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开边界优化反演方法在渤海湾潮汐模型中的应用

Application of Optimal Inversion Method of Open Boundary Conditions in Bohai Bay Tidal Model
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摘要 开边界条件的确定是海域潮汐模型验证的主要难点之一。采用数据驱动模型和海域潮汐模型有机结合的开边界条件反演新方法,耦合反演渤海湾海域潮汐模型开边界条件,以实现潮波的精确数值模拟。数值模拟的M2,S2,K1调和常数与实测值的最大误差绝对值:K1振幅为4.37 cm,K1迟角为6.7°。数值结果验证了该方法对不同海域不同模型的工程适用性。 Accurate determination of open boundary conditions is a major difficulty for numerical tidal models.A data-driven model based on artificial neural network is applied to inverse open boundary values of Bohai Bay tidal model.Three major tidal constituents,M2,S2,and K1,are considered in coupled inversion method for accurate tidal numerical modeling.The maximum error absolute value between simulation and field data is 4.37 cm of K1 amplitude and 6.7°of K1 phase respectively.Case studies show that the coupled inversion for open boundary conditions can make a more satisfactory inversion for a different numerical model and research marine zone.
出处 《中国港湾建设》 北大核心 2010年第3期18-21,共4页 China Harbour Engineering
基金 中央级公益性科研院所基本科研业务费专项资金项目(TKS090204)
关键词 开边界条件 数据驱动模型 反演 耦合 open boundary condition data-driven model inversion coupled
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