Physically sound formula for longitudinal dispersion coefficients of natural rivers
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- @Article{Wang:2017:JH,
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author = "Yu-Fei Wang and Wen-Xin Huai and Wei-Jie Wang",
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title = "Physically sound formula for longitudinal dispersion
coefficients of natural rivers",
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journal = "Journal of Hydrology",
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volume = "544",
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pages = "511--523",
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year = "2017",
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keywords = "genetic algorithms, genetic programming, Canonical
form, Contaminant transport, Longitudinal dispersion
coefficients, Natural rivers",
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ISSN = "0022-1694",
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DOI = "doi:10.1016/j.jhydrol.2016.11.058",
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URL = "http://www.sciencedirect.com/science/article/pii/S0022169416307740",
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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