IberWQ: new simulation tool for 2D water quality modelling in rivers and shallow estuaries

Cea, Luís; Bermúdez, María; Puertas, Jerónimo; Castellet, Ernest Bladé i; Corestein, Georgina; Escolano, E.; Conde, André; Bockelmann-Evans, Bettina Nicole; Ahmadian, Reza

doi:10.2166/hydro.2016.235

Cited by 53 publications

(38 citation statements)

References 28 publications

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“…In this work, no bedload has been considered. The suspended sediment transport was modeled by solving the depth averaged turbulent convection‐diffusion equation , using the method described in Cea et al ().

\frac{\partial italichC}{\partial t} + \frac{\partial h U_{x} C}{\partial x} + \frac{\partial h U_{y} C}{\partial y} = \frac{\partial}{\partial x_{j}} ((), ((), normalΓ + \frac{{normalv}_{normalt}}{S_{c, t}}) h \frac{\partial C}{\partial x_{j}}) + ((), E - D)

Here C is the depth‐averaged concentration of suspended solids; U x and U y are the horizontal depth‐averaged velocity components; ν t is the turbulent viscosity; Г is the molecular diffusion coefficient for suspended solids; S c,t , is the Schmidt number, which relates the moment turbulent diffusion coefficient with the suspended turbulent diffusion coefficient; D is the deposition rate; and E is the entrainment rate.…”

Section: Methodsmentioning

confidence: 99%

“…The reader is referred to Bladé, Cea, & Corestein, Escolano, et al (2014) and the references therein for a detailed description and experimental validation of the numerical schemes used to solve the shallow water equations, which are not included in this paper for brevity. This hydraulic module has been applied to several studies in the past, including the river inundation modeling, overland flow (Cea & Bladé, 2015), evaluation of gully restoration measures (C. Castillo et al, 2014), wood transport in rivers (Ruiz-Villanueva et al, 2014), and water quality loss (Cea et al, 2016).…”

Section: Numerical Modelmentioning

confidence: 99%

“…In this work, no bedload has been considered. The suspended sediment transport was modeled by solving the depth averaged turbulent convection-diffusion equation (1), using the method described in Cea et al (2016).…”

Section: Numerical Modelmentioning

confidence: 99%

See 2 more Smart Citations

Computational Modeling of Fine Sediment Relocation Within a Dam Reservoir by Means of Artificial Flood Generation in a Reservoir Cascade

Castellet

Sánchez‐Juny

Bofill

et al. 2019

Water Resources Research

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Sediment relocation is a process where water turbulence moves deposits from shallower to deeper zones of a lake or reservoir. Additionally, in the context of a reservoir cascade relocation is a one of the possible sediment management strategies used to maintain the operational capacity of reservoirs. Numerical modeling tools applied to sediment dynamics can help to better understand the reservoir sedimentary processes and enhance the design of management strategies. This paper describes the detailed analysis of the cohesive sediment dynamics within a reservoir and a methodology for the calibration of numerical models for the management of sediment deposits through dam operation and upstream generation of artificial floods. The calibration process was based on an accumulated sediment volume curve and the usage of simplified models for an initial parameter estimation. The calibrated model has been applied to analyze different possibilities of sediment relocation strategies.

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\frac{\partial italichC}{\partial t} + \frac{\partial h U_{x} C}{\partial x} + \frac{\partial h U_{y} C}{\partial y} = \frac{\partial}{\partial x_{j}} ((), ((), normalΓ + \frac{{normalv}_{normalt}}{S_{c, t}}) h \frac{\partial C}{\partial x_{j}}) + ((), E - D)

Section: Methodsmentioning

confidence: 99%

Section: Numerical Modelmentioning

confidence: 99%

See 1 more Smart Citation

Computational Modeling of Fine Sediment Relocation Within a Dam Reservoir by Means of Artificial Flood Generation in a Reservoir Cascade

Castellet

Sánchez‐Juny

Bofill

et al. 2019

Water Resources Research

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“…It is a freely distributed numerical model for simulating turbulent free surface unsteady flow. It has been successfully used for a wide range of applications, including modeling of river flow and quality [39][40][41], geomorphic impacts of dam failure [12], sedimentation and flushing in reservoirs [42] or check dam hydraulics [43]. For a detailed description of model equations and numerical methods, the reader is referred to [26] and the references therein.…”

Section: Hydraulic Model Descriptionmentioning

confidence: 99%

Two-Dimensional Dam-Break Flood Analysis in Data-Scarce Regions: The Case Study of Chipembe Dam, Mozambique

Álvarez

Puertas

Peña

et al. 2017

Water

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This paper presents the results of a modeling study of the hypothetical dam break of Chipembe dam in Mozambique. The modeling approach is based on the software Iber, a freely available dam break and two-dimensional finite volume shallow water model. The shuttle radar topography mission (SRTM) online digital elevation model (DEM) is used as main source of topographic data. Two different DEMs are considered as input for the hydraulic model: a DEM based on the original SRTM data and a hydrologically-conditioned DEM. A sensitivity analysis on the Manning roughness coefficient is performed. The results demonstrate the relevant impact of the DEM used on the predicted flood wave propagation, and a lower influence of the roughness value. The low cost modeling approach proposed in this paper can be an attractive option for modeling exceptional flood caused by dam break, when limited data and resources are available, as in the presented case. The resulting flood-inundation and hazard maps will enable the Regional Water Management Administration of Mozambique (ARA) to develop early warning systems.

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“…For a detailed description of the model, the reader is referred to Bladé et al (2014), Cea et al (2016) and the references therein. Iber is a free software which is available for download at www.iberaula.es.…”

Section: Numerical Model Of the Reservoirmentioning

confidence: 99%

Hydraulic model study of the intake-outlet of a pumped-storage hydropower plant

Bermúdez

Cea

Puertas

et al. 2017

Engineering Applications of Computational Fluid Mechanics

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The design of intake-outlet structures for pumped-storage hydroelectric power plants requires sitespecific location and geometry studies in order to ensure their satisfactory hydraulic performance. This article presents the numerical and physical model studies conducted on the lower intake-outlet of Belesar III power station in Northwest Spain. The proposed location of this structure in a narrow reservoir and at a shallow depth is particularly challenging and required the analysis of both the near-field and far-field flow dynamics in the reservoir. First, the hydrodynamics of the reservoir were studied with a 2D shallow water model. The location of the intake was found to be suitable, with adequate flow conditions in the reservoir even for the lower operating water levels. The intake could be fed with the maximum pumping discharge without being limited by the reservoir's hydraulics. Second, the flow in the near-field was investigated by complementary use of 3-dimensional numerical simulations and reduced-scale physical modeling. The results allowed the verification of the submergence requirements and the comparison of geometry alternatives. In comparison with the initial design, the final proposed design shows a more symmetrical approach flow into the structure during pumping mode, resulting in a more homogenous flow distribution between the openings and reduced head loss. This study can provide guidance in the application of hydraulic modeling procedures to locate and design intake-outlet structures in existing lakes or reservoirs and to evaluate potential limitations on water levels, inflows and outflows. It can be useful during planning stages of power plants to aim for the shortest possible waterways between the reservoirs while ensuring adequate flow conditions. ARTICLE HISTORY

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IberWQ: new simulation tool for 2D water quality modelling in rivers and shallow estuaries

Cited by 53 publications

References 28 publications

Computational Modeling of Fine Sediment Relocation Within a Dam Reservoir by Means of Artificial Flood Generation in a Reservoir Cascade

Computational Modeling of Fine Sediment Relocation Within a Dam Reservoir by Means of Artificial Flood Generation in a Reservoir Cascade

Two-Dimensional Dam-Break Flood Analysis in Data-Scarce Regions: The Case Study of Chipembe Dam, Mozambique

Hydraulic model study of the intake-outlet of a pumped-storage hydropower plant

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