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河道洪水实时预报的半自适应模型研究
引用本文:李致家,孔祥光.河道洪水实时预报的半自适应模型研究[J].水科学进展,1998,9(4):367-372.
作者姓名:李致家  孔祥光
作者单位:1.河海大学水文水资源系 南京210098;
摘    要:提出和讨论了基于马斯京根流量演算河道洪水实时预报的半自适应滤波模型.在该模型中量测误差系列的协方差矩阵可以通过信息更新系列实时估计出来,只有模型误差系列的协方差矩阵需要预先给出.提出了一个处理区间入流较为合理、方便的方法.通过验证和应用说明了该模型的合理性.

关 键 词:河道洪水预报    卡尔曼滤波    半自适应滤波    实时预报    马斯京根法
收稿时间:1998-02-16

Half Self Adaptive Updating Kalman Filter Model of Channel Flow Routing
Li Zhijia,Kong Xianggong,Zhu Zhaochuang,Li Jian.Half Self Adaptive Updating Kalman Filter Model of Channel Flow Routing[J].Advances in Water Science,1998,9(4):367-372.
Authors:Li Zhijia  Kong Xianggong  Zhu Zhaochuang  Li Jian
Affiliation:1.Department of Water Resources and Hydrology, Hohai University, Nanjing 210098;2.Water Resources Management Bureau of Yishusi, Xuzhou 221009;3.Hydrologic Bureau of Anhui Province, Hefei 230022;4.Hydraulic Information Center of Ministry of Water Resources, Beijing 100053
Abstract:Based on the Kilman filter theory and Muskingum method,the half-self adaptive updating Kilman filter model of channel flow routing has been developed for real time application of flood forecasts.In the model,the measurement error covariance matrix can be estimated in real time throught on the innovation sequence. A reasonable and simple model is used in the inflowerrors.The examples show the model are reasonable.
Keywords:channel flo w routing  Kilman filter  half-self adaptive filter  real time forecast  Muskingum method  
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