Multi-Objective Ecological Operation Model for Reservoirs and its Application

Abstract:

Traditional reservoir operation is mainly for flood control and promoting benefits, which ecological factors are not fully considered in. This would probably lead to degradation of river ecosystem. In order to alleviate the influence of reservoirs on river ecosystem, a multi-objective ecological operation model for reservoirs was established. Then, a novel approach was proposed to solve the multi-objective model, which combined a multi-objective particle swarm optimization (MOPSO) algorithm with the non-dominated solutions evaluation approach. MOPSO algorithm was introduced to generate a set of Pareto-optimal solutions, while the non-dominated solutions evaluation approach, based on k-means clustering and the information entropy method, was adopted to provide an alternative sequence for a set of Pareto-optimal solutions. Finally, the proposed approach was applied to the ecological operation of the reservoirs at the main stream of Xiuhe river in Poyang Lake basin in China. The results show that the proposed approach is able to offer the quantifiable benefits or costs among different objectives for the reservoir operators, and can provide a useful tool for decision makers to solve multi-objective water resources and hydrology problems.

• Periodical: Applied Mechanics and Materials (Volumes 675-677)
• Pages: 801-805
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.675-677.801
• Online since: October 2014
• Authors: Li Na Liu*, Wei Lin Liu
• Keywords: Ecological Operation, Information Entropy, Multi-Objective Particle Swarm Algorithm, Reservoirs

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