Probability distributions of bed load particle velocities, accelerations, hop distances, and travel times informed by Jaynes's principle of maximum entropy

David Jon Furbish, Mark Schmeeckle, Rina Schumer, Siobhan L. Fathel

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

We describe the most likely forms of the probability distributions of bed load particle velocities, accelerations, hop distances, and travel times, in a manner that formally appeals to inferential statistics while honoring mechanical and kinematic constraints imposed by equilibrium transport conditions. The analysis is based on E. Jaynes's elaboration of the implications of the similarity between the Gibbs entropy in statistical mechanics and the Shannon entropy in information theory. By maximizing the information entropy of a distribution subject to known constraints on its moments, our choice of the form of the distribution is unbiased. The analysis suggests that particle velocities and travel times are exponentially distributed and that particle accelerations follow a Laplace distribution with zero mean. Particle hop distances, viewed alone, ought to be distributed exponentially. However, the covariance between hop distances and travel times precludes this result. Instead, the covariance structure suggests that hop distances follow a Weibull distribution. These distributions are consistent with high-resolution measurements obtained from high-speed imaging of bed load particle motions. The analysis brings us closer to choosing distributions based on our mechanical insight.

Original languageEnglish (US)
Pages (from-to)1373-1390
Number of pages18
JournalJournal of Geophysical Research: Solid Earth
Volume121
Issue number7
DOIs
StatePublished - Jul 1 2016
Externally publishedYes

Fingerprint

hops
probability distribution
Travel time
bedload
entropy
travel
Probability distributions
travel time
beds
Entropy
Statistical mechanics
Weibull distribution
Information theory
Kinematics
Statistics
Imaging techniques
kinematics
mechanics
particle motion
information theory

Keywords

  • bed load sediment
  • maximum entropy
  • probability distribution

ASJC Scopus subject areas

  • Geophysics
  • Forestry
  • Oceanography
  • Aquatic Science
  • Ecology
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Palaeontology

Cite this

Probability distributions of bed load particle velocities, accelerations, hop distances, and travel times informed by Jaynes's principle of maximum entropy. / Furbish, David Jon; Schmeeckle, Mark; Schumer, Rina; Fathel, Siobhan L.

In: Journal of Geophysical Research: Solid Earth, Vol. 121, No. 7, 01.07.2016, p. 1373-1390.

Research output: Contribution to journalArticle

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