Efficient scheme for the shallow water equations on unstructured grids with application to the Continental Shelf

Kernkamp, Herman; Dam, Arthur van; Stelling, Guus S.; Goede, E.D. de

doi:10.1007/s10236-011-0423-6

Cited by 162 publications

(146 citation statements)

References 18 publications

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“…However, this may be constrained by the actual aims of the modelling as well as available boundary data. Further examples of the issues arising when de ning a model grid are given by Hsu et al [33], Kernkamp et al [34], Liu and Ren [35], and Maynard and Johnson [36]. Table 3 shows an example of the typical model grid resolution required for estuarine models intended for studies of water levels and ow velocities [3].…”

Section: Model Grid Setupmentioning

confidence: 99%

Guidance on Setup, Calibration, and Validation of Hydrodynamic, Wave, and Sediment Models for Shelf Seas and Estuaries

Williams

Esteves

2017

Advances in Civil Engineering

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e paper is motivated by a present lack of clear model performance guidelines for shelf sea and estuarine modellers seeking to demonstrate to clients and end users that a model is t for purpose. It addresses the common problems associated with data availability, errors, and uncertainty and examines the model build process, including calibration and validation. It also looks at common assumptions, data input requirements, and statistical analyses that can be applied to assess the performance of models of estuaries and shelf seas. Speci cally, it takes account of inherent modelling uncertainties and de nes metrics of performance based on practical experience. It is intended as a reference point both for numerical modellers and for specialists tasked with interpreting the accuracy and validity of results from hydrodynamic, wave, and sediment models.

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Section: Model Grid Setupmentioning

confidence: 99%

Guidance on Setup, Calibration, and Validation of Hydrodynamic, Wave, and Sediment Models for Shelf Seas and Estuaries

Williams

Esteves

2017

Advances in Civil Engineering

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“…Recently, Hoch et al (2017a) coupled PCR-GLOBWB (hereafter PCR) with the hydrodynamic model Delft3D Flexible Mesh (hereafter DFM; Kernkamp et al, 2011) for the Amazon River basin to integrate the hydrological and hydrodynamic processes occurring over the entire study area. Results indicate that spatially explicit coupling of hydrological and hydrodynamic models can improve the representation of inundation for all river reaches, not only those that are connected to upstream boundary conditions.…”

Section: Introductionmentioning

confidence: 99%

GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling

et al. 2017

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Abstract. We here present GLOFRIM, a globally applicable computational framework for integrated hydrologicalhydrodynamic modelling. GLOFRIM facilitates spatially explicit coupling of hydrodynamic and hydrologic models and caters for an ensemble of models to be coupled. It currently encompasses the global hydrological model PCR-GLOBWB as well as the hydrodynamic models Delft3D Flexible Mesh (DFM; solving the full shallow-water equations and allowing for spatially flexible meshing) and LISFLOOD-FP (LFP; solving the local inertia equations and running on regular grids). The main advantages of the framework are its open and free access, its global applicability, its versatility, and its extensibility with other hydrological or hydrodynamic models. Before applying GLOFRIM to an actual test case, we benchmarked both DFM and LFP for a synthetic test case. Results show that for sub-critical flow conditions, discharge response to the same input signal is near-identical for both models, which agrees with previous studies. We subsequently applied the framework to the Amazon River basin to not only test the framework thoroughly, but also to perform a first-ever benchmark of flexible and regular grids on a large-scale. Both DFM and LFP produce comparable results in terms of simulated discharge with LFP exhibiting slightly higher accuracy as expressed by a Kling-Gupta efficiency of 0.82 compared to 0.76 for DFM. However, benchmarking inundation extent between DFM and LFP over the entire study area, a critical success index of 0.46 was obtained, indicating that the models disagree as often as they agree. Differences between models in both simulated discharge and inundation extent are to a large extent attributable to the gridding techniques employed. In fact, the results show that both the numerical scheme of the inundation model and the gridding technique can contribute to deviations in simulated inundation extent as we control for model forcing and boundary conditions. This study shows that the presented computational framework is robust and widely applicable. GLOFRIM is designed as open access and easily extendable, and thus we hope that other large-scale hydrological and hydrodynamic models will be added. Eventually, more locally relevant processes would be captured and more robust model inter-comparison, benchmarking, and ensemble simulations of flood hazard on a large scale would be allowed for.

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“…The Delft3D Flexible Mesh (Delft3D FM) is a hydrodynamic and morphodynamic unstructured mesh, process-based model, based on finite volume approach (Kernkamp et al 2010;Deltares 2014). Delft3D FM allows for straightforward coupling of its hydrodynamic modules with a water-quality model, Delft3D-WAQ (DELWAQ) (Achete et al 2015).…”

Section: Model Descriptionmentioning

confidence: 99%

How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?

et al. 2017

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Suspended sediment concentration is an important estuarine health indicator. Estuarine ecosystems rely on the maintenance of habitat conditions, which are changing due to direct human impact and climate change. This study aims to evaluate the impact of climate change relative to engineering measures on estuarine fine sediment dynamics and sediment budgets. We use the highly engineered San Francisco Bay-Delta system as a case study. We apply a process-based modeling approach (Delft3D-FM) to assess the changes in hydrodynamics and sediment dynamics resulting from climate change and engineering scenarios. The scenarios consider a direct human impact (shift in water pumping location), climate change (sea level rise and suspended sediment concentration decrease), and abrupt disasters (island flooding, possibly as the results of an earthquake). Levee failure has the largest impact on the hydrodynamics of the system. Reduction in sediment input from the watershed has the greatest impact on turbidity levels, which are key to primary production and define habitat conditions for endemic species. Sea level rise leads to more sediment suspension and a net sediment export if little room for accommodation is left in the system due to continuous engineering works. Mitigation measures like levee reinforcement are effective for addressing direct human impacts, but less effective for a persistent, widespread, and increasing threat like sea level rise. Progressive adaptive mitigation measures to the changes in sediment and flow dynamics Climatic Change (2017) resulting from sea level rise may be a more effective strategy. Our approach shows that a validated process-based model is a useful tool to address long-term (decades to centuries) changes in sediment dynamics in highly engineered estuarine systems. In addition, our modeling approach provides a useful basis for long-term, process-based studies addressing ecosystem dynamics and health.

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Efficient scheme for the shallow water equations on unstructured grids with application to the Continental Shelf

Cited by 162 publications

References 18 publications

Guidance on Setup, Calibration, and Validation of Hydrodynamic, Wave, and Sediment Models for Shelf Seas and Estuaries

Guidance on Setup, Calibration, and Validation of Hydrodynamic, Wave, and Sediment Models for Shelf Seas and Estuaries

GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling

How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?

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