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Operation of storage reservoir for water quality by using optimization and artificial intelligence techniques

Paulo Chaves, Tsuneo Tsukatani () and Toshiharu Kojiri

Mathematics and Computers in Simulation (MATCOM), 2004, vol. 67, issue 4, 419-432

Abstract: Water quantity and quality are considered to be the main driving forces of the reservoir operation. Barra Bonita reservoir, located in the southeast region of Brazil, is chosen as the case study for the application of the proposed methodology. Herein, optimization and artificial intelligence (AI) techniques are applied in the simulation and operation of the reservoir. A fuzzy stochastic dynamic programming model (FSDP) is developed for calculating the optimal operation procedures. Optimization is applied to achieve multiple fuzzy objectives. Markov chain technique is applied to handle the stochastic characteristics of river flow. Water quality analysis is carried out using an artificial neural network model. Organic matter and nutrient loads are modeled as a function of river discharge through the application of a fuzzy regression model based on fuzzy performance functions. The obtained results show that the proposed methodology provides an effective and useful tool for reservoir operation.

Keywords: Fuzzy regression; Artificial neural networks; Fuzzy stochastic dynamic programming; Uncertainty; Water quality (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:67:y:2004:i:4:p:419-432

DOI: 10.1016/j.matcom.2004.06.005

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