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The study on runoff series prediction in Middle Yellow River

机译:黄河中游径流序列预报研究。

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Taking into account the severe impact of human activities, complex utilization requires and sensitive and fragile eco-environment, the Middle Yellow River is selected for runoff prediction object. Based on analysis of runoff characteristics and influencing factors, Threshold Auto-Regressive Model, improved Weng Model and Mixture Regression Model are established for the runoff series prediction of control station on the middle Yellow River, Xiaolangdi station. Through the evaluation of the prediction effect of models, Mixture Regression model's superiority and rationality are proved. Finally, research trends and implication prospects of annual runoff prediction are reviewed.
机译:考虑到人类活动的严重影响,复杂的利用需求以及敏感而脆弱的生态环境,选择黄河中游作为径流预报的对象。在分析径流特征和影响因素的基础上,建立了黄河中游小浪底站控制站径流序列预测的阈值自回归模型,改进的翁模型和混合回归模型。通过对模型预测效果的评价,​​证明了混合回归模型的优越性和合理性。最后,综述了年度径流预测的研究趋势和意义。

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