合流调蓄系统多目标GA优化工程应用

Engineering Application of Multi-objective GA Optimization Model in Combined Regulative Storage System

合流制调蓄设计与优化是城市雨水面源污染控制的重要内容。考虑排水系统的排水能力和污染控制效果的同时,又需确保系统工程的经济效益,是当前合流制多目标优化亟待解决的现实问题之一。建立以工程造价和运行费用为目标函数,以不发生溢流、管网水力参数为约束条件的合流制多目标优化模型,利用遗传算法(GA)寻求最优工程设计方案,提高投资回报率。将所建模型应用于上海某区域的优化设计,获得了较佳的效果,且相对于手工计算提高了准确度,减少10%~20%的投资,减少了对环境的污染。其成果对截流式合流制排水系统评估与规划具有现实和推广意义。

Design and optimization of combined system regulative storage are the important contents of urban rainwater non-point source pollution control. At the same time to consider the drainage capacity and pollution control effect of drainage system, it is required to ensure the economic benefit of system engineering, and it is one of practical problems urgently to be solved for the multi-objective optimization of current combined system. The combined system multi-objective optimization model is established by taking the engineering construction cost and operating cost as the objective functions, and taking the no-overflow and pipe network hydraulic parameters as the constraint conditions. The genetic algorithm(GA) is used to seek the optimized engineering design scheme and to increase the return on investment(RO). The established model is applied in the optimization design of an area in Shanghai, which achieves the better effect, and improves the degree of accuracy, decreases the 10%~20% investment and reduces the pollution on the environment relatively to the hand computation. The achievements have the practical and popularizing significances for the assessment and planning of the intercepted combined drainage system.