processes 2D and 3D mapping of floodplain morphology, 119-120 2D and 3D mapping of overbank sedimentation, deposition and scour, 121-122 2D mapping of flood inundation, 120-121 physical basis considerations, 110 electromagnetic radiation (EMR), 108-109 geometric accuracy, 112 image format, 111 overview, 115 photogrammetry, 103-108 scale and spatial accuracy issues, 110-112 sensor resolution, 111-112 sensors and platforms, 109-110 Tools in Fluvial Geomorphology, Second Edition. Edited by G. Mathias Kondolf and Hervé Piégay.

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Numerical investigation of long-term planform dynamics and stability of river meandering on fluvial floodplains

Cited by 40 publications

References 50 publications

Modeling Flow Pattern and Evolution of Meandering Channels with a Nonlinear Model

Modeling Flow Pattern and Evolution of Meandering Channels with a Nonlinear Model

A Dráva horvát-magyar szakaszán a vízjárás és a mederdinamika vizsgálata

Models in Fluvial Geomorphology

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