大亚湾核电站周围大气流场监测数据同化分析  

Data Assimilation for the Air Flow Around Daya Bay Nuclear Power Station

作　　者：潘萌[1] 张春粦[1] 张杰[1] 

机构地区：[1]暨南大学理工学院,广东广州510632

出　　处：《计算物理》2007年第1期65-70,共6页Chinese Journal of Computational Physics

基　　金：广东省重点攻关项目(重点学科2000-34)资助项目

摘　　要：在大亚湾核电站周围大气流场分布模拟计算中,引入了一种简化的同化技术,用以解决观测数据在时间、空间上分布不均匀导致的流场预报误差.测试并分析了该同化技术对计算模式和初始场的影响,结果表明该同化方法对模式误差和初始场误差的抑制是显著的.In numerical simulation of the air flow around Daya Bay nuclear power station（NPS）, a simplified data assimilation method is used to restrain forecasting errors that are caused by the uneven distribution of observation data in time and space. The effect of data assimilation on the initialization field model is analyzed. It shows that the method restrains errors in initialization field and in model significantly.

关 键 词：数据同化 核电站 大气流场 

分 类 号：O351.2[理学—流体力学]