| Cite this article: | 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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| 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 |
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