Coupling large-scale hydrological and hydrodynamic modeling: Toward a better comprehension of watershed-shallow lake processes

Munar, Andrés Maurício; Cavalcanti, J. Rafael; Bravo, Juan Martín; Fan, Fernando Mainardi; Marques, David da Motta; Fragoso, Carlos Ruberto

doi:10.1016/j.jhydrol.2018.07.045

Cited by 72 publications

(45 citation statements)

References 89 publications

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“…This method is a black box type and is not based on hydraulic equations of open channel flow. It says nothing about the spatial variability of inflow, outflow and storage[14][15][16][17].…”

mentioning

confidence: 99%

Muskingum Method with Variable Parameter Estimation

Alhumoud¹,

Almashan²

2019

MMEP

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Muskingum method has been continuously receiving attention from the researchers for several reasons. It is a simple method, which can be used for flood routing without much complication as far as the procedural details are concerned. In addition, its parameters can be calculated using the record of past historical floods. It does not require a knowledge of the river bed geometry as the phenomenon can be reproduced well enough on the basis of the calibration carried out using experimental data relative to the extreme sections of most significantly long reaches. In this study, we have studied the applicability of linear and nonlinear Muskingum models on linear and nonlinear flood data. For the linear model three different methods were used to compare the accuracy of the actual and estimated outflow. The methods are: trial and error, least square, and direct optimization method. Subsequently, we have routed the flows based on the estimated parameters to compare the performance of these models. The results suggest a very good fit.

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“…This method is a black box type and is not based on hydraulic equations of open channel flow. It says nothing about the spatial variability of inflow, outflow and storage[14][15][16][17].…”

mentioning

confidence: 99%

Muskingum Method with Variable Parameter Estimation

Alhumoud¹,

Almashan²

2019

MMEP

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“…In these cases, a further model refinement could be implemented, and in the specific case of 2D fluxes, the inertial equations could be considered, since they have been successfully applied for the simulation of some shallow lakes with the LISFLOOD-FP (e.g., Neal et al (2012); Rudorff et al (2014)) and MGB (Lopes et al 2018) models. Some researchers have also coupled 1D river models to 2D lake models (Dargahi and Setegn 2011;Li et al 2014;Zhang et al 2017;Lopes et al 2018;Munar et al 2018;Tanaka et al 2018), or even to 3D ones (Wu et al 2017).…”

Section: Discussion: Toward Large-scale Coupling Of Hydrodynamics Hymentioning

confidence: 99%

Modeling the role of reservoirs versus floodplains on large-scale river hydrodynamics

et al. 2019

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Large-scale hydrologic-hydrodynamic models are powerful tools for integrated water resources evaluation at the basin scale, especially in the context of flood hazard assessment. However, recent model developments have paid little attention to simulate reservoirs' hydrodynamics within river networks. This study presents an adaptation of the MGB model to simulate reservoirs as an internal boundary condition, enabling the explicit simulation of hydrodynamic processes along reservoirs and their interaction with upstream and downstream floodplains in large basins. A case study is carried out in the Itajaí-Açu River Basin in Brazil, which has periodic flood-related disasters and three flood control dams. The model was calibrated for the 1950-2016 period forced with daily observed precipitation. The adjustment was satisfactory, with Nash-Sutcliffe metrics between 0.54 and 0.84 for the 11 gauges analyzed and with flood frequency curves also well represented. Simulation scenarios with and without floodplains and reservoirs were performed to evaluate the relative role of these factors on flood control basin-wide through evaluation of simulated discharges, water levels and flood extent. Itajaí do Oeste tributary and Itajaí-Açu mainstem present major floodplain attenuation, while in Itajaí do Sul and Itajaí do Norte tributaries the main flood control occurs due to reservoir attenuation. Downstream from the dams, results indicated that the reservoirs reach their maximum discharge reduction capacity for 5-to 10-year floods, decreasing it for larger floods. The developed model may be very useful for operational uses as flood forecasting and coordinated reservoir operation studies, as well as to enhance the comprehension of flood dynamics at basin scale.

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“…When a simple hydrostatic approach is considered, Equation 3is neglected and q is assumed to be equal to zero in Equations (1) and (2). In this case, it is assumed that the vertical acceleration does not have a significant effect on the velocity field in comparison with the horizontal acceleration, which is the assumption usually applied for simulation of shallow waters (see, e.g., in [36][37][38][39]).…”

Section: Governing Equationsmentioning

confidence: 99%

Combined Use of High-Resolution Numerical Schemes to Reduce Numerical Diffusion in Coupled Nonhydrostatic Hydrodynamic and Solute Transport Model

Cunha

Fragoso

Tavares

et al. 2019

Water

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In three-dimensional simulations of free-surface flow where the vertical velocities are relevant, such as in lakes, estuaries, reservoirs, and coastal zones, a nonhydrostatic hydrodynamic approach may be necessary. Although the nonhydrostatic hydrodynamic approach improves the physical representation of pressure, acceleration and velocity fields, it is not free of numerical diffusion. This numerical issue stems from the numerical solution employed in the advection and diffusion terms of the Reynolds-averaged Navier–Stokes (RANS) and solute transport equations. The combined use of high-resolution schemes in coupled nonhydrostatic hydrodynamic and solute transport models is a promising alternative to minimize these numerical issues and determine the relationship between numerical diffusion in the two solutions. We evaluated the numerical diffusion in three numerical experiments, for different purposes: The first two experiments evaluated the potential for reducing numerical diffusion in a nonhydrostatic hydrodynamic solution, by applying a quadratic interpolator over a Bilinear, applied in the Eulerian–Lagrangian method (ELM) step-ii interpolation, and the capability of representing the propagation of complex waves. The third experiment evaluated the effect on numerical diffusion of using flux-limiter schemes over a first-order Upwind in solute transport solution, combined with the interpolation methods applied in a coupled hydrodynamic and solute transport model. The high-resolution methods were able to substantially reduce the numerical diffusion in a solute transport problem. This exercise showed that the numerical diffusion of a nonhydrostatic hydrodynamic solution has a major influence on the ability of the model to simulate stratified internal waves, indicating that high-resolution methods must be implemented in the numerical solution to properly simulate real situations.

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Coupling large-scale hydrological and hydrodynamic modeling: Toward a better comprehension of watershed-shallow lake processes

Cited by 72 publications

References 89 publications

Muskingum Method with Variable Parameter Estimation

Muskingum Method with Variable Parameter Estimation

Modeling the role of reservoirs versus floodplains on large-scale river hydrodynamics

Combined Use of High-Resolution Numerical Schemes to Reduce Numerical Diffusion in Coupled Nonhydrostatic Hydrodynamic and Solute Transport Model

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