DOI: 10.11908/j.issn.0253-374x.2019.01.012

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作者单位: 同济大学 环境科学与工程学院,上海 200092,同济大学 环境科学与工程学院,上海 200092,同济大学 环境科学与工程学院,上海 200092,同济大学 环境科学与工程学院,上海 200092,同济大学 环境科学与工程学院,上海 200092,同济大学 环境科学与工程学院,上海 200092


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中图分类号: TU992


基金项目: 国家自然科学(51778452)




Multi-objective Optimization Design of Low-impact Development Plan in Sponge City Construction
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摘要:低影响开发技术设计中，为了能够有效地降低经济成本并使得低影响开发技术的效果最大化，以低影响开发方案的总费用作为经济性判断的目标函数，以年径流总量控制率作为控制目标函数，以低影响开发雨水设施的面积作为约束条件，建立低影响开发设计的多目标优化数学模型，并采用第二代非支配排序遗传算法( NSGAⅡ) 对该多目标数学模型进行求解分析.最后以一个实际区域的低影响开发项目作为案例加以分析，得出总费用和年径流总量控制率的帕累托最优曲线，可为设计决策者提供多套不同的优化方案.不同低影响开发技术的组合方案,更加科学，使决策更加清晰合理.



Abstract:In order to reduce the economic cost effectively and maximize the effect of low-impact development technology in the low-impact development technology design, the total cost of low impact development program is taken as the objective function of economic judgment, and with the volume capture ratio of annual rainfall as the control target, the area of low-impact development as a constraint, the multi-objective optimization mathematical model of low-impact development was established, and the non-dominated sorting genetic algorithms-Ⅱ(NSGA-Ⅱ) was used to solve the multi-objective mathematical model analysis. Finally, a case study was made of a low-impact development project and the Pareto optimal curves of the total cost and the volume capture ratio of annual rainfall was obtained, which could provide decision-makers with multiple sets of different optimization schemes. The combination of low-impact development technologies was more scientific for a clear and reasonable decision-making.





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