Physically sound formula for longitudinal dispersion coefficients of natural rivers

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@Article{Wang:2017:JH,

• 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 = "http://www.sciencedirect.com/science/article/pii/S0022169416307740",
• 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 form.",

}

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

Citations