作者:Yu-Fei Wang, Wen-Xin Huai, Wei-Jie Wang

JOURNAL OF HYDROLOGY

卷: 544  页: 511-523

DOI: 10.1016/j.jhydrol.2016.11.058

出版年: JAN 2017

摘要

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 prespecified
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 utilising a
GP. Its form is consistent with the canonical form.