摘要
在城镇合流制溢流(CSO)污染控制系统的规划建设过程中,提高CSO削减率的同时降低建设成本一直受到规划建设决策者的广泛关注。针对CSO控制系统优化问题,利用Matlab、Python和SWMM模型建立了CSO控制系统建设成本与CSO削减率的多目标优化模型,借助非支配排序遗传算法(NSGA-Ⅱ)对实例求解得出一系列Pareto解集,并进一步为决策者提供多套选择方案。分析结果表明:在3年一遇设计降雨条件下,优化结果中源头LID设施、末端合流制调蓄池与中途截流管网改造的建设成本占比依次降低,其中末端合流制调蓄池的CSO削减率贡献最高,源头LID设施次之,中途截流管网改造最低。
How to reduce the construction cost while increasing the reduction rate of combined sewer overflow( CSO) control system has been widely concerned by the planning & decision makers. In this study,the multi-objective optimization model of CSO system construction cost and CSO reduction rate was established by using Matlab,Python and SWMM. A series of Pareto solution sets were obtained using non-dominant sorting genetic algorithm( NSGA-Ⅱ),so different options were put forward to planning decision makers. For the 3-year storm events,the optimization results showed that the proportion of the construction cost was highest for constructing source low impact development( LID) facilities,followed by constructing the detention tanks and retrofitting the midway pipes. Among the three types of facilities,the contribution of the CSO reduction rate of the detention tanks was the highest,followed by the source LID facilities and the midway pipes.
作者
宫永伟
刘伟勋
于磊
陈晔
GONG Yong-wei;LIU Wei-xun;YU Lei;CHEN Ye(Key Laboratory of Urban Stormwater System and Water Environment,Minisity of Education,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Beijing Advanced Innovation Center of Urban Design for Future Cities,Beijing 100044,China;Beijing Water Science and Technology Institute,Beijing 100048,China;Beijing Municipal Institute of City Planning and Design,Beijing 100045,China)
出处
《环境工程》
CAS
CSCD
北大核心
2020年第4期128-133,共6页
Environmental Engineering
基金
水体污染控制与治理科技重大专项(2017ZX07403001)
国家自然科学基金重点项目(41530635)
北京建筑大学金字塔人才培养工程。
