摘要
将数据驱动模型理论和海域潮汐模型有机地结合在一起,建立海域潮汐模型开边界反演新方法,并纳入潮流资料作为反演工作的依据。该方法通过海域潮汐模型设计工况的计算构建内部观测点的解集空间,并归纳建立内部观测点潮汐(或潮流)同开边界潮汐之间的关系,将观测点潮汐和潮流实测资料带入关系之中反演开边界条件。以辽东湾海域潮汐模型K1分潮振幅开边界条件为例验证反演方法,表明该开边界反演方法是有效的。
In this paper, a new method is presented to provide the tidal model under open boundary condition, in which the theory of the data-driven model is integrated with the tidal model, and the tidal current field data is imported, too. The approach constructs solution space of internal observation site with the results of numerical simulation cases, and describes the relationship between the internal observation site and the open boundary. And the filed data are imported into the relationship to inverse the open boundary condition. A case study of K1 tidal constituent amplitude in Liaodong bay is presented for the validation of the method. The maximum error of K1 tidal constituent amplitude is 0.008 m, and the results show that the method is efficient for inversing the open boundary condition.
出处
《水科学进展》
EI
CAS
CSCD
北大核心
2009年第1期129-134,共6页
Advances in Water Science
基金
国家自然科学基金资助项目(50509005)~~
关键词
开边界条件
反演
数据驱动模型
潮流
潮汐模型
open boundary condition
inversion
data-driven model
tidal current
tidal model
