基于Kalman滤波的浍河水库洪水预报研究  

Study on Huihe River Reservoir Flood Forecasting Based on Kalman Filtering

作　　者：张坡 

机构地区：[1]山西省临汾市浍河水库管理局,山西临汾043400

出　　处：《黑龙江水利科技》2016年第8期11-13,共3页Heilongjiang Hydraulic Science and Technology

摘　　要：研究基于Kalman滤波的洪水预报技术可以提高水库洪水预报的精度,解决资料有限的中小水库入库洪水预报的问题。利用浍河水库控制流域中的翼城、续鲁峪、河沄站的降雨数据并结合小河口水库泄流对河沄站的洪水流量进行预报试验,结果表明,应用Kalman滤波技术可有效提高水库洪水预报的精度。The flood forecasting technology based on Kalman filtering may increase the accuracy of reservoir flood forecasting and solve the problems about reservoir inflow flood forecasting for small and medium reservoirs with limited information. The rainfall data about Yicheng,Xuluyu and Heyun Stations within the catchment controlled by the Huihe River reservoir,combining with the Xiaohekou reservoir flood discharge,were used to forecast and test the flood discharge. The results show that the accuracy of reservoir flood forecasting can be effectively increased by applying Kalman filtering technology.

关 键 词：KALMAN滤波 洪水预报 实时校正 精度评定 

分 类 号：TV122[水利工程—水文学及水资源]