| 摘要: |
| 简述了江河防洪的重要性和洪水预报在江河防洪决策中的作用，建立了渭河下游干流临潼断面和华县断面洪峰流量预报的人工神经网络（ANN）模型。模型评定和检验表明，ANN模型的预报效果比传统的统计相关模型有明显的改善，而且有利于模型评定与检验精度间的合理协调，以及洪水预报与防洪决策的智能化管理。 |
| 关键词: 洪水预报 人工神经网络模型 渭河下游 |
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| Study on ANN models for flood forecasting in lower reach of the Wei River |
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| Abstract: |
| In this paper,the importance and the role of flood forecasting in decision-making of river flood control are briefly described.ANN models for peek discharge forecasting of the floods at Lintong and Huaxian sections in lower reach of the Wei River are developed.It is shown through calibration and verification of the models that the precision of the ANN models is obviously higher than that of traditional statistical models.The ANN models are convenient for rational balance of the precision of calibration and verification of the model and appropriate for intelligent management of flood forecasting and flood control decision-making. |
| Key words: flood forecasting artificial neural networks (ANN) lower reach of the Wei River |
