卡尔曼半自适应模型在复杂河道实时洪水预报和行蓄洪调度中的应用  

Application of Kalman Semi-Adaptive Updating Model in the Routing and Forecasting of Complicated Channel Flood

作　　者：李致家[1] 韩从尚[2] 翁明华 

机构地区：[1]河海大学水文水资源及环境学院,江苏南京210024 [2]安徽省水文局,安徽合肥230022 [3]上海市南汇县水利局,上海南汇201300

出　　处：《河海大学学报（自然科学版）》2001年第2期107-109,共3页Journal of Hohai University(Natural Sciences)

摘　　要：针对行蓄洪区复杂河道的特点 ,提出了行蓄洪区的计算与预报方法 ,使得卡尔曼半自适应滤波模型可以用于复杂河道行蓄洪的调度和实时洪水预报 .把该模型用于淮河干流中游鲁台子—吴家渡河段的洪水预报和行蓄洪的调度 ,取得了较高的预报精度 .Based on previous research,a Semi Adaptive Updating Model for complicated channel flood routing and forecasting is investigated.The flow routing for a complicated channel is considered in combination with flood diversion and flood retarding areas.An example of the Huaihe River,a typically complicated channel in China,is given to explain how the method works.The results show that the model is reasonable,effcetive and highly accurate.

关 键 词：洪水预报 马斯京根法 卡尔曼滤波 行蓄洪调度 

分 类 号：P338.6[天文地球—水文科学]