首页 | 本学科首页   官方微博 | 高级检索  
     

枫树坝水库洪水实时预报校正方法研究
引用本文:宋星原,雒文生,苏志诚. 枫树坝水库洪水实时预报校正方法研究[J]. 人民珠江, 2000, 0(3): 13-16
作者姓名:宋星原  雒文生  苏志诚
作者单位:武汉水利电力大学,湖北,武汉,430072
摘    要:枫树坝水库降雨径流概念性模型的建立及其自动采集系统的完善,为枫树坝水库洪水实时预报校正研究提供了前提条件。概念性水文模型考虑因素尽管样全面,但汇流经验单位线计算流量过程精度有待提高。基于洪水预报误差信息,对一价自回归模型自适应递推、二阶自回归自适应递推和卡尔曼滤波校正方法进行研究分析。实际洪水与模拟计算结果对比分析表明,二阶自加归递推和卡尔曼滤波校正计算方法提高了洪水预报精度。

关 键 词:洪水预报 实时预报校正模型 枫树坝水库
文章编号:1001-9235(2000)03-0013-04
修稿时间:1999-08-20

Study on the Method of Real Time Flood Forecasting Correction for Fengshuba Reservoir
SONG Xing-yuan, LUO Wen-sheng, SU Zhi-cheng. Study on the Method of Real Time Flood Forecasting Correction for Fengshuba Reservoir[J]. Pearl River, 2000, 0(3): 13-16
Authors:SONG Xing-yuan   LUO Wen-sheng   SU Zhi-cheng
Abstract:The founding of rainfall runoff conceptional model for Fengshuba Reservoir and perfection of its auto- matic collection system have provided premisses for the study on real time flood forecasting correction for Feng- shuba Reservoir. Although the conceptional hydrologic medel has taken all-around factors into account, the accu- racy of discharge hydrograph calculated by empirical concentration unit graph is yet to be improved. Based on the control information of flood forecasting, studies have been carried out on the methods of self adapting parar-neters estimation algorithm and Kalman filtering AR(2) model. The results show that self adapting recursion of second order autoregressive correction model and Kalman filtering algorithm are more efficient and accurate for the reservoir flood forecast.
Keywords:flood forecast  real time forecast correction model  Fengshuba Reservoir
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号