Physically sound formula for longitudinal dispersion coefficients of natural rivers

Created by W.Langdon from gp-bibliography.bib Revision:1.4448

  author =       "Yu-Fei Wang and Wen-Xin Huai and Wei-Jie Wang",
  title =        "Physically sound formula for longitudinal dispersion
                 coefficients of natural rivers",
  journal =      "Journal of Hydrology",
  volume =       "544",
  pages =        "511--523",
  year =         "2017",
  keywords =     "genetic algorithms, genetic programming, Canonical
                 form, Contaminant transport, Longitudinal dispersion
                 coefficients, Natural rivers",
  ISSN =         "0022-1694",
  DOI =          "doi:10.1016/j.jhydrol.2016.11.058",
  URL =          "",
  abstract =     "The longitudinal dispersion coefficient (k) is
                 necessary for a plethora of mass transport applications
                 in fluids, but a general formulation for k remains
                 lacking. In this study, we propose a canonical form for
                 k that reflects the physics of dispersion and suits
                 complex flow conditions encountered in natural streams.
                 This general form is much more concise than previous
                 predictors. A predictor for k of natural streams is
                 also obtained using a genetic programming(GP) without
                 pre-specified correlations among field data or a
                 pre-specified form of the predictor. This predictor is
                 physically sound (i.e. exhibits the aforementioned
                 canonical form) and appears to be commensurate to or
                 better than previous estimates of k. A grey model,
                 which measures the proximity of data to a target shape
                 (i.e. the proposed physically sound form), is also used
                 to verify that the canonical form is appropriate. A
                 formulation for k in natural rivers is obtained by
                 using a GP. Its form is consistent with the canonical

Genetic Programming entries for Yu-Fei Wang Wen-Xin Huai Wei-Jie Wang