| 基于支持向量机的洞庭湖区域水沙模拟 |
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| 引用本文： | 李正最,谢悦波.基于支持向量机的洞庭湖区域水沙模拟[J].水文,2010,30(2). |
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| 作者姓名： | 李正最 谢悦波 |
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| 作者单位： | 1. 河海大学水文水资源学院,江苏,南京,210098;湖南省水文水资源勘测局,湖南,长沙,410007
2. 河海大学水文水资源学院,江苏,南京,210098 |
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| 摘 要： | 在对复杂的荆江一洞庭湖河网水系概化和洞庭湖区水沙特性分析的基础上,建立洞庭湖区水沙支持向量机模型,通过对1956～2008年城陵矾出湖系列输沙量模拟和检验,实测值与拟合值吻合良好,且精度明显高于人工神经网络和线性回归等方法.
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| 关 键 词： | 支持向量机 径流 泥沙 模拟 洞庭湖 |
Simulation of Water and Sediment in Dongting Lake Based on Support Vector Machine |
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| LI Zheng-zui,XIE Yue-bo.Simulation of Water and Sediment in Dongting Lake Based on Support Vector Machine[J].Hydrology,2010,30(2). |
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| Authors: | LI Zheng-zui XIE Yue-bo |
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| Institution: | LI Zheng-zui1,2,XIE Yue-bo1(1.College of Hydrology & Water Resources,Hohai University,Nanjing 210098,China,2.Hydrology & Water Resources Bureau of Hunan Province,Changsha 410007,China) |
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| Abstract: | On the basis of drainage network generalization and water-sediment characteristics analysis,a support vector machine model for simulating the flow-sediment transportation of Jingjiang River-Dongting Lake network was established.The simulated results show that the measured values are in good agreement with the fitted values,and fitting accuracy is significantly higher than that of artificial neural networks and linear regression methods. |
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| Keywords: | support vector machine runoff sediment simulation Dongting Lake |
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