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Christopher J. Keylock

Researcher at Loughborough University

Publications -  81
Citations -  2158

Christopher J. Keylock is an academic researcher from Loughborough University. The author has contributed to research in topics: Turbulence & Wavelet. The author has an hindex of 25, co-authored 80 publications receiving 1908 citations. Previous affiliations of Christopher J. Keylock include Imperial College London & University of Sheffield.

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Simpson diversity and the Shannon–Wiener index as special cases of a generalized entropy

TL;DR: A link is noted between a common family of diversity indices and non-additive statistical mechanics that makes the Shannon index and the Simpson diversity (or Gini coefficient) special cases of a more general index.
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Application of statistical and hydraulic-continuum dense-snow avalanche models to five real European sites

TL;DR: In this paper, the authors test the behavior of two statistical avalanche models and three hydraulic-continuum models of varying dimensionality against five reference events, and propose a scheme for avalanche hazard zoning that integrates the statistical and dynamic models, such that zoning can be undertaken with some confidence.
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The application of computational fluid dynamics to natural river channels: Eddy resolving versus mean flow approaches

TL;DR: In the last decade, as computing power has increased, there has been an explosion in the use of eddy-resolving numerical methods in the engineering, earth and environmental sciences as mentioned in this paper.
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The theoretical foundations and potential for large-eddy simulation (LES) in fluvial geomorphic and sedimentological research

TL;DR: Large-eddy simulation (LES) is a method for resolving the time-dependent structure of high Reynolds number, turbulent flows as discussed by the authors, and it is possible to model and track the behaviour of coherent turbulent structures and study their effect on the flow field.
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Avalanche risk mapping by simulation

TL;DR: In this paper, two simulation models are developed to calculate the probability of avalanches travelling a certain distance and of the flow being a specific width, in combination with knowledge of the average frequency of avalanche occurrence, the variability in avalanche direction and the degree of loss caused by an avalanche, permit risk values to be determined for the areas of concern.