Simulating river meandering processes using stochastic bank erosion coefficient

Ari J. Posner, Jennifer G. Duan

Research output: Contribution to journalArticlepeer-review

32 Scopus citations


This study first compares the first order analytical solutions for flow field by Ikeda et. al. (1981) and Johanesson and Parker (1989b). Ikeda et. al.'s (1981) linear model of bank erosion was implemented to predict the rate of bank erosion in which the bank erosion coefficient is treated as a stochastic variable that varies with physical properties of the bank (e.g. cohesiveness, stratigraphy, vegetation density). The developed model was used to predict the evolution of meandering planforms. Then, the modeling results were analyzed and compared to the observed data. Because the migration of meandering channels consists of downstream translation, lateral expansion, and downstream or upstream rotations, several measures are formulated to determine which of the resulting planform is closest to the experimental measured one. Results from the deterministic model highly depend on the calibrated erosion coefficient. Because field measurements are always limited, the stochastic model yielded more realistic predictions of meandering planform evolutions. Because the coefficient of bank erosion is a random variable, the meandering planform evolution is a stochastic process that can only be accurately predicted by a stochastic model.

Original languageEnglish (US)
Pages (from-to)26-36
Number of pages11
StatePublished - Aug 15 2012


  • Bank erosion
  • Meander
  • Monte Carlo
  • Stochastic

ASJC Scopus subject areas

  • Earth-Surface Processes


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