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Prediction of longitudinal dispersion coefficients in natural rivers using genetic algorithm

机译:基于遗传算法的天然河流纵向弥散系数预测

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摘要

A new expression for the prediction of longitudinal dispersion coefficient in natural rivers, usingngenetic algorithms, is proposed. The expression uses hydraulic and geometric characteristicsnof rivers, which are readily available. For performance evaluation, using published field data,nresults of coefficient prediction by the new expression and by the other reported expressions arencompared. According to various performance indices, it is concluded that the new formula predictsnthe longitudinal dispersion coefficient more accurately. Sensitive analysis performed on inputnparameters indicates the ratio of the cross-sectional mean velocity to the bottom shear velocity tonbe the most influencing parameter for accurate prediction of the longitudinal dispersion coefficient.
机译:提出了一种利用遗传算法预测自然河流纵向弥散系数的新表达式。该表述使用河流的水力和几何特性,这些特性很容易获得。为了进行性能评估,使用已发布的字段数据,将新表达式和其他报告的表达式进行系数预测的结果进行比较。根据各种性能指标,可以得出结论,新公式可以更准确地预测纵向色散系数。对输入参数进行的敏感性分析表明,横截面平均速度与底部剪切速度之比tonbe是影响纵向弥散系数准确预测的最重要参数。

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