| 引用本文: | 李楠,张振华,宋扬,等.黄河含沙量过程预报方法研究[J].灌溉排水学报,,():-. |
| Li Nan,Zhang Zhenhua,Song Yang,et al.黄河含沙量过程预报方法研究[J].灌溉排水学报,,():-. |
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| 摘要: |
| 【目的】黄河的生态保护和高质量发展离不开含沙量预报的研究，因受众多因素影响，其复杂性导致含沙量过程难以预报。【方法】本文对现有的含沙量预报方法分析发现，系统响应函数模型预报精度高易于运行，水沙动力学模型水沙运动机理清晰可见。【结果】通过结合水文学和水力学方法，在不同水沙运动机理条件下构建基于不平衡输沙原理、马斯京根演算、多来多排理论的三种系统响应函数模型。【结论】在黄河潼关站应用表明，系统响应函数模型物理运动机制反映越到位预报精度也越高，基于不平衡输沙原理系统响应函数模型可以较好的描绘汇流区的水沙输移特征，预报效果优于另外二种模型，可以应用潼关站实际预报工作。 |
| 关键词: 含沙量预报方法；响应函数模型；不平衡输沙原理 |
| DOI： |
| 分类号:TV142 |
| 基金项目:“十一五”国家科技支撑项目《黄河健康修复关键技术研究》(编号:2006BAB06B05—2) |
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| Study on Prediction Method of Sediment Content Process in Yellow River |
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Li Nan, Zhang Zhenhua, Song Yang, Lv Shuying, Bian Xiaonan
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Dezhou Municipal Water Resources Bureau
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| Abstract: |
| 【Objective】The ecological protection and high-quality development of the Yellow River are inseparable from the study of sediment concentration prediction. Due to the influence of many factors, its complexity makes the sediment concentration process difficult to predict.【Method】By analyzing the existing sediment concentration forecasting methods, it is found that the system response function model has high forecasting accuracy and is easy to operate, and the water and sediment movement mechanism of the water and sediment dynamic model is clearly visible.【Result】By combining hydrology and hydraulics methods, three system response function models based on unbalanced sediment transport principle, Muskingum calculus and many-to-many row theory were constructed under different water and sediment movement mechanism conditions.【Conclusion】The application of the system response function model in Tongguan Station of the Yellow River shows that the more the physical motion mechanism of the system response function model is reflected, the higher the prediction accuracy is. The system response function model based on the principle of unbalanced sediment transport can better describe the characteristics of water and sediment transport in the confluence area, and the prediction effect is better than the other two models, which can be applied to the actual prediction work of Tongguan Station. |
| Key words: Sediment concentration prediction method ; response function model ; principle of unbalanced sand transport |
