Reconceptualising coarse sediment delivery problems in rivers as catchment-scale and diffuse

Lane, Stuart N.; Reid, Simon C.; Tayefi, V.; Yu, Dapeng; Hardy, Richard J.

doi:10.1016/j.geomorph.2006.12.028

Cited by 63 publications

(73 citation statements)

References 54 publications

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“…While in many cases the contribution to the channel-forming bed material load made by non-channel sediment sources might be judged to be minor, in some environments a significant proportion of the load imposed upon the channel is derived from the drainage basin itself [190]. Such a case may be found where floodplains composed of erodible soils have been considerably modified by arable agriculture or where a stream is closely coupled to steep hill slopes with significant injections of colluvial material.…”

Section: Discussionmentioning

confidence: 99%

Quantifying River Channel Stability at the Basin Scale

Soar

Wallerstein

Thorne

2017

Water

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This paper examines the feasibility of a basin-scale scheme for characterising and quantifying river reaches in terms of their geomorphological stability status and potential for morphological adjustment based on auditing stream energy. A River Energy Audit Scheme (REAS) is explored, which involves integrating stream power with flow duration to investigate the downstream distribution of Annual Geomorphic Energy (AGE). This measure represents the average annual energy available with which to perform geomorphological work in reshaping the channel boundary. Changes in AGE between successive reaches might indicate whether adjustments are likely to be led by erosion or deposition at the channel perimeter. A case study of the River Kent in Cumbria, UK, demonstrates that basin-wide application is achievable without excessive field work and data processing. However, in addressing the basin scale, the research found that this is inevitably at the cost of a number of assumptions and limitations, which are discussed herein. Technological advances in remotely sensed data capture, developments in image processing and emerging GIS tools provide the near-term prospect of fully quantifying river channel stability at the basin scale, although as yet not fully realized. Potential applications of this type of approach include system-wide assessment of river channel stability and sensitivity to land-use or climate change, and informing strategic planning for river channel and flood risk management.

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Section: Discussionmentioning

confidence: 99%

Quantifying River Channel Stability at the Basin Scale

Soar

Wallerstein

Thorne

2017

Water

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“…It has a similar structure to that of JFLOW (Bradbrook et al, 2004). The model is the basis of the sub-grid treatment approach developed by Yu and Lane (2006b) and has been tested and verified with a range of boundary conditions and in a number of environments (Yu, 2005;Tayefi et al, 2007;Lane et al, 2008). Yu and Lane (2006a) have reviewed the basis of the model, and so only the major model structure is outlined here.…”

Section: Hydraulic Modellingmentioning

confidence: 99%

A method for parameterising roughness and topographic sub-grid scale effects in hydraulic modelling from LiDAR data

Casas

Lane

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. High resolution airborne laser data provide new ways to explore the role of topographic complexity in hydraulic modelling parameterisation, taking into account the scale-dependency between roughness and topography. In this paper, a complex topography from LiDAR is processed using a spatially and temporally distributed method at a fine resolution. The surface topographic parameterisation considers the sub-grid LiDAR data points above and below a reference DEM, hereafter named as topographic content. A method for roughness parameterisation is developed based on the topographic content included in the topographic DEM. Five subscale parameterisation schemes are generated (topographic contents at 0, ± 5, ± 10, ± 25 and ± 50 cm) and roughness values are calculated using an equation based on the mixing layer theory (Katul et al., 2002), resulting in a co-varied relationship between roughness height and topographic content. Variations in simulated flow across spatial subscales show that the sub grid-scale behaviour of the 2-D model is not well-reflected in the topographic content of the DEM and that subscale parameterisation must be modelled through a spatially distributed roughness parameterisation. Variations in flow predictions are related to variations in the roughness parameter. Flow depth-derived results do not change systematically with variation in roughness height or topographic content but they respond to their interaction. Finally, subscale parameterisation modifies primarily the spatial structure (level of organisation) of simulated 2-D flow linearly with the additional complexity of subscale parameterisation.

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“…It has a similar structure to that of LISFLOOD-FP (Bates and De Roo, 2000) and JFLOW (Bradbrook et al, 2004), but coded in Java. The model is the basis of the sub-grid treatment approach developed by Yu and Lane (2006b) and has been tested and verified with a range of boundary conditions and in a number of environments (Yu, 2005;Tayefi et al, 2007;Lane et al, 2007;Lane et al, 2008). Yu and Lane (2006a) have reviewed the basis of the model that is modified here for parallelization, and so only the major model structure is outlined here.…”

Section: Model Description and Parallel Implementationmentioning

confidence: 99%

Parallelization of a two-dimensional flood inundation model based on domain decomposition

2010

Environmental Modelling & Software

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• This is the author's version of a work that was accepted for publication in the journal, Environmental Modelling & Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. AbstractFlood modelling often involves prediction of the inundated extent over large spatial and temporal scales. As the dimensionality of the system and the complexity of the problems increase, the need to obtain quick solutions becomes a priority. However, for large-scale problems or situations where fine resolution data is required, it is often not possible or practical to run the model on a single computer in a reasonable timeframe. This paper presents the development and testing of a imbalance between sub-domains is a major bottleneck in utilizing this approach with higher domain granularity.

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Reconceptualising coarse sediment delivery problems in rivers as catchment-scale and diffuse

Cited by 63 publications

References 54 publications

Quantifying River Channel Stability at the Basin Scale

Quantifying River Channel Stability at the Basin Scale

A method for parameterising roughness and topographic sub-grid scale effects in hydraulic modelling from LiDAR data

Parallelization of a two-dimensional flood inundation model based on domain decomposition

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