59
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

A study of the connection between exit-time statistics and relative dispersion using a simple Lagrangian stochastic model

Article: N13 | Published online: 30 Oct 2009
 

Abstract

We use a simple stochastic model of relative dispersion to explore the effect of departures from diffusive behaviour on the connection between exit-time statistics and the Richardson constant g for relative dispersion. We present our results as a function of the Lagrangian velocity structure function constant C 0, which is a persistence parameter representing the strength of memory effects. For C 0 → ∞, the model reduces to a diffusive process, for which we have analytical relationships between g and the exit-time statistics, while according to the best estimates from direct numerical simulation C 0∼ 6–7 in three-dimensional turbulence. We calculate the Richardson constant g and the corresponding constants appearing in the inertial sub-range forms for moments of the exit time and of the inverse exit time, for both forward and backward relative dispersion. For C 0 ∼ 6–7, and using model values for the first and third moments of the exit time, we find that the value for g estimated, assuming the diffusive relationships hold, is within about 20% of the ‘true’ value for forward relative dispersion but can be in error by up to a factor of 5 for backward dispersion. The errors are much larger if the corresponding moments of the inverse exit time are used.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 146.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.