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Suspended Sediment Concentration and Discharge in Open Channels Using Renyi Entropy

机译:利用仁义熵的明渠悬浮泥沙浓度和流量

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摘要

The vertical distribution of suspended sediment concentration in an open channel is modeled using Renyi entropy. The model, derived by invoking the principle of maximum entropy, is tested against field and laboratory observations by taking into account nonzero sediment concentration at the surface, and is also compared with other entropy-based and deterministic sediment concentration models. The proposed model is found to be in good agreement with observed data, and its prediction accuracy is superior to that of the other models. It is expressed in terms of a dimensionless entropy parameter that is constant along any vertical in a given river cross section. Errors, namely relative bias (RBIAS) and root-mean-square error (RMSE), are calculated for each of the data sets to validate the model and establish its superiority. It is observed that the RMSE of the present model varies from 0.045 to 4.197g/L, and from 16.438 to 74.470g/L, for experimental and field data, respectively, which lie within reasonable limits. In addition, the suspended sediment discharge per unit width is calculated using the Renyi entropy-based models of velocity and sediment concentration. The computed and observed values of sediment discharge are calculated from experimental observations, and it is found that the model can estimate observed values well.
机译:明渠中悬浮泥沙浓度的垂直分布是用人一熵建模的。该模型是通过引用最大熵原理得出的,并通过考虑地面非零沉积物浓度对野外和实验室观察进行了测试,并且还与其他基于熵和确定性的沉积物浓度模型进行了比较。发现该模型与实测数据吻合良好,其预测精度优于其他模型。它用无量纲的熵参数表示,该参数在给定的河流横截面中沿任何垂直方向都是恒定的。为每个数据集计算误差,即相对偏差(RBIAS)和均方根误差(RMSE),以验证模型并建立其优越性。可以观察到,对于实验数据和现场数据,本模型的RMSE分别为0.045至4.197g / L和16.438至74.470g / L,均处于合理范围内。此外,使用基于Renyi熵的速度和沉积物浓度模型计算每单位宽度的悬浮沉积物排放量。根据实验观测值计算出泥沙流量的计算值和观测值,发现该模型可以很好地估算观测值。

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