Development of a coupled wave-flow-vegetation interaction model

Beudin, Alexis; Kalra, Tarandeep S.; Ganju, Neil K.; Warner, John C.

doi:10.1016/j.cageo.2016.12.010

Cited by 90 publications

(90 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model is forced by oscillating the water level on the northern edge with a tidal amplitude of 0.5 m and a period of 12 h. Waves are also imposed on the northern edge with a height of 0.5 m, directed to the south (zero angle), with a period of 2 s. The test case setup is similar to the one used by Beudin et al (2017). The test case setup is simulated for 2 days to obtain a tidally steady state solution.…”

Section: Test Case Configurationmentioning

confidence: 99%

“…The parameterizations used to implement the effect of vegetation in both ROMS and SWAN models are mentioned in Table 1 and detailed in Beudin et al (2017). The coupling between the two models occurs with an exchange of water level and depth-averaged velocities from ROMS to SWAN and wave fields from SWAN to ROMS after a fixed number of time steps (Fig.…”

Section: Coawst Implementation Of Vegetation Model Parameterizationmentioning

confidence: 99%

“…Recently, Beudin et al (2017) implemented the effects of vegetation in a vertically varying water column through momentum extraction and turbulence dissipation and generation using a 3-D hydrodynamic model and accounting for wave dissipation due to vegetation in a spectral wave model. The modeling approach was implemented and tested within the open-source COAWST (Coupled Ocean-AtmosphereWave-Sediment Transport) modeling system that couples hydrodynamic and wave models (Warner et al, 2010).…”

Section: T S Kalra Et Al: Sensitivity Analysis Of a Coupled Hydrodmentioning

confidence: 99%

“…5, we summarize our work and outline areas of future research. Beudin et al (2017) implemented a hydrodynamicvegetation routine within the open-source COAWST numerical modeling system. The COAWST framework utilizes ROMS for hydrodynamics and SWAN for modeling waves coupled via the Model Coupling Toolkit (MCT) (Warner et al, 2008b).…”

Section: T S Kalra Et Al: Sensitivity Analysis Of a Coupled Hydrodmentioning

confidence: 99%

See 3 more Smart Citations

Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method (ESQM v5.2)

et al. 2017

Self Cite

View full text Add to dashboard Cite

Abstract. Coastal hydrodynamics can be greatly affected by the presence of submerged aquatic vegetation. The effect of vegetation has been incorporated into the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system. The vegetation implementation includes the plant-induced three-dimensional drag, in-canopy waveinduced streaming, and the production of turbulent kinetic energy by the presence of vegetation. In this study, we evaluate the sensitivity of the flow and wave dynamics to vegetation parameters using Sobol' indices and a least squares polynomial approach referred to as the Effective Quadratures method. This method reduces the number of simulations needed for evaluating Sobol' indices and provides a robust, practical, and efficient approach for the parameter sensitivity analysis. The evaluation of Sobol' indices shows that kinetic energy, turbulent kinetic energy, and water level changes are affected by plant stem density, height, and, to a lesser degree, diameter. Wave dissipation is mostly dependent on the variation in plant stem density. Performing sensitivity analyses for the vegetation module in COAWST provides guidance to optimize efforts and reduce exploration of parameter space for future observational and modeling work.

show abstract

Section: Test Case Configurationmentioning

confidence: 99%

Section: Coawst Implementation Of Vegetation Model Parameterizationmentioning

confidence: 99%

Section: T S Kalra Et Al: Sensitivity Analysis Of a Coupled Hydrodmentioning

confidence: 99%

Section: T S Kalra Et Al: Sensitivity Analysis Of a Coupled Hydrodmentioning

confidence: 99%

See 2 more Smart Citations

Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method (ESQM v5.2)

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…ROMS also includes several biogeochemical modules (Fasham et al, 1990;Fennel et al, 2006). New components have since been added, including spectral irradiance and seagrass growth models (del Barrio et al, 2014) and a model for treating the effects of submerged aquatic vegetation on waves and currents (Beudin et al, 2017). The present paper describes new components that model processes associated with cohesive sediment (mud) and mixtures of sand and mud.…”

Section: Objectives and Outline Of The Papermentioning

confidence: 99%

Cohesive and mixed sediment in the Regional Ocean Modeling System (ROMS v3.6) implemented in the Coupled Ocean–Atmosphere–Wave–Sediment Transport Modeling System (COAWST r1234)

et al. 2018

View full text Add to dashboard Cite

Abstract. We describe and demonstrate algorithms for treating cohesive and mixed sediment that have been added to the Regional Ocean Modeling System (ROMS version 3.6), as implemented in the Coupled Ocean-Atmosphere-WaveSediment Transport Modeling System (COAWST Subversion repository revision 1234). These include the following: floc dynamics (aggregation and disaggregation in the water column); changes in floc characteristics in the seabed; erosion and deposition of cohesive and mixed (combination of cohesive and non-cohesive) sediment; and biodiffusive mixing of bed sediment. These routines supplement existing noncohesive sediment modules, thereby increasing our ability to model fine-grained and mixed-sediment environments. Additionally, we describe changes to the sediment bed layering scheme that improve the fidelity of the modeled stratigraphic record. Finally, we provide examples of these modules implemented in idealized test cases and a realistic application.

show abstract

Physical response of a back‐barrier estuary to a post‐tropical cyclone

et al. 2017

View full text Add to dashboard Cite

This paper presents a modeling investigation of the hydrodynamic and sediment transport response of Chincoteague Bay (VA/MD, USA) to Hurricane Sandy using the Coupled Ocean‐Atmosphere‐Wave‐Sediment‐Transport (COAWST) modeling system. Several simulation scenarios with different combinations of remote and local forces were conducted to identify the dominant physical processes. While 80% of the water level increase in the bay was due to coastal sea level at the peak of the storm, a rich spatial and temporal variability in water surface slope was induced by local winds and waves. Local wind increased vertical mixing, horizontal exchanges, and flushing through the inlets. Remote waves (swell) enhanced southward flow through wave setup gradients between the inlets, and increased locally generated wave heights. Locally generated waves had a negligible effect on water level but reduced the residual flow up to 70% due to enhanced apparent roughness and breaking‐induced forces. Locally generated waves dominated bed shear stress and sediment resuspension in the bay. Sediment transport patterns mirrored the interior coastline shape and generated deposition on inundated areas. The bay served as a source of fine sediment to the inner shelf, and the ocean‐facing barrier island accumulated sand from landward‐directed overwash. Despite the intensity of the storm forcing, the bathymetric changes in the bay were on the order of centimeters. This work demonstrates the spectrum of responses to storm forcing, and highlights the importance of local and remote processes on back‐barrier estuarine function.

show abstract

Development of a coupled wave-flow-vegetation interaction model

Cited by 90 publications

References 46 publications

Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method (ESQM v5.2)

Sensitivity analysis of a coupled hydrodynamic-vegetation model using the effectively subsampled quadratures method (ESQM v5.2)

Cohesive and mixed sediment in the Regional Ocean Modeling System (ROMS v3.6) implemented in the Coupled Ocean–Atmosphere–Wave–Sediment Transport Modeling System (COAWST r1234)

Physical response of a back‐barrier estuary to a post‐tropical cyclone

Contact Info

Product

Resources

About