WIAS Preprint No. 705, (2001)

Numerical study of the statistical characteristics of the mixing processes in rivers



Authors

  • Engelhardt, Christian
  • Kurbanmuradov, Orazgeldy
  • Sabelfeld, Karl K.
  • Sukhodolov, Alexander

2010 Mathematics Subject Classification

  • 65C05 76N20

Keywords

  • Langevin type stochastic models, Random Displacement Models, Mixing process, ejection and sweep statistics

DOI

10.20347/WIAS.PREPRINT.705

Abstract

A detailed analysis of statistical characteristics of the vertical mixing process in a horizontally homogeneous and stationary river flow is given. Stochastic models of Langevin type and random displacement models are developed to calculate the statistical characteristics of the vertical mixing. For validation, Langevin type models and random displacement models conventionally applied in this field are compared. All the methods show a good qualitative agreement. However the random diplacement model with constant coefficients is shown to perform with considerable deviations.

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