Coupling of shallow water and circulation models for prediction of multiphysics coastal flows: Method, implementation, and experiment

Tang, Hansong; Kraatz, Simon; Wu, Xi; Cheng, Wenwan; Qu, Kun; Polly, James B.

doi:10.1016/j.oceaneng.2012.12.050

Cited by 15 publications

(7 citation statements)

References 37 publications

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“…Another type of coupling is between models for coastal ocean flows. Examples are coupling of a model for narrow tributaries with vertically 2D flow patterns to a model for 3D flows [44], a 2D Godunov-type model simulating local flooding across traffic roads to FVCOM for the background ocean currents [45], a shallow water flow solver and the Navier-Stokes solver to resolve local flows [46], and a 3D ocean model with fine grids on the order of a meter to ROMS with coarse grids [47]. As a most recent effort, solvers for the Navier-Stokes equations are coupled with FVCOM to simulate local, complex flows in high fidelity [48,49].…”

Section: Current Statusmentioning

confidence: 99%

“…For instance, as in [55], a European group concluded that it is required to resolve 3D flow structures in near fields and the interaction between near and far fields to reduce such inaccuracy and uncertainty in tidal power development. As a result, efforts have been made to achieve two-way coupling, e.g., [45,48,49,56]. However, the bidirectional coupling is not yet widespread because it is challenging to realize and expensive to compute.…”

Section: Current Statusmentioning

confidence: 99%

See 1 more Smart Citation

Modeling Multiscale and Multiphysics Coastal Ocean Processes: A Discussion on Necessity, Status, and Advances

Tang

Nichols²,

Wright

et al. 2021

JMSE

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Coastal ocean flows are interconnected by a complex suite of processes. Examples are inlet jets, river mouth effluents, ocean currents, surface gravity waves, internal waves, wave overtopping, and wave slamming on coastal structures. It has become necessary to simulate such oceanographic phenomena directly and simultaneously in many disciplines, including coastal engineering, environmental science, and marine science. Oceanographic processes exhibit distinct behaviors at specific temporal and spatial scales, and they are multiscale, multiphysics in nature; these processes are described by different sets of governing equations and are often modeled individually. In order to draw the attention of the scientific community and promote their simulations, a Special Issue of the Journal of Marine Science and Engineering entitled “Multiscale, Multiphysics Modelling of Coastal Ocean Processes: Paradigms and Approaches” was published. The papers collected in this issue cover physical phenomena, such as wind-driven flows, coastal flooding, turbidity currents, and modeling techniques such as model comparison, model coupling, parallel computation, and domain decomposition. This article outlines the needs for modeling of coastal ocean flows involving multiple physical processes at different scales, and it discusses the implications of the collected papers. Additionally, it reviews the current status and offers a roadmap with numerical methods, data collection, and artificial intelligence as future endeavors.

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Section: Current Statusmentioning

confidence: 99%

Section: Current Statusmentioning

confidence: 99%

Modeling Multiscale and Multiphysics Coastal Ocean Processes: A Discussion on Necessity, Status, and Advances

Tang

Nichols²,

Wright

et al. 2021

JMSE

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“…Cheng et al [101] developed the COSM model, which couples nearshore (ADCIRC) and watershed (pWASH123D) processes, and suggested a tight two way coupling is necessary to accurately resolve nearshore-watershed interactions. Tang et al [102] presented a hybrid modeling approach, where a 3D ocean model (FVCOM) is coupled to a 2D nonlinear shallow water model to explicitly resolve marine flooding, which is combined with spatial output from a probabilistic hydrologic model to resolve compound flooding from various storm events. Thompson and Frazier [103] estimated potential future flooding hazards using a 2D hurricane surge model (SLOSH) and inland precipitation using the Interconnected Channel and Pond Routing Model (IPCR) model, and showed that precipitation significantly increases the flood extent.…”

Section: Hydrologic Impactsmentioning

confidence: 99%

Coastal Flood Modeling Challenges in Defended Urban Backshores

et al. 2018

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Coastal flooding is a significant and increasing hazard. There are multiple drivers including rising coastal water levels, more intense hydrologic inputs, shoaling groundwater and urbanization. Accurate coastal flood event prediction poses numerous challenges: representing boundary conditions, depicting terrain and hydraulic infrastructure, integrating spatially and temporally variable overtopping flows, routing overland flows and incorporating hydrologic signals. Tremendous advances in geospatial data quality, numerical modeling and overtopping estimation have significantly improved flood prediction; however, risk assessments do not typically consider the co-occurrence of multiple flooding pathways. Compound flooding refers to the combined effects of marine and hydrologic processes. Alternatively, multiple flooding source–receptor pathways (e.g., groundwater–surface water, overtopping–overflow, surface–sewer flow) may simultaneously amplify coastal hazard and vulnerability. Currently, there is no integrated framework considering compound and multi-pathway flooding processes in a unified approach. State-of-the-art urban coastal flood modeling methods and research directions critical to developing an integrated framework for explicitly resolving multiple flooding pathways are presented.

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“…Their analyses did not account for direct impacts of extreme rainfall on flood patterns. Two-dimensional hydrodynamic modeling is commonly used in the analysis of individual flood hazards (Gallien et al, 2018;Joyce et al, 2018;Kumbier et al, 2018;Olbert et al, 2017;Saleh et al, 2017;Tang et al, 2013). Bates et al (2010) developed a simplified two-dimensional model LISFLOOD-FP, which is found to be computationally efficient while yielding similar performance to diffusive models and full two-dimensional shallow water models in representing flood characteristics such as extents, depths, and velocities (Bates et al, 2010; de Almeida & Bates, 2013;Fewtrell et al, 2011;Lewis et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…The resultant risk is often significantly underestimated with severe consequences (Bevacqua et al, 2017; Chen et al, 2010; Kumbier et al, 2018). Until present, only a few studies have characterized compound flood hazards using process‐based (Couasnon et al, 2018; Joyce et al, 2018; Kumbier et al, 2018; Serafin et al, 2019; Tang et al, 2013) and statistical methods (Bevacqua et al, 2017; Jalili Pirani & Najafi, 2020; Klerk et al, 2015; Sadegh et al, 2018; van den Hurk et al, 2015; Wahl et al, 2015; Ward et al, 2018), and applied frameworks that combine them together (Lian et al, 2013; Moftakhari et al, 2019; Santiago‐Collazo et al, 2019; Thompson & Frazier, 2014). Thompson and Frazier (2014) studied joint impacts of storm surges, inland precipitation and sea level rise (SLR) over Sarasota County, Florida.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Numerical Modeling of Compound Flooding Caused by Tropical Storm Matthew Over a Data‐Scarce Coastal Environment

Zhang

Najafi

2020

Water Resources Research

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The passage of a tropical storm, as the main driver of storm surge and high waves in many coastal regions, can also generate heavy rainfall and cause river overflow. The resulting combination of riverine, pluvial, and coastal flood hazard can result in catastrophic losses particularly in densely populated coastal environments. In this study, we characterize compound flooding caused by Tropical Storm Matthew and assess the significance and associated uncertainties of multiple contributing factors over a data-scarce coastal region. A hydrological model combined with a simplified two-dimensional hydrodynamic model are set up and validated to investigate the compounding effects of storm tide, wave runup, rainfall, and river overflow at the southern coast of Saint Lucia in the Caribbean Sea. Pléiades-1 and Sentinel-1 satellite imageries are used to determine the flood-impacted areas. The analyses are performed based on deterministic and probabilistic approaches and the effects of uncertain boundary conditions and model parameters are investigated. Results show that the individual analysis of flood hazards, in isolation, can lead to substantial underestimation of flood risks. Heavy rainfall and wave runup are the most significant contributors to compound flooding in Saint Lucia. In addition, the interactions between seawater and streamflow can exacerbate riverine flood hazards particularly upstream of the river mouth. Communities in western Vieux Fort, and the Hewanorra International Airport, have high exposure to compound flooding, which is projected to intensify under climate change.

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Coupling of shallow water and circulation models for prediction of multiphysics coastal flows: Method, implementation, and experiment

Cited by 15 publications

References 37 publications

Modeling Multiscale and Multiphysics Coastal Ocean Processes: A Discussion on Necessity, Status, and Advances

Modeling Multiscale and Multiphysics Coastal Ocean Processes: A Discussion on Necessity, Status, and Advances

Coastal Flood Modeling Challenges in Defended Urban Backshores

Probabilistic Numerical Modeling of Compound Flooding Caused by Tropical Storm Matthew Over a Data‐Scarce Coastal Environment

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