Research on Control Strategy of Urban Rainwater System Based on Multi-objective Optimization
With the development of economy and society,the improvement of refined management level of urban water systems has put forward higher requirements for the operation control of drainage systems.The traditional operation management mode of drainage system is often based on a single performance objective,and the operational experience determines the control strategy of the system.There is the insufficient consideration for the complexity and multi-functionality of the drainage system.The random sampling,drainage hydraulic model and non-dominated genetic algorithm are integrated to build a multi-objective optimization algorithm for control strategies of rainwater system.Taking a drainage zone in Shanghai as a case,the empirical research is conducted.The research effects can provide the scientific decision-making methods for the refined operation and management of urban rainwater systems.
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