Coupled modeling of hydrologic and hydrodynamic processes including overland and channel flow

Kim, Jong-Ho; Warnock, A.; Ivanov, V. Y.; Katopodes, Nikolaos D.

doi:10.1016/j.advwatres.2011.11.009

Cited by 135 publications

(120 citation statements)

References 75 publications

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“…If inflows are obtained by hydrologic modelling, we can call it a hydrologic and hydraulic model coupling. Some examples of coupling have already been detailed in the literature (see, for example, Knebl et al, 2005;Whiteaker et al, 2006;Lian et al, 2007;Biancamaria et al, 2009;Bonnifait et al, 2009;Montanari et al, 2009;Mejia and Reed, 2011;Kim et al, 2012;Lerat et al, 2012). A single application concerns a catchment prone to fast floods: the study of Bonnifait et al (2009), which proposes a coupling of the hydrologic n-TOPMODELs model to the CARIMA hydraulic model.…”

Section: O Laganier Et Al: a Coupling Of Hydrologic And Hydraulic Mmentioning

confidence: 99%

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A coupling of hydrologic and hydraulic models appropriate for the fast floods of the Gardon River basin (France)

Laganier¹,

Ayral²,

Salze³

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. Mediterranean catchments are regularly affected by fast and flash floods. Numerous hydrologic models have been developed, and allow modelling of these floods. However, these approaches often concern average-size basins of a few hundred km 2 . At larger scales (> 1000 km 2 ), coupling of hydrologic and hydraulic models appears to be an adapted solution. This study has as its first objective the evaluation of the performances of a coupling of models for flood hydrograph modelling. Secondly, the coupling results are compared with those of other modelling options. The aim of these comparisons is to clear up the following points. (1) Is a simplified routing model (lag and route) as efficient as a full hydraulic model for the modelling of hydrographs, in the intermediary downstream part of the stream? (2) Is adding lateral inflows necessary for all studied events? (3) What is the impact of the qualities of upstream hydrologic modelling feeding the coupling? The coupling combines the SCS-LR (Soil Conservation Service-lag-and-route) hydrologic model of the ATHYS platform and the MASCARET 1-D hydraulic model based on full Saint-Venant equations. It is applied to the Gardon River basin (2040 km 2 ) in the south of France. For the seven studied events, the results of the coupling are satisfactory, the calculated Nash indexes varying between 0.61 and 0.97. The comparisons with the other modelling options show the important role of the spatial distribution of rains during events: when rains are centered on the intermediary downstream part of the catchment, adding lateral inflows is necessary; when rains are more important in the upstream part, the quality of the hydrologic modelling upstream of the coupling has a strong impact. Furthermore, the used coupling of models seems well adapted for water rising and flooded area forecasting. The future developments of the tool will concentrate on this point.

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Section: O Laganier Et Al: a Coupling Of Hydrologic And Hydraulic Mmentioning

confidence: 99%

“…At each time step of the modelling, both models are made consistent, according to a complex procedure. An example of this approach to coupling is detailed by Kim et al (2012). In this study, an external coupling of models was chosen.…”

Section: The Choice Of the Type Of Couplingmentioning

confidence: 99%

A coupling of hydrologic and hydraulic models appropriate for the fast floods of the Gardon River basin (France)

Laganier¹,

Ayral²,

Salze³

et al. 2014

Nat. Hazards Earth Syst. Sci.

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“…In fact, hydrological-hydrodynamic coupling was already applied in a number of studies (Biancamaria et al, 2009;Kim et al, 2012;Lian et al, 2007;. For example, output from hydrological or landsurface models was used as input to the 1-D/2-D hydrodynamic model LISFLOOD-FP (Bates et al, 2010;Bates and de Roo, 2000) at a number of locations.…”

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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“…Coarse and often steeply sloped computational cells are often employed for computational efficiency. This leads to the frequent occurrence of partially wetted cells that cause a no-flow phenomenon where water is unable to leave a cell because of ponding in the lowest corner of a cell where the water surface elevation is below the two nearest cell edge midpoints (Begnudelli et al, 2006;Kim et al, 2012;Warnock et al, 2014). Also, the typical assumption made in many hydraulic models that the water surface elevation at the centroid is equal to the water depth plus the elevation of the centroid of the cell does not hold for partially wetted cells.…”

Section: A4 Wetting and Dryingmentioning

confidence: 99%

“…Tracking of the wetting front at the boundaries between wet and dry cells in hydraulic models is important because of the numerical instabilities that would arise from the unrealistically high velocities that would be calculated by dividing volumetric fluxes by the small water depths in dry cells (Kim et al, 2012). Many approaches have been proposed for the proper treatment of wetting and drying cells in hydraulic models, including the thin film, element removal, depth extrapolation, and negative depth algorithms as discussed by (Medeiros and Hagen, 2013).…”

Section: A4 Wetting and Dryingmentioning

confidence: 99%

Advancing the Open Modeling Interface (OpenMI) for integrated water resources modeling

Buahin

Horsburgh

2018

Environmental Modelling & Software

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A B S T R A C TThe use of existing component-based modeling frameworks for integrated water resources modeling is currently hampered for some important use cases because they lack support for commonly used, topology-aware, spatiotemporal data structures. Additionally, existing frameworks are often accompanied by large software stacks with steep learning curves. Others lack specifications for deploying them on high performance, heterogeneous computing (HPC) infrastructure. This puts their use beyond the reach of many water resources modelers. In this paper, we describe new advances in component-based modeling using a framework called HydroCouple. This framework largely adopts the Open Modeling Interface (OpenMI) 2.0 interface definitions but demonstrates important advances for water resources modeling. HydroCouple explicitly defines standard and widely used geospatial data formats and provides interface definitions to support simulations on HPC infrastructure. In this paper, we illustrate how these advances can be used to develop efficient model components through a coupled urban stormwater modeling exercise.

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Coupled modeling of hydrologic and hydrodynamic processes including overland and channel flow

Cited by 135 publications

References 75 publications

A coupling of hydrologic and hydraulic models appropriate for the fast floods of the Gardon River basin (France)

A coupling of hydrologic and hydraulic models appropriate for the fast floods of the Gardon River basin (France)

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

Advancing the Open Modeling Interface (OpenMI) for integrated water resources modeling

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