基于卡尔曼滤波的水动力模型实时校正方法研究
首发时间:2007-07-20
摘要:针对应用卡尔曼滤波技术解决水动力学模型在实时洪水预报中的校正问题,本文提出了交替卡尔曼滤波方法,该法分别建立水位与流量的状态方程,进行交替滤波计算,较好的解决了滤波中不同类型状态量之间共同校正的问题。对长江干流局部河段的实例验证表明,卡尔曼滤波技术应用于单一河道水动力学模型中没有破坏模型的稳定性,局部的校正对全河道具有较好的作用,说明卡尔曼滤波技术应用到水动力学模型的时实校正中是可行和有效的。
关键词: 实时洪水预报 卡尔曼滤波 水动力模型 交替卡尔曼滤波
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Researches on the Real Time Correction of the Hydrodynamic Model Based on Kalman Filter
Abstract:Considering the Kalman filter was applied to real time correction of hydrodynamic flood forecast model, a alternate Kalman filtering method was introduced here, two kinds of spatial equations were established by using water-level and discharge for alternate filtering which was better solved the difficult of different state variables calculation together. The calculation of flood forecasting for river section of Yangtze River verified that the proposed method was not only stable in single river hydrodynamic model, but also feasible and effective in improving the whole system accuracy of forecasting by several stations’ updating.
Keywords: real time flood forecasting Kalman filter hydrodynamic model alternate Kalman filtering
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No.1416113064211849****
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