A simplified model for reservoir operation considering the water quality issues: application of the Young conflict resolution theory

Environmental Monitoring and Assessment
Ehsan ShirangiMahmood Shafai Bajestan

Abstract

In this study, an algorithm combining a multi-objective genetic algorithm (GA)-based optimization model and a water quality simulation model is developed for determining a trade-off curve between objectives related to the allocated water quantity and quality. To reduce the run-time of the GA-based optimization model, the main problem is decomposed to long-term and annual optimization models. The reliability of water supply is considered to be the objective function in the long-term stochastic optimization model, but the objective functions of the annual models are related to both the allocated water quantity and quality. The operating policies obtained using this long-term model provide the time series of the optimum reservoir water storages at the beginning and the end of each water year. In the next step, these optimal reservoir storage values are considered as constraints for water storage in the annual reservoir operation optimization models. The epsilon-constraint method is then used to develop a trade-off curve between the reliability of water supply and the average allocated water quality. The Young conflict resolution theory, which incorporates the existing conflicts among decision-makers and stakeholders, is used for s...Continue Reading

Citations

Jul 2, 2008·Environmental Monitoring and Assessment·Mohammad Hossein NiksokhanPedram Amin
Jul 25, 2009·Environmental Monitoring and Assessment·Najmeh Mahjouri, Mojtaba Ardestani
Feb 6, 2010·Environmental Monitoring and Assessment·Najmeh Mahjouri, Mojtaba Ardestani
Mar 20, 2010·Environmental Monitoring and Assessment·Yongyong ZhangMinghua Zhang
Jul 26, 2015·Environmental Monitoring and Assessment·Elham Feizi AshtianiShervin Jamshidi
Sep 11, 2020·Environmental Science and Pollution Research International·Masoomeh HaghighatMojtaba Sadegh

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