A simplified 2D model for meander migration with physically-based bank evolution

Motta, Davide; Abad, J. D.; Langendoen, Eddy J.; García, Marcelo H.

doi:10.1016/j.geomorph.2011.06.036

Cited by 127 publications

(137 citation statements)

References 46 publications

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“…The riverbank characteristics of soil properties, length of rainfall periods, matric suction, geometry, and vegetation cover play important roles in bank failure and erosion-risk assessment [1,[26][27][28][29]. Millar [30] showed that bank vegetation also exerts significant control over alluvial channel patterns.…”

Section: Introductionmentioning

confidence: 99%

Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning

et al. 2013

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Vegetation plays an important role in stabilizing the soil and decreasing fluvial erosion. In certain cases, vegetation increases the accumulation of fine sediments. Efficient and accurate methods are required for mapping and monitoring changes in the fluvial environment. Here, we develop an area-based approach for mapping and monitoring the vegetation structure along a river channel. First, a 2 × 2 m grid was placed over the study area. Metrics describing vegetation density and height were derived from mobile laser-scanning (MLS) data and used to predict the variables in the nearest-neighbor (NN) estimations. The training data were obtained from aerial images. The vegetation cover type was classified into the following four classes: bare ground, field layer, shrub layer, and canopy layer. Multi-temporal MLS data sets were applied to the change detection of riverine vegetation. This approach successfully classified vegetation cover with an overall classification accuracy of 72.6%; classification accuracies for bare ground, field layer, OPEN ACCESSRemote Sens. 2013, 5 5286 shrub layer, and canopy layer were 79.5%, 35.0%, 45.2% and 100.0%, respectively. Vegetation changes were detected primarily in outer river bends. These results proved that our approach was suitable for mapping riverine vegetation.

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Section: Introductionmentioning

confidence: 99%

Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning

et al. 2013

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“…The previous version of RVR Meander focused on modeling the planform migration of streams, and CONCEPTS focused on modeling sediment transport and bank erosion processes. The most current RVR Meander software was developed to be a toolbox for simulating long-term (engineering time scales) migration of meandering rivers on a reach-scale (Motta, 2013). The model has a stand-alone Windows-based interface and a geographic information system (GIS)-based interface through ArcGIS (Esri, 2010).…”

Section: Use Of the Rvr Meander Model Model Descriptionmentioning

confidence: 99%

“…The erosion-rate coefficient and the critical shear stress are site-specific and can vary along the reach (Motta, 2013). Bank erosion processes are evaluated at each time step based on algorithms that calculate a minimum factor of safety based on force balance equations that account for the shear strength of the soil.…”

Section: Use Of the Rvr Meander Model Model Descriptionmentioning

confidence: 99%

“…An old river centerline can be run through the model to check if the river actually migrates in such a way to replicate where an actual cutoff has occurred. However, this version of RVR Meander does not account for cutoffs, but in such a case, it is common to identify likely cutoff locations when two migrated centerlines are within a half channel width of each other (Motta, 2013). The Wabash River has old cutoffs near Grayville, Ill., and New Harmony, Ind.…”

Section: Model Calibrationmentioning

confidence: 99%

“…This is primarily due to the limited availability of such data. Güneralp and Rhoads (2011) and Motta (2013) showed that flood plain soil complexity is related to migratedcenterline variability and planform complexity. Although areas of bedrock control were not specifically defined, they were accounted for to a fair extent in the soil properties during the model calibration process.…”

Section: Model Sensitivity Analysis and Limitationsmentioning

confidence: 99%

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River meander modeling of the Wabash River near the Interstate 64 Bridge near Grayville, Illinois

Lant¹,

Boldt²

2018

Scientific Investigations Report

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For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment-visit https://www.usgs.gov or call 1-888-ASK-USGS.For an overview of USGS information products, including maps, imagery, and publications, visit https://store.usgs.gov.Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner. DatumVertical coordinate information is referenced to (1) stage, the height above an arbitrary datum established at a streamgage, and (2) AbstractNatural river channels continually evolve and change shape over time. As a result, channel evolution or migration can cause problems for bridge structures that are fixed in the flood plain. A once-stable bridge structure that was uninfluenced by a river's shape could be encroached upon by a migrating river channel. The potential effect of the actively meandering Wabash River on the Interstate 64 Bridge at the border with Indiana near Grayville, Illinois, was studied using a river migration model called RVR Meander. RVR Meander is a toolbox that can be used to model river channel meander migration with physically based bank erosion methods. This study assesses the Wabash River meandering processes through predictive modeling of natural meandering over the next 100 years, climate change effects through increased river flows, and bank protection measures near the Interstate 64 Bridge.

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On the analysis of the medium term planform dynamics of meandering rivers

Gutiérrez

Abad

2014

Water Resour. Res.

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The continuous wavelet transform is applied to the analysis of curvature signals from both synthetic meanders and 52 realizations from 16 natural meanders ranging from class B to class G (Brice classification), thus providing information on the spatial distribution of their arc-wavelength spectrum, and therefore, representing an objective characterization of meanders. Past research has studied the meander dynamics by using the centerline (short-term frame) and the valley centerline (long-term frame). The present study introduces a medium term frame, termed the mean center (MC), which is defined as the medium term coherent wave being present in the meander planimetry for a period that is strongly governed by the occurrence of cutoff events; although in the absence of them, it is present for $10 to $30 years. The MC is obtained by using a methodology that combines the capabilities of the principal component analysis and the discrete wavelet transforms. The application of wavelet cross correlation shows that peaks in the centerline curvature are strongly correlated with those of the MC suggesting that (1) a linear relationship between them may be associated to bank processes and, (2) in all other cases, a higher nonlinear relationship may be induced by autogenic hydrodynamic processes. In freely meandering rivers, compound bends, multiple loops, and cutoff events are associated to peaks in the MC local curvature. We define the planform amplitudes as the orthogonal distance of the centerline from mean center. Planform amplitudes (orthogonal distance of the centerline from mean center) are normally distributed and ranges from 2 to 20 river mean widths.

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A simplified 2D model for meander migration with physically-based bank evolution

Cited by 127 publications

References 46 publications

Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning

Area-Based Approach for Mapping and Monitoring Riverine Vegetation Using Mobile Laser Scanning

River meander modeling of the Wabash River near the Interstate 64 Bridge near Grayville, Illinois

On the analysis of the medium term planform dynamics of meandering rivers

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