WATER QUALITY FORECAST OF THE TRIBUTARIES OF THREE-GORGE RESERVOIR

摘要：

Accurate and reliable flow forecasting form an important basis for efficient real-time fiver management, including flood control, flood warning and so on. In order to improve the accuracy of flow forecasting, gain matrix of Kalman filter was applied to real-time correction of hydraulic model for spatial distributing the system deviation (called expected value of system noise in Kalman filter). That means Kalman gain matrix is used to distribute model system deviation from measurement cross sections to the entire state of the river system. State functions of Kalman filter were set up based on discretization and linearization Saint-Venant equations by adopting four-point linear implicit form, and the spatial distribution system deviation method (SDM) was used for real-time correction. The calculation of flood forecasting for river section from Cuntan to Fengjie of Yangtze River verifies that SDM is useful in promoting the accuracy of real-time flood forecasting.

关键词： Kalman filter gain matriz real-time correction ezpected value of system noise

作者: Chao Ma Jijian Lian

作者单位: School of Civil Engineering Tianjio University, Tianjin, China School of Civil Engineering Tianjin University, Tianjin, China

会议类型: 国际会议

会议名称: 第16届亚太地区国际水利学大会暨第3届水工水力学国际研讨会(16th IAHR-APD Congress and 3rd Symoposium of IAHR-ISHS)

会议地点: 南京

会议语种:英文

页码: 744-749

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）