Unsteady Stage-Discharge Relationships for Sharp-Crested Weirs

Ghasemzadeh, Firouz; Kouchakzadeh, S.; Belaud, Gilles

doi:10.1061/(asce)ir.1943-4774.0001468

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…These optimization techniques include differential evolution (DE) [37], multi-objective optimization algorithms [38][39][40], and artificial intelligence (AI) models such as neural network (NN), fuzzy, and adaptive neuro-fuzzy inference system (ANFIS) algorithms [41]. Although stochastic models ensure that certain levels of unpredictability and uncertainties exist in inflow hydrographs that pass through the detention basins, which are significant in combating the risks of floods [42][43][44][45], they have received little attention in the literature. Moreover, stochastic models are more beneficial for designing detention basins than deterministic models because they supplement uncertainties inherent in natural flood events since floods are stochastic processes [46][47][48].…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Conflict Resolution Optimization Model for Flood Management in Detention Basins: Application of Fuzzy Graph Model

Nematollahi

Bakhtiari

Talebbeydokhti

et al. 2022

Water

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Floods are a natural disaster of significant concern because of their considerable damages to people’s livelihood. To this extent, there is a critical need to enhance flood management techniques by establishing proper infrastructure, such as detention basins. Although intelligent models may be adopted for flood management by detention basins, there is a literature gap on the optimum design of such structures while facing flood risks. The presented study filled this research gap by introducing a methodology to obtain the optimum design of detention basins using a stochastic conflict resolution optimization model considering inflow hydrographs uncertainties. This optimization model was developed by minimizing the conditional value-at-risk (CvaR) of flood overtopping, downstream flood damage, and deficit risk of water demand, as well as the deviation of flood overtopping and downstream damage based on non-linear interval number programming (NINP), for four different outlets types via a robust optimization tool, namely the non-dominated sorting genetic algorithm-III (NSGA-III). Conflict resolution was performed using the graph model for conflict resolution (GMCR) technique, enhanced by fuzzy preferences, to comply with the authorities’ priorities. Results indicated that the proposed framework could effectively design optimum detention basins consistent with the regional and hydrological standards.

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Section: Introductionmentioning

confidence: 99%

A Stochastic Conflict Resolution Optimization Model for Flood Management in Detention Basins: Application of Fuzzy Graph Model

Nematollahi

Bakhtiari

Talebbeydokhti

et al. 2022

Water

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“…Moreover, their use could be affected by the non-achievement of a steady state condition [26] that determines a variation of the water level gauge measurement. Indeed, when the flow departs significantly from the steady flow state, the simple stage-discharge relation is no longer sufficient to define the discharge [27].…”

Section: Introductionmentioning

confidence: 99%

Dimensionless Stage-Discharge Relationship for a Non-Linear Water Reservoir: Theory and Experiments

Baiamonte

2020

Hydrology

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In the field of hydrology, stage–discharge relationships are commonly used to estimate the discharge at the basin outlet or by experimental plots. Many experimental efforts have been made in order to derive stage–discharge relationships, according to the Buckingham theorem and dimensional analysis, for a multiplicity of gauge geometry. However, these relationships require experimental and physical meaningless numerical coefficients, thus they need extended calibration. The latter issue merits attention, since the empirical coefficients can be applied when the experimental conditions are strictly reproduced in the field. The aim of this paper is to derive a theoretically based stage–discharge relationship of a non-linear water reservoir that requires limited calibration, by using the continuity equation and the principle of conservation of energy. An analysis was performed using a rectangular water tank with a hole at the bottom. However, the suggested approach can be similarly used for tank geometries that differ from the example used in this study. Since the proposed approach is purely hydraulic, only limited calibration of the physical meaningful discharge coefficient characteristic of the hole is needed. A tank design procedure is suggested, and different theoretical and experimental applications of the proposed methodology are performed and discussed. For the considered cases, the mass water balance was also checked.

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Discharge Coefficient Calibrations of Normal and Oblique Circular-Crested Weirs Under Incremental Flow Conditions

Mahdavi,

Izadinia,

Khoshfetrat

2023

Iran J Sci Technol Trans Civ Eng

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Unsteady Stage-Discharge Relationships for Sharp-Crested Weirs

Cited by 5 publications

References 16 publications

A Stochastic Conflict Resolution Optimization Model for Flood Management in Detention Basins: Application of Fuzzy Graph Model

A Stochastic Conflict Resolution Optimization Model for Flood Management in Detention Basins: Application of Fuzzy Graph Model

Dimensionless Stage-Discharge Relationship for a Non-Linear Water Reservoir: Theory and Experiments

Discharge Coefficient Calibrations of Normal and Oblique Circular-Crested Weirs Under Incremental Flow Conditions

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