Regional scale hydrodynamic modeling of the river-floodplain-reservoir continuum

Fleischmann, Ayan Santos; Brêda, João Paulo Fialho; Passaia, Otávio Augusto; Wongchuig, Sly; Fan, Fernando Mainardi; Paiva, Rodrigo Cauduro Dias de; Marques, Guilherme Fernandes; Collischonn, Walter

doi:10.1016/j.jhydrol.2021.126114

Cited by 26 publications

(13 citation statements)

References 118 publications

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“…The river reaches where larger reservoir effect was found are consistent with the results in Fleischmann et al. (2021), which performed large‐scale hydrodynamic simulations with the reservoirs in the Paraná basin. The results imply that multiple dams have a large impact on inundation depth mitigation by attenuating discharge during floods.…”

Section: Resultssupporting

confidence: 89%

“…A considerable reduction in the flood depth (≧0.5 m) can be observed in several grids just downstream of some dams, including the Furnas Dam (indicated by a red arrow in the figure). The river reaches where larger reservoir effect was found are consistent with the results in Fleischmann et al (2021), which performed large-scale hydrodynamic simulations with the reservoirs in the Paraná basin. The results imply that multiple dams have a large impact on inundation depth mitigation by attenuating discharge during floods.…”

Section: A Sensitivity Analysis On the Introduction Of The Release Co...supporting

confidence: 86%

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Development of a Reservoir Flood Control Scheme for Global Flood Models

Hanazaki

Yamazaki

Yoshimura

2022

J Adv Model Earth Syst

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Integrating reservoir flood control operations in global flood forecasting systems is important for accurately estimating discharge and other variables. Because existing modeling operational rules and parameters do not reflect the actual variability due to a lack of associated data, globally applicable modeling of flood regulation needs to be studied further. In this study, we developed a flood control operation scheme with refined parameters and algorithms to tackle this problem. We used recently developed objective data sets of reservoir dynamics to more realistically estimate different reservoir parameters, such as flood storage capacity. Furthermore, the algorithm for the operational rule was modified by introducing a new release coefficient such that the peak attenuation depended on the reservoir's ability to regulate floods. The operation scheme for 2,169 dams was introduced into the CaMa‐Flood global hydrodynamic model. Compared to the simulation without reservoirs, the Nash‐Sutcliffe Efficiency and peak discharge error in the daily river discharge improved at 62.2% and 49.9% of the gauges, respectively, after the integration. Compared to the parameter estimated by a method in previous studies, the newly estimated flood storage capacity parameters reduced the peak discharge error at 47% of the gauges downstream of the reservoirs where the flood storage capacity ratio is small (≤50%). Furthermore, the modification of operational rules had the effect of mitigating people exposed to flooding by ∼10%. This study informs the integration and the refinements of the reservoir operation scheme to improve global flood simulation and forecasting.

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Section: Resultssupporting

confidence: 89%

Section: A Sensitivity Analysis On the Introduction Of The Release Co...supporting

confidence: 86%

Development of a Reservoir Flood Control Scheme for Global Flood Models

Hanazaki

Yamazaki

Yoshimura

2022

J Adv Model Earth Syst

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“…The implementation of a multilayer approach could reduce the errors associated with a simplified representation of soil water dynamics [80]. Furthermore, the employed model setup does not represent basin-wide anthropogenic impacts as irrigation schemes and reservoirs, and if performed this may especially enhance the representation of river discharges, which are largely affected by reservoirs in its downstream reaches [81]. To overcome this issue, here we have used only in situ river discharge data in non-regulated reaches, while for regulated reaches we have adopted the naturalized flows estimated by ONS.…”

Section: Uncertainties In Mgb and Smos Rzsmmentioning

confidence: 99%

Synergistic Calibration of a Hydrological Model Using Discharge and Remotely Sensed Soil Moisture in the Paraná River Basin

et al. 2021

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Hydrological models are useful tools for water resources studies, yet their calibration is still a challenge, especially if aiming at improved estimates of multiple components of the water cycle. This has led the hydrologic community to look for ways to constrain models with multiple variables. Remote sensing estimates of soil moisture are very promising in this sense, especially in large areas for which field observations may be unevenly distributed. However, the use of such data to calibrate hydrological models in a synergistic way is still not well understood, especially in tropical humid areas such as those found in South America. Here, we perform multiple scenarios of multiobjective model optimization with in situ discharge and the SMOS L4 root zone soil moisture product for the Upper Paraná River Basin in South America (drainage area > 900,000 km²), for which discharge data for 136 river gauges are used. An additional scenario is used to compare the relative impacts of using all river gauges and a small subset containing nine gauges only. Across the basin, the joint calibration (CAL-DS) using discharge and soil moisture leads to improved precision and accuracy for both variables. The discharges estimated by CAL-DS (median KGE improvement for discharge was 0.14) are as accurate as those obtained with the calibration with discharge only (median equal to 0.14), while the CAL-DS soil moisture retrieval is practically as accurate (median KGE improvement for soil moisture was 0.11) as that estimated using the calibration with soil moisture only (median equal to 0.13). Nonetheless, the individual calibration with discharge rates is not able to retrieve satisfactory soil moisture estimates, and vice versa. These results show the complementarity between these two variables in the model calibration and highlight the benefits of considering multiple variables in the calibration framework. It is also shown that, by considering only nine gauges instead of 136 in the model optimization, the model is able to estimate reasonable discharge and soil moisture, although relatively less accurately and with less precision than for the entire dataset. In summary, this study shows that, for poorly gauged tropical basins, the joint calibration of SMOS soil moisture and a few in situ discharge gauges is capable of providing reasonable discharge and soil moisture estimates basin-wide and is more preferable than performing only a discharge-oriented optimization process.

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“…Thus, the river sub-network upstream of a reservoir used the reservoir inflow as the downstream flowrate for determining the headwater inflows, and the river sub-network downstream of a reservoir used the flow data from the reservoir outlet as an upstream inflow into the main stem. Using reservoir/dam as a natural internal boundary condition for connecting adjacent river networks is a common engineering practice in large-scale river modeling research [46]. Six out of eight subdividing points are selected based on active USGS gauges at/below the reservoir locations.…”

Section: Brazos (A) Brazos (B) Brazos (C)mentioning

confidence: 99%

Automated Detection of Instability-Inducing Channel Geometry Transitions in Saint-Venant Simulation of Large-Scale River Networks

Hodges

Liu

2021

Water

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A new sweep-search algorithm (SSA) is developed and tested to identify the channel geometry transitions responsible for numerical convergence failure in a Saint-Venant equation (SVE) simulation of a large-scale open-channel network. Numerical instabilities are known to occur at “sharp” transitions in discrete geometry, but the identification of problem locations has been a matter of modeler’s art and a roadblock to implementing large-scale SVE simulations. The new method implements techniques from graph theory applied to a steady-state 1D shallow-water equation solver to recursively examine the numerical stability of each flowpath through the channel network. The SSA is validated with a short river reach and tested by the simulation of ten complete river systems of the Texas–Gulf Coast region by using the extreme hydrological conditions recorded during hurricane Harvey. The SSA successfully identified the problematic channel sections in all tested river systems. Subsequent modification of the problem sections allowed stable solution by an unsteady SVE numerical solver. The new SSA approach permits automated and consistent identification of problem channel geometry in large open-channel network data sets, which is necessary to effectively apply the fully dynamic Saint-Venant equations to large-scale river networks or for city-wide stormwater networks.

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Regional scale hydrodynamic modeling of the river-floodplain-reservoir continuum

Cited by 26 publications

References 118 publications

Development of a Reservoir Flood Control Scheme for Global Flood Models

Development of a Reservoir Flood Control Scheme for Global Flood Models

Synergistic Calibration of a Hydrological Model Using Discharge and Remotely Sensed Soil Moisture in the Paraná River Basin

Automated Detection of Instability-Inducing Channel Geometry Transitions in Saint-Venant Simulation of Large-Scale River Networks

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