Environmental Applications of Computational Fluid Dynamics

Wright, Nigel; Hargreaves, David

doi:10.1002/9781118351475.ch6

Cited by 2 publications

(1 citation statement)

References 75 publications

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“…For example, Paola () distinguishes between reductionist modelling approaches, based upon classical continuum mechanics, and synthesist approaches founded upon highly simplified rules of a system's dynamics. Reductionist approaches are also dubbed “physics‐based” (Nicholas ), “process‐based” (Hardy ) or “computational fluid dynamics” (CFD; Wright and Hargreaves ) approaches. Synthesist approaches are also coined as “reduced‐complexity” (Brasington and Richards ), “cellular” or “exploratory” approaches.…”

Section: Taxonomymentioning

confidence: 99%

Numerical Modelling of Braided River Morphodynamics: Review and Future Challenges

Williams

Brasington

Hicks³

2016

Geography Compass

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Numerical morphological modelling of braided rivers is increasingly used to explore controls on river pattern and for applied environmental management. This article reviews and presents a taxonomy of braided river morphodynamic models and discusses the challenges facing model development and use, illustrating these challenges with a case example. The taxonomy is contextualised by an initial discussion of the physical mechanisms of braiding. The taxonomy differentiates between reach-scale and catchmentscale models. Reach-scale models are usually physics-based, which are further divided based upon the mathematical approach used to solve equations (analytical or numerical) and their dimensionality (1D, 2D or 3D). Cellular automata models are one type of numerical model that replace at least some physical processes with expedient rules. A 2D physics-based approach encapsulates sufficient process complexity to provide behavioural predictions. Predictions from catchment-scale landscape evolution models have potential for providing boundary conditions. Future progress in physics-based modelling needs to address three challenges: (i) representation of f low and sediment transport; (ii) temporal and spatial scaling; and (iii) model calibration, sensitivity, uncertainty and validation. The key problem for addressing these is the dearth of laboratory or natural experiment datasets. To show that progress can be made by comparing reach-scale predictions to high-resolution observations, a case study of monitoring and modelling, conducted in the Rees River, New Zealand, is presented. Hydraulic predictions of cellular automata and shallow water equation (Delft3d) models are compared to observed inundation extent. The efficacy of high-resolution, multi-temporal morphological data for assessing 2D physics-based morphodynamic model predictions is also demonstrated.

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Section: Taxonomymentioning

confidence: 99%

Numerical Modelling of Braided River Morphodynamics: Review and Future Challenges

Williams

Brasington

Hicks³

2016

Geography Compass

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How dynamic is the Brahmaputra? Understanding the process–form–vegetation interactions for hierarchies of energy dissipation

et al. 2022

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The spatio‐temporal heterogeneity in process–form–vegetation interactions has enabled the Brahmaputra river system to dissipate the fluvial energy at hierarchical scales. The present review article synthesizes the knowledge on braided rivers and an extensive review of the bio‐morphological processes in the Brahmaputra River. In addition, field investigated datasets along with geo‐spatial imageries and Google Earth Engine computed fluvial information are integrated to conceptualize and understand the complex underlying processes in the river. The review can be further used to propose rejuvenation frameworks and research directions concerning the implication of hierarchical energy dissipation potential in the Brahmaputra River.

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Environmental Applications of Computational Fluid Dynamics

Cited by 2 publications

References 75 publications

Numerical Modelling of Braided River Morphodynamics: Review and Future Challenges

Numerical Modelling of Braided River Morphodynamics: Review and Future Challenges

How dynamic is the Brahmaputra? Understanding the process–form–vegetation interactions for hierarchies of energy dissipation

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