Application of an Integrated Modeling System for Estuarine and Coastal Ecosystems to Indian River Lagoon, Florida

Sheng, Y. Peter; Davis, Justin R.; Sun, Deqing; Qiu, Chenxia; Christian, David; Park, K.; Kim, Taeyun; Zhang, Y.

doi:10.1061/40628(268)21

Cited by 13 publications

(13 citation statements)

References 5 publications

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“…Flushing times for the different cases are compared in the next section. SHENG et al (2002b) determined the flushing time inside the Indian River Lagoon by using CH3D with a fine grid and eight segments shown in SHENG et al (2002a). The model simulation was for 1 year (January 1 to December 31, 1998) and includes the forcing of tide, wind, river, salinity, precipitation, and evaporation.…”

Section: Methods For Calculating Estuarine Flushingmentioning

confidence: 99%

“…SMITH (1993SMITH ( , 1996 used a relatively simple hydrodynamic model to estimate the flushing inside the Indian River Lagoon. SHENG et al (1996SHENG et al ( , 2002a used a three-dimensional hydrodynamic model to simulate the flushing time. This method requires a quantitative understanding of the estuarine hydrodynamics under the influence of multiple forcing functions (tide, wind, river inflow, etc.).…”

Section: Methods For Calculating Estuarine Flushingmentioning

confidence: 99%

“…CH3D (SHENG, 1987(SHENG, , 1990SHENG, 2008) was selected for this study because CH3D uses: (1) a boundary-fitted curvilinear grid to more accurately resolve the complex shoreline and geometry; (2) a terrain-following vertical grid to accurately represent the varying bottom; (3) a robust turbulence closure model for vertical turbulent mixing; and (4) highly accurate advective schemes QUICKEST (LEONARD, 1979) and Ultimate QUICKEST (LEONARD, 1991). Moreover, CH3D has been extensively applied to similar estuaries in Florida (e.g., Indian River Lagoon) (ARNOLD et al, 2005;SHENG et al, 2002aSHENG et al, , 2004SHENG, DU, and PARAMYGIN, 2002b), St. Johns River, Charlotte Harbor, and other regions.…”

Section: A Three-dimensional Numerical Model-ch3dmentioning

confidence: 99%

“…PHLIPS et al (2004), citing previous hydrodynamic studies (CHRISTIAN, SUCSY, and CARTER, 2004;JOHN and MORRIS, 1999), developed an empirical estimate of the water residence time-the so-called residence time index (RTI) at the eight stations. Although their results are interesting, PHLIPS et al (2004) did not explain how the RTIs were developed from the hydrodynamic modeling results, nor did they compare the RTI vs. the flushing times calculated by more traditional methods (e.g., DYER, 1973;DYER and TAYLOR, 1973;KETCHUM, 1951;LOWERY, 1998) or the more quantitative methods (e.g., EDINGER, BUCHAK, and KOLLUBRU, 1998;SMITH, 1993SMITH, , 1996 particularly those based on three-dimensional hydrodynamic modeling (e.g., SHENG et al, 2002a;SHENG, DU, and PARAMY-GIN, 2002b). …”

Section: Introductionmentioning

confidence: 98%

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Circulation and Flushing in the Lagoonal System of the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), Florida

Sheng

Tutak

Davis

et al. 2008

Journal of Coastal Research

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Section: Methods For Calculating Estuarine Flushingmentioning

confidence: 99%

Section: Methods For Calculating Estuarine Flushingmentioning

confidence: 99%

Section: A Three-dimensional Numerical Model-ch3dmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Circulation and Flushing in the Lagoonal System of the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), Florida

Sheng

Tutak

Davis

et al. 2008

Journal of Coastal Research

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“…Parallel processing techniques have been applied to numerous hydrodynamic models such as: the Miami Isopycnic Coordinate Ocean Model (MICOM) [3], the CH3D-WES Model [4][5][6] and the Princeton Ocean Model (POM) [7]. Recently, these techniques have even been applied to the fully coupled integrated modelling system, CH3D-IMS [8,9]. These studies focused on converting previously serial codes to parallel; however, because of the traditionally serial nature of these legacy models (POM, CH3D, etc.…”

Section: Introductionmentioning

confidence: 99%

Development of a parallel storm surge model

Davis

Sheng

2003

Numerical Methods in Fluids

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SUMMARYA new parallel storm surge model, the Parallel Environmental Model (PEM), is developed and tested by comparisons with analytic solutions. The PEM is a 2-D vertically averaged, wetting and drying numerical model and can be operated in explicit, semi-implicit and fully implicit modes. In the implicit mode, the propagation, Coriolis and bottom friction terms can all be treated implicitly. The advection and di usion terms are solved with a parallel Eulerian-Lagrangian scheme developed for this study. The model is developed speciÿcally for use on parallel computer systems and will function accordingly in either explicit of implicit modes. Storm boundary conditions are based on a simple exponential decay of pressure from the centre of a storm. The simulated ooding caused by a major Category 5 hurricane making landfall in the Indian River Lagoon, Florida is then presented as an example application of the PEM.

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Simulating complex storm surge dynamics: Three‐dimensionality, vegetation effect, and onshore sediment transport

Lapetina

Sheng

2015

JGR Oceans

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The 3‐D hydrodynamics of storm surge events, including the effects of vegetation and impact on onshore transport of marine sediment, have important consequences for coastal communities. Here, complex storm surge dynamics during Hurricane Ike are investigated using a three‐dimensional (3‐D), vegetation‐resolving storm surge‐wave model (CH3D‐SWAN) which includes such effects of vegetation as profile drag, skin friction, and production, dissipation, and transport of turbulence. This vegetation‐resolving 3‐D model features a turbulent kinetic energy (TKE) closure model, which uses momentum equations with vegetation‐induced profile and skin friction drags, a dynamic q2 equation including turbulence production and dissipation by vegetation, as well as vegetation‐dependent algebraic length‐scale equations, and a Smagorinsky‐type horizontal turbulence model. This vegetation model has been verified using extensive laboratory tests, but this study is a comparison of 2‐D and 3‐D simulations of complex storm surge dynamics during Hurricane Ike. We examine the value of 3‐D storm surge models relative to 2‐D models for simulating coastal currents, effects of vegetation on surge, and sediment transport during storm events. Comparisons are made between results obtained using simple 2‐D formulations for bottom friction, the Manning coefficient (MC) approach, and physics‐based 3‐D vegetation‐modeling (VM) approach. Last, the role that the 3‐D hydrodynamics on onshore transport and deposition of marine sediments during the storm is investigated. While both the 3‐D and 2‐D results simulated the water level dynamics, results of the physics‐based 3‐D VM approach, as compared to the 2‐D MC approach, more accurately captures the complex storm surge dynamics.

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Application of an Integrated Modeling System for Estuarine and Coastal Ecosystems to Indian River Lagoon, Florida

Cited by 13 publications

References 5 publications

Circulation and Flushing in the Lagoonal System of the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), Florida

Circulation and Flushing in the Lagoonal System of the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), Florida

Development of a parallel storm surge model

Simulating complex storm surge dynamics: Three‐dimensionality, vegetation effect, and onshore sediment transport

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