Revealing the natural complexity of fluvial morphology through 2D hydrodynamic delineation of river landforms

Wyrick, J. R.; Senter, A. E.; Pasternack, G. B.

doi:10.1016/j.geomorph.2013.12.013

Cited by 53 publications

(64 citation statements)

References 49 publications

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“…Several studies have used rasterized 2D hydrodynamic model outputs to classify hydraulic habitat types such as riffles, pools, glides, and runs according to constant or adaptive ranges of hydraulic variables (Bowen et al, 2003;Legleiter and Goodchild, 2005;Moir and Pasternack, 2008;Wyrick et al, 2014). Classification of habitat based on local hydraulics is challenging.…”

Section: Hydraulic Habitat Analysismentioning

confidence: 99%

“…Legleiter and Goodchild (2005) proposed a classification based on fuzzy logic. Collectively, these studies have shown that there can be differences in the hydraulics of like habitats at different sites and that hydraulics alone cannot uniquely define habitat, but on the other hand, a reasonable approximation of habitat distributions can be estimated from calibrated models and have proven valuable for river management (e.g., Wyrick et al, 2014). A phase diagram allows hydraulic habitats to be systematically classified from 2D model data across an entire river segment and over a wide range of flow conditions, creating a space-time continuum of habitat types that would be otherwise impossible with field sampling alone .…”

Section: Hydraulic Habitat Analysismentioning

confidence: 99%

“…A 2 × 2 depth-velocity phase diagram characterized by deep pools (large depth, small velocity), shallow pools (small depth, small velocity), deep runs (large depth, large velocity) and shallow runs (small depth, large velocity) is used since it only requires two parameters, a depth break and a velocity break, which can easily be varied for sensitivity analysis. The 2 × 2 scheme is a similar to the eight-phase scheme presented by Wyrick et al (2014) in its use of velocity and depth breaks, although here the break values are selected from the frequency distribution of depth and velocity values in the system as will be shown in the results section. Because this is a demonstration, the habitat results should not be interpreted in an absolute sense, but the sensitivity of hydraulic habitat predictions to model parameters (grid, resistance, etc.…”

Section: Hydraulic Habitat Analysismentioning

confidence: 99%

“…These breaks are similar to values used in previous studies. For example, Wyrick et al (2014) used a velocity break of 0.3 and 0.6 m to constrain pools at two different sites in California. Jowett (1993) found a velocity of 0.56 m/s constrained runs, and Wyrick et al…”

Section: Hydraulic Geometrymentioning

confidence: 99%

“…However, a number of researchers have found that a metric resolution is needed to reasonably approximate hydraulic habitat, i.e., local depth and velocity, which is relevant to river ecology and morphology (Crowder and Diplas, 2000;Cook and Merwade, 2009;Clifford et al, 2010;Williams et al, 2013;Abu-Aly et al, 2014). Furthermore, with the aid of analytical models for the vertical velocity distribution including a characterization of bed roughness, metric-resolution 2D models can reconstruct a 3D characterization of flow for a wide range of applications at far less computational expense than 3D models based on the Navier-Stokes equations (Begnudelli et al, 2010;Abu-Aly et al, 2014;Wyrick et al, 2014), although there are many examples of 3D flow phenomena that demand 3D models for an accurate description such as horseshoe vortices around bridge piers and similarly complex turbulent velocity fluctuations occurring around boulders, large bed forms, and other types of flow obstructions (Wu, 2007;Javernick et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Metric-Resolution 2D River Modeling at the Macroscale: Computational Methods and Applications in a Braided River

2015

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Metric resolution digital terrain models (DTMs) of rivers now make it possible for multi-dimensional fluid mechanics models to be applied to characterize flow at fine scales that are relevant to studies of river hydraulic geometry (HG) and ecological habitat, or microscales. These developments are important for managing rivers because of the potential to better understand system dynamics, anthropogenic impacts, and the consequences of proposed interventions. However, the data volumes and computational demands of microscale river modeling have largely constrained applications to small multiples of the channel width, or the mesoscale. This report presents computational methods to extend a microscale river model beyond the mesoscale to the macroscale, defined as large multiples of the channel width. A method of automated unstructured grid generation is presented that automatically clusters fine resolution cells in areas of curvature (e.g., channel banks), and places relatively coarse cells in areas lacking topographic variability. This overcomes the need to manually generate breaklines to constrain the grid, which is painstaking at the mesoscale and virtually impossible at the macroscale. The method is applied to a braided river (BR) and shown to yield an efficient fine resolution model. The sensitivity of model output to grid design and resistance parameters is also examined based on analysis of hydrology, HG, and river hydraulic habitats and the findings reiterate the importance of model calibration and validation.

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Section: Hydraulic Habitat Analysismentioning

confidence: 99%

Section: Hydraulic Habitat Analysismentioning

confidence: 99%

Section: Hydraulic Habitat Analysismentioning

confidence: 99%

Section: Hydraulic Geometrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Metric-Resolution 2D River Modeling at the Macroscale: Computational Methods and Applications in a Braided River

2015

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Enhancing an unsupervised clustering algorithm with a spatial contiguity constraint for river habitat analysis

et al. 2021

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The spread of two‐dimensional numerical hydrodynamic tools for ecohydraulic applications allowed for the development of automatic habitat detection methods, adopted as predicting tools for river habitat analysis. These automatic approaches differ for the employed identification rules, such as preference curves, fuzzy rules and clustering methods. Previous research has shown promising results in the automatic identification of mesoscale habitat patches by using clustering algorithms together with numerical hydrodynamic model results. These algorithms attempt to implement and simulate some of the expert‐based requirements adopted in the field to delineate habitat patches. Spatial contiguity is one of such expert‐based requirements that has not been enforced and exploited in automatic mesohabitat identification so far. In this work, we propose a novel tool (BASEmeso) based on an agglomerative hierarchical clustering algorithm where we enforced a spatial contiguity criteria. We compare our approach with a more established method without spatial constraints, considering a synthetic river reach where the composition of mesohabitat patches is known a priori, and on three experimental river reaches, to investigate the effects of different river morphologies. Our results show that when employing a contiguity constraint, a patch's extent is better captured, different patches can be distinguished better and the distribution of patch characteristics is smoother. This holds for all investigated morphologies. Together, it suggests that including a spatial contiguity constraint can improve the automatic delineation of river mesohabitat patches. The proposed methodology could positively contribute in the development of automatic, objective and predictive meso‐scale habitat assessment workflows.

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A novel unsupervised method for assessing mesoscale river habitat structure and suitability from 2D hydraulic models in gravel‐bed rivers

et al. 2022

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Application of mesoscale habitat models in gravel-bed rivers is increasingly common for a variety of purposes, from ecological flow design, impact assessment and conservation programmes. Integration with 2D hydraulic modelling offers the potential for broader applicability of mesoscale habitat models, extending applications to larger streams and nonwadable flow conditions, when on-the-ground and in-stream surveys are challenging or even prohibitive. In this work, a novel fully unsupervised procedure that allows the segmentation of the river channel area at a given flow condition at a scale that is consistent with the mesoscale is presented.

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Revealing the natural complexity of fluvial morphology through 2D hydrodynamic delineation of river landforms

Cited by 53 publications

References 49 publications

Metric-Resolution 2D River Modeling at the Macroscale: Computational Methods and Applications in a Braided River

Metric-Resolution 2D River Modeling at the Macroscale: Computational Methods and Applications in a Braided River

Enhancing an unsupervised clustering algorithm with a spatial contiguity constraint for river habitat analysis

A novel unsupervised method for assessing mesoscale river habitat structure and suitability from 2D hydraulic models in gravel‐bed rivers

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