| 荆江三口分流BP网络预报模型研究 |
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| 引用本文： | 张小峰,胡旭跃,谢作涛.荆江三口分流BP网络预报模型研究[J].人民长江,2003,34(7):33-34. |
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| 作者姓名： | 张小峰 胡旭跃 谢作涛 |
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| 作者单位： | 1. 武汉大学,水利水电学院,湖北,武汉,430072
2. 长沙交通学院,河海工程系,湖南,长沙,410007 |
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| 基金项目： | 国家自然科学基金资助项目(50279035);教育部科学技术研究重点项目(02134);武汉大学科技创新基金项目 |
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| 摘 要： | 荆江三口是江湖关系调整的重要纽带.以长江干流上游来水、洞庭湖区水位以及下游顶托等影响因子为模型输入向量,运用BP网络建立了荆江三口分流流量预报模型,该模型具有1 d的预见期.预报结果表明,模型基本合理可靠.模型不仅可为荆江河段洪水演进计算提供边界条件,而且也为分析三口分流变化规律以及江湖关系等研究提供可靠依据.
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| 关 键 词： | BP人工神经网络 模型研究 洪水演进 三口分流 荆江 |
| 文章编号： | 1001-4179(2003)07-0033-02 |
Research on BP network prediction model for diversion flow of 3 diversion outlets of Jingjiang river |
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| ZHANG Xiao,feng,HU Xu,yue,XIE Zuo,tao.Research on BP network prediction model for diversion flow of 3 diversion outlets of Jingjiang river[J].Yangtze River,2003,34(7):33-34. |
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| Authors: | ZHANG Xiao feng HU Xu yue XIE Zuo tao |
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| Abstract: | The 3 outlets of Jingjiang river into the Dongting lake are the key factor for the regulation of relationship between the Yangtze river and the Dongting lake. Taking the upstream flow, water level of the Dongting lake and downstream backwater influence as input vectors, the diversion discharge prediction model is set up by BP network and the model has 1 d prediction period. The prediction results demonstrate that the model is reasonable and reliable basically. The model is able not only to supply boundary condition for flood routing computation of the Jingjiang river reach, but also to supply reliable foundation for the analysis of the diversion variation law of 3 diversion outlets and the river-lake relation etc. |
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| Keywords: | BP artificial neural network model study flood routing 3 outlets diversion Jingjiang river |
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