Abstract
The paper demonstrates a simulation optimization framework for enhancing the real-time flood control with gated spillways at places where no flood forecasting data are available. A multiobjective modeling scheme is presented for the flood management in a gated spillway in which the operator may specify the priorities on floods based on their different return periods. Two different operation strategies were devised. Both operating strategies employ ten-stage policies, which rely on the reservoir water level as the input data. The second strategy benefits from both the observed reservoir water level and the flood peak. The optimal values of the models’ parameters were obtained using a genetic algorithm. This is a novel approach because none of its policies needs flood forecasting data, thus, making them adaptable to any flood with any return period. To evaluate the performances of the proposed models, the flood control through a gated spillway of the Karkheh reservoir was considered, where flood hydrographs with different return periods were routed through the reservoir.
Highlights
Introduction by Gated SpillwayApplication to Reservoir flood control and management can be categorized as real-time operation problems, and significantly differ from long-term planning and operation
This research was launched to simulate an operational model of the spillway gates by two different approaches to enhance flood control using an improved gate operation strategy
The flood management by gate opening was considered as a multiobjective optimization problem in which the operator may wish to minimize the flood damage for all floods with different probabilities of occurrence
Summary
Introduction by Gated SpillwayApplication to Reservoir flood control and management can be categorized as real-time operation problems, and significantly differ from long-term planning and operation. Most of the existing models benefit from flood forecasting and data external to the reservoir in one way or another In this category, [1] developed and applied a model for the real-time optimal flood operation of river reservoir systems by using a combination of a nonlinear programming model and a flood-routing simulation model within an optimal control framework. Braga and Barbosa [2] developed a linear programming (LP) deterministic optimization model to solve the problem of flood control in real time for a multireservoir operation system benefiting the Muskingum method of channel routing. Using the balanced water level index in a real optimization operation procedure, [3] integrated a hydrologic forecasting model with a reservoir operation scheme to determine the reservoir releases during a flood at each time step
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