Aiming at the insufficiency of traditional water resources optimization that emphasizing water quantity while ignoring water quality, emphasizing economic water demand while ignoring ecological water requirements. Based on the theory of large scale system general optimization, the multi-objective water resources optimization model was proposed to optimize the water resources of Daqinghe in Haihe River Basin, in which the environmental water demand and water quality were considered. The mixed genetic simulated annealing algorithm was applied to solve the model. The results show that both domestic and environmental water demand can meet requirement at different guaranteed, system coordination degrees all over 0.84.
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