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| 基于集合Kalman滤波的河道洪水预报研究 | |
| 引用本文： | 岳延兵,李致家,李振兴. 基于集合Kalman滤波的河道洪水预报研究[J]. 水电能源科学, 2011, 29(1) |
| 作者姓名： | 岳延兵 李致家 李振兴 |
| 作者单位： | 1. 河海大学水文水资源学院,江苏,南京,210098;山西水利职业技术学院,山西,运城,044004 2. 河海大学水文水资源学院,江苏,南京,210098 3. 山西水利职业技术学院,山西,运城,044004 |
| 摘 要： | 为提高河道洪水预报精度,研究了集合Kalman滤波法与最小二乘法对马斯京根模型参数率定的河道洪水预报技术,并以长水-白马寺实测洪水为例进行了对比检验,探讨了集合Kalman滤波法的多时段预报洪水过程及其特点.检验结果表明,应用集合Kalman滤波技术优于最小二乘法的预报效果,可有效提高河道洪水预报的精度并能适度延长预报时段. |
| 关 键 词： | 集合Kalman滤波 数据同化 信息融合 洪水预报 |
Study of River Channel Flood Forecasting by Ensemble Kalman Filtering |
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| YUE Yanbing,LI Zhiji,LI Zhenxing. Study of River Channel Flood Forecasting by Ensemble Kalman Filtering[J]. International Journal Hydroelectric Energy, 2011, 29(1) | |
| Authors: | YUE Yanbing LI Zhiji LI Zhenxing |
| Affiliation: | YUE Yanbing1,2,LI Zhijia1,LI Zhenxing2(1.College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China,2.Shanxi Conservancy Technical College,Yuncheng 044004,China) |
| Abstract: | Ensemble Kalman filtering and least square method is used to estimate the Muskingum model parameter for improving the river channel flood forecasting accuracy.Taking observed flood in Changshui-Baima Temple for an example,multi-period flood forecasting and its characteristics with ensemble Kalman filtering are discussed.Test results show that the effect of ensemble Kalman filtering is better than that of the least square method;time interval and accuracy for river channel flood forecasting is improved. |
| Keywords: | ensemble Kalman filtering data assimilation information fusion flood forecasting |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |