Prediction of longitudinal dispersion coefficients in natural rivers using genetic algorithm

Rajeev Ranjan Sahay; Som Dutta

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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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A new expression for the prediction of longitudinal dispersion coefficient in natural rivers, using genetic algorithms, is proposed. The expression uses hydraulic and geometric characteristics of rivers, which are readily available. For performance evaluation, using published field data, results of coefficient prediction by the new expression and by the other reported expressions are compared. According to various performance indices, it is concluded that the new formula predicts the longitudinal dispersion coefficient more accurately. Sensitive analysis performed on input parameters indicates the ratio of the cross-sectional mean velocity to the bottom shear velocity to be 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天然河流纵向弥散系数的新表达式。该表述使用了容易获得的河流的水力和几何特征。为了进行性能评估，使用已发布的现场数据，比较了新表达式和其他报告表达式的系数预测结果。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分析表明，横截面平均速度与底部剪切速度之比是影响最大的参数，可准确预测纵向色散系数。

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来源
《Hydrology research》 |2009年第6期|544-552|共9页
作者
Rajeev Ranjan Sahay; Som Dutta;
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作者单位

Department of Civil Engineering,Birla Institute of Technology,Mesra, Ranchi 835215,India;

Department of Civil Engineering,Birla Institute of Technology,Mesra, Ranchi 835215,India;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
coefficients; dispersion; genetic algorithms; pollutant flow; river flow; streams;

机译：系数;分散;遗传算法;污染物流量;河流流量流;

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专利

1. Prediction of longitudinal dispersion coefficients in natural rivers using genetic algorithm [J] . Sahay Rajeev Ranjan - Dutta Som Hydrology Research . 2009,第6期

机译：基于遗传算法的天然河流纵向弥散系数预测
2. Prediction of longitudinal dispersion coefficients in natural rivers using artificial neural network [J] . Rajeev Ranjan Sahay Environmental Fluid Mechanics . 2011,第3期

机译：基于人工神经网络的天然河流纵向弥散系数预测
3. Prediction of longitudinal dispersion coefficients in natural rivers using artificial neural network [J] . Sahay R.R. Environmental fluid mechanics . 2011,第3期

机译：基于人工神经网络的天然河流纵向弥散系数预测
4. Genetic algorithm for determination of longitudinal dispersion coefficient in river [C] . Liu Xiaodong, Xue Hongqin, Xie Zengfang, 2010 Sixth International Conference on Natural Computation . 2010

机译：确定河流纵向弥散系数的遗传算法
5. Estimating Longitudinal Dispersion Coefficients in Natural Channels [D] . Song, Yuqi. 2017

机译：估计天然频道中的纵向分散系数
6. Assessment of Genetic and Nongenetic Interactions for the Prediction of Depressive Symptomatology: An Analysis of the Wisconsin Longitudinal Study Using Machine Learning Algorithms [O] . Nicholas S. Roetker, C. David Page, James A. Yonker, 2013

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7. Granular computing–neural network model for prediction of longitudinal dispersion coefficients in rivers [O] . Behzad Ghiasi, Hossein Sheikhian, Amin Zeynolabedin, 2019

机译：河流中纵向分散系数预测的粒状计算 - 神经网络模型
8. Prediction of Aerodynamic Coefficients for Wind Tunnel Data using a Genetic Algorithm Optimized Neural Network [R] . Rajkumar, T. , Arragon, C. , Bardina, J. , 2003

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Prediction of longitudinal dispersion coefficients in natural rivers using genetic algorithm

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