Application of an Optimization/Simulation Model for Real-Time Flood-Control Operation of River-Reservoirs Systems

Che, Daniel; Mays, Larry W.

doi:10.1007/s11269-017-1644-3

Cited by 32 publications

(13 citation statements)

References 1 publication

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“…In terms of a flood control dispatching algorithm, a simulation-based optimization algorithm has been increasingly adopted by researchers in the field of flood control dispatching to deal with uncertain, nonlinear, discrete, complex, constrained, and conflicting optimization objectives in reservoir systems [40]. Che, D. established a real-time river-reservoir flood simulation and control optimization model, which was applied to the Cumberland River at Nashville, Tennessee, and was able to reduce the flood level below the 100-year flood stage by simulating the flood discharge scheduling [41]. Prakash, O. proposed an adaptive simulation-optimization (S-O) framework to simulate flood dispatching decisions at different stages by combining multi-objective optimization models [42].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Allocation of Flood Drainage Rights of the Sunan Canal Based on a Bi-level Multi-Objective Programming Model

Zhang

Shen

Sun

et al. 2019

Water

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To reduce flood disasters and optimize of the comprehensive benefit of the water basin, the allocation of regional flood drainage rights is of great significance. Using the “top-down” allocation mode, we consider the influence of the social, economic, and ecological environments, flood drainage demand and efficiency, and other factors on the allocation of flood drainage rights. A bi-level multi-objective programming model from the perspective of fairness and efficiency is established for the allocation. The Sunan Canal is taken as a typical case study. The model is solved by the multi-objective optimal allocation method and the master–slave hierarchical interactive iteration algorithm. After three iterations of the initial solution, the allocation of flood drainage rights in six flood control regions finally reach an effective state. The results of the model were compared with results based on historical allocation principles, showing that the bi-level multi-objective programming model, based on the principles of fairness and efficiency, is more in line with the current social and economic development of the canal. In view of the institutional background of water resources management in China and the flood drainage pressure faced by various regions, the allocation of flood drainage rights should be comprehensively considered in combination with various factors, and the market mechanism should be utilized to optimize the allocation.

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Section: Literature Reviewmentioning

confidence: 99%

Research on the Allocation of Flood Drainage Rights of the Sunan Canal Based on a Bi-level Multi-Objective Programming Model

Zhang

Shen

Sun

et al. 2019

Water

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“…In particular, the storm flood in July 21st 2012 caused considerable economic and social losses in south-eastern Beijing. Flood scheduling systems provide effective support for flood-control policy-making and technical support to reduce harm and losses of flood disasters [1][2][3][4][5]. Therefore, the Water Supplies Bureau of Beijing began to build flood control operation system for major river basins in Beijing, constructed a flood simulation and operation system for Beijing, which was used during the flood season in 2018.…”

Section: Introductionmentioning

confidence: 99%

Research and application of the flood simulation and operation model in Beijing

et al. 2020

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This study built a coupling model of hydrology and hydrodynamics for flood forecasting and reservoir-dam joint scheduling. And using HTML5, java, and WebGIS technology, developed a flood control operation system based on B/S framework for Beijing, integrated real-time information and fundamental information of metrology, rainfall, water flow, engineering situation, and waterlogging of Beijing. Through verification, the system has been successfully adopted to analyze the 2018 Ampil typhoon and provide a scientific basis for reservoirs operation including Yaoqiaoyu, Shachang, Haizi, ensuring safety of the reservoirs and reducing the economic loss of downstream area of reservoir.

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“…An optimization-based approach is typically required for the optimal operation of a reservoir system, in order to obtain the optimal solutions to support the decision-making process [4]. The developments in real-time control of a reservoir system have been extensively explored in past literature, and generally focus on optimal operation [5][6][7] and flood control, based on pre-defined operation rules and offline approaches [8][9][10]. Recently, a proactive and online control strategy, the so-called Model Predictive Control (MPC) approach [11][12][13], has been widely applied in water resources management to control various water systems, such as irrigation systems [14][15][16] and drainage systems [17,18].…”

Section: Introductionmentioning

confidence: 99%

Flood Mitigation through Optimal Operation of a Multi-Reservoir System by Using Model Predictive Control: A Case Study in Myanmar

Lin

Rutten

Tian

2018

Water

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Managing a multi-reservoir system is complicated, due to conflicting interests among various objectives. This study proposes an optimization-based approach for the operations of a multi-reservoir system. An advanced real-time control technique, Model Predictive Control (MPC), is adopted to control a multi-reservoir system with two control objectives, i.e., flood mitigation and water conservation. The case study area is the Sittaung River basin in Myanmar, where the current reservoir operating rule needs to be improved for a more effective operation. A comparison between an MPC-based operation and the current operation is presented by using performance indicators. The result shows a reduction of the system’s vulnerability by 0.9 percent using MPC. Due to the physical constraint of the reservoirs, it is impossible to completely eliminate the flood risk at Taungoo City during high inflow events. However, the results indicate that the potential flood risk can be mitigated by improving the current operating rule.

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Application of an Optimization/Simulation Model for Real-Time Flood-Control Operation of River-Reservoirs Systems

Cited by 32 publications

References 1 publication

Research on the Allocation of Flood Drainage Rights of the Sunan Canal Based on a Bi-level Multi-Objective Programming Model

Research on the Allocation of Flood Drainage Rights of the Sunan Canal Based on a Bi-level Multi-Objective Programming Model

Research and application of the flood simulation and operation model in Beijing

Flood Mitigation through Optimal Operation of a Multi-Reservoir System by Using Model Predictive Control: A Case Study in Myanmar

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