【作者】 吴晓玲； 王船海；

【Author】 WU Xiao-ling WANG Chuan-hai (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,

【机构】 河海大学水文水资源与水利工程科学国家重点实验室；

【摘要】 针对洪水预报中糙率参数的实时修正问题,采用卡尔曼滤波技术,实现动量方程实时校正糙率参数,以提高水动力学模型的洪水预报精度。对复杂地形所引起的局部动量损失进行处理,使反演的糙率参数更显客观. 选择长江干流寸滩至万县河段进行试验,应用2004年该河段洪水资料作验证.结果表明, 反演的糙率参数对提高实时洪水预报精度有效.更多还原

【Abstract】 To detect the effect of roughness parameters in real time correction for flood forecasting, and improve the accuracy of hydraulic forecasting model,the Kalman filter was applied to realize the real time correction of the roughness parameters by the momentum equation.In order to reflect the roughness parameters impersonality,the local loss of momentum item was added to momentum equation where complex flow happened between adjacent cross sections of river channel by complex terrain. The calculation of flood forecasting for river section from Cuntan to Wanxian of Yangtze River verifies that the inverse analysis of channel parameters can be resultful in promoting the accuracy of forecasting by adopting the flood information of 2004.更多还原