A Near-Shore Linear Wave Model with the Mixed Finite Volume and Finite Difference Unstructured Mesh Method

The near-shore and estuary environment is characterized by complex natural processes. A prominent feature is the wind-generated waves, which transfer energy and lead to various phenomena not observed where the hydrodynamics is dictated only by currents. Over the past several decades, numerical models have been developed to predict the wave and current state and their interactions. Most models, however, have relied on the two-model approach in which the wave model is developed independently of the current model and the two are coupled together through a separate steering module. In this study, a new wave model is developed and embedded in an existing two-dimensional (2D) depth-integrated current model, SRH-2D. The work leads to a new wave–current model based on the one-model approach. The physical processes of the new wave model are based on the latest third-generation formulation in which the spectral wave action balance equation is solved so that the spectrum shape is not pre-imposed and the non-linear effects are not parameterized. New contributions of the present study lie primarily in the numerical method adopted, which include: (a) a new operator-splitting method that allows an implicit solution of the wave action equation in the geographical space; (b) mixed finite volume and finite difference method; (c) unstructured polygonal mesh in the geographical space; and (d) a single mesh for both the wave and current models that paves the way for the use of the one-model approach. An advantage of the present model is that the propagation of waves from deep water to shallow water in near-shore and the interaction between waves and river inflows may be carried out seamlessly. Tedious interpolations and the so-called multi-model steering operation adopted by many existing models are avoided. As a result, the underlying interpolation errors and information loss due to matching between two meshes are avoided, leading to an increased computational efficiency and accuracy. The new wave model is developed and verified using a number of cases. The verified near-shore wave processes include wave shoaling, refraction, wave breaking and diffraction. The predicted model results compare well with the analytical solution or measured data for all cases.

[1]  A. Sommerfeld Mathematische Theorie der Diffraction , 1896 .

[2]  M. Longuet-Higgins,et al.  The changes in amplitude of short gravity waves on steady non-uniform currents , 1961, Journal of Fluid Mechanics.

[3]  J. Crease The Dynamics of the Upper Ocean , 1967 .

[4]  M. Longuet-Higgins Longshore currents generated by obliquely incident sea waves: 1 , 1970 .

[5]  T. Barnett,et al.  Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP) , 1973 .

[6]  Jay P. Boris,et al.  Flux-corrected transport. I. SHASTA, a fluid transport algorithm that works , 1973 .

[7]  Fukuzo Tasai,et al.  Observations of the Directional Spectrum of Ocean WavesUsing a Cloverleaf Buoy , 1975 .

[8]  K. Hasselmann,et al.  Mechanisms of wave transformation in finite-depth water , 1980 .

[9]  K. Hasselmann,et al.  On the Existence of a Fully Developed Wind-Sea Spectrum , 1984 .

[10]  K. Hasselmann,et al.  Computations and Parameterizations of the Nonlinear Energy Transfer in a Gravity-Wave Specturm. Part II: Parameterizations of the Nonlinear Energy Transfer for Application in Wave Models , 1985 .

[11]  Nicholas C. Kraus,et al.  Numerical Model of Longshore Current for Bar and Trough Beaches , 1991 .

[12]  Hendrik L. Tolman,et al.  A Third-Generation Model for Wind Waves on Slowly Varying, Unsteady, and Inhomogeneous Depths and Currents , 1991 .

[13]  P. Ridd,et al.  Modelling of Suspended Sediment Transport in Coastal Areas Under Waves and Currents , 1997 .

[14]  N. Booij,et al.  A third-generation wave model for coastal regions-1 , 1999 .

[15]  Y. Lai Unstructured Grid Arbitrarily Shaped Element Method for Fluid Flow Simulation , 2000 .

[16]  Paul D. Bates,et al.  The TELEMAC modelling system - Special issue , 2000 .

[17]  Hajime Mase Multi-Directional Random Wave Transformation Model Based on Energy Balance Equation , 2001 .

[18]  Nico Booij,et al.  Phase-decoupled refraction¿diffraction for spectral wave models , 2003 .

[19]  Henrik Kofoed-Hansen,et al.  A THIRD-GENERATION SPECTRAL WAVE MODEL USING AN UNSTRUCTURED FINITE VOLUME TECHNIQUE , 2005 .

[20]  Tai-Wen Hsu,et al.  Hindcasting nearshore wind waves using a FEM code for SWAN , 2005 .

[21]  Tai-Wen Hsu,et al.  Verification of a 3rd Generation FEM Spectral Wave Model for Shallow and Deep Water Applications , 2006 .

[22]  Hajime Mase,et al.  CMS-Wave: A nearshore spectral wave processes model for coastal inlets and navigation projects , 2008 .

[23]  Yan Ding,et al.  Development and Application of a Coastal and Estuarine Morphological Process Modeling System , 2008 .

[24]  Peter A. E. M. Janssen,et al.  Progress in ocean wave forecasting , 2008, J. Comput. Phys..

[25]  W. Perrie,et al.  An unstructured-grid finite-volume surface wave model (FVCOM-SWAVE): Implementation, validations and applications , 2009 .

[26]  M. Zijlema Computation of wind-wave spectra in coastal waters with SWAN on unstructured grids , 2010 .

[27]  Yong G. Lai,et al.  Two-Dimensional Depth-Averaged Flow Modeling with an Unstructured Hybrid Mesh , 2010 .

[28]  Alejandro J. Souza,et al.  DETERMINISTIC COASTAL MORPHOLOGICAL AND SEDIMENT TRANSPORT MODELING: A REVIEW AND DISCUSSION , 2011 .

[29]  George E. Karniadakis,et al.  A hybrid spectral/DG method for solving the phase-averaged ocean wave equation: Algorithm and validation , 2012, J. Comput. Phys..

[30]  Jing Luo,et al.  Numerical modelling of hydrodynamics and sand transport in the tide-dominated coastal-to-estuarine region , 2013 .

[31]  A. Lagmay,et al.  Devastating storm surges of Typhoon Haiyan , 2015 .

[32]  Yongjun Lu,et al.  Advances in sediment transport under combined action of waves and currents , 2015 .

[33]  Simulation of Typhoon Bolaven using Integrally Coupled Tide-Surge-Wave Models based on locally Enhanced Fine-Mesh Unstructured Grid System , 2016 .

[34]  Andrew Barkwith,et al.  The effectiveness of beach mega-nourishment, assessed over three management epochs. , 2016, Journal of environmental management.

[35]  D. Roelvink,et al.  Coastal lagoons and rising sea level: A review , 2016 .

[36]  Eugen Rusu,et al.  Reliability and Applications of the Numerical Wave Predictions in the Black Sea , 2016, Front. Mar. Sci..

[37]  Alejandro Sánchez,et al.  A depth-averaged 2-D model of flow and sediment transport in coastal waters , 2016, Ocean Dynamics.

[38]  Junjie Deng,et al.  Morphogenetic modelling of coastal and estuarine evolution , 2017 .

[39]  Allan T. Williams,et al.  Use of ecosystems in coastal erosion management , 2017 .

[40]  A. Farhadzadeh,et al.  Numerical Modeling of Coastal Storms for Ice-Free and Ice-Covered Lake Erie , 2017, Journal of Coastal Research.

[41]  R. Carballo,et al.  An integrated approach for the planning of dredging operations in estuaries. , 2017 .

[42]  Laurent Debreu,et al.  The numerics of hydrostatic structured-grid coastal ocean models: state of the art and future perspectives , 2018 .

[43]  Michael E. Meadows,et al.  Building beyond land: An overview of coastal land reclamation in 16 global megacities , 2018 .

[44]  A. Schlüter,et al.  Analyzing potential effects of migration on coastal resource conservation in Southeastern Ghana. , 2018, Journal of environmental management.

[45]  T. Waseda,et al.  Ocean Wave Physics and Modeling: The Message from the 2019 WISE Meeting , 2019 .

[46]  A. Agrawal,et al.  Integration of fully 3D fluid dynamics and geophysical fluid dynamics models for multiphysics coastal ocean flows: Simulation of local complex free-surface phenomena , 2019, Ocean Modelling.

[47]  Rusu,et al.  Nearshore Wave Dynamics at Mangalia Beach Simulated by Spectral Models , 2019, Journal of Marine Science and Engineering.