Reconstructing wave profiles from inundation data

被引:2
|
作者
Funke, S. W. [1 ]
Farrell, P. E. [1 ,2 ]
Piggott, M. D. [3 ]
机构
[1] Simula Res Lab, Biomed Comp, N-1364 Fornebu, Norway
[2] Univ Oxford, Math Inst, Oxford OX2 6GG, England
[3] Imperial Coll London, Dept Earth Sci & Engn, London SW7 2AZ, England
基金
英国自然环境研究理事会; 英国工程与自然科学研究理事会;
关键词
Wetting and drying; Data assimilation; Finite element method; Adjoint wetting and drying; Sensitivity analysis; VARIATIONAL DATA ASSIMILATION; ADJOINT SENSITIVITY-ANALYSIS; SHALLOW-WATER EQUATIONS; FINITE-ELEMENT; FLOW; IDENTIFICATION; ALGORITHM; MODEL; BASIN;
D O I
10.1016/j.cma.2017.04.019
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper applies variational data assimilation to inundation problems governed by the shallow water equations with wetting and drying. The objective of the assimilation is to recover an unknown time-varying wave profile at an open ocean boundary from inundation observations. This problem is solved with derivative-based optimisation and an adjoint wetting and drying scheme to efficiently compute sensitivity information. The capabilities of this approach are demonstrated on an idealised sloping beach setup in which the profile of an incoming wave is reconstructed from wet/dry interface observations. The method is robust to noise in the observations if a regularisation term is added to the optimisation objective. Finally, the method is applied to a laboratory experiment of the Hokkaido-Nansei-Oki tsunami, where the wave profile is reconstructed with a relative L-infinity error of less than 1%. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:167 / 186
页数:20
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