MULTI-OBJECTIVE OPTIMIZATION OF COMBINEDSEWER OVERFLOW CONTROL SYSTEM

GONG Yong-wei; LIU Wei-xun; YU Lei; CHEN Ye

doi:10.13205/j.hjgc.202004023

Volume 38 Issue 4

Apr. 2020

Turn off MathJax

Article Contents

Article Navigation > ENVIRONMENTAL ENGINEERING > 2020 > 38(4): 128-133

GONG Yong-wei, LIU Wei-xun, YU Lei, CHEN Ye. MULTI-OBJECTIVE OPTIMIZATION OF COMBINEDSEWER OVERFLOW CONTROL SYSTEM[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(4): 128-133. doi: 10.13205/j.hjgc.202004023

Citation:

GONG Yong-wei, LIU Wei-xun, YU Lei, CHEN Ye. MULTI-OBJECTIVE OPTIMIZATION OF COMBINEDSEWER OVERFLOW CONTROL SYSTEM[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(4): 128-133. doi: 10.13205/j.hjgc.202004023

GONG Yong-wei, LIU Wei-xun, YU Lei, CHEN Ye. MULTI-OBJECTIVE OPTIMIZATION OF COMBINEDSEWER OVERFLOW CONTROL SYSTEM[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(4): 128-133. doi: 10.13205/j.hjgc.202004023

Citation:

PDF( 2631 KB)

MULTI-OBJECTIVE OPTIMIZATION OF COMBINEDSEWER OVERFLOW CONTROL SYSTEM

doi: 10.13205/j.hjgc.202004023

GONG Yong-wei^{1,2
,
,},
LIU Wei-xun¹,
YU Lei³,
CHEN Ye⁴

1. Key Laboratory of Urban Stormwater System and Water Environment, Minisity of Education, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
2. Beijing Advanced Innovation Center of Urban Design for Future Cities, Beijing 100044, China;
3. Beijing Water Science and Technology Institute, Beijing 100048, China;
4. Beijing Municipal Institute of City Planning and Design, Beijing 100045, China

Received Date: 2019-10-30

Abstract

Abstract

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.
- combined sewer overflow,
- multi-objective optimization,
- NSGA-Ⅱ,
- low impact development

FullText(HTML)

References(15)

References

唐磊, 车伍, 赵杨, 等. 合流制溢流污染控制系统决策[J]. 给水排水, 2012, 38(7):28-34.

杨雪, 车伍, 李俊奇, 等. 国内外对合流制管道溢流污染的控制与管理[J]. 中国给水排水, 2008, 24(16):7-11.

车伍, 刘燕, 李俊奇. 国内外城市雨水水质及污染控制[J]. 给水排水, 2003,29(10):38-42.

徐一茗. 合流制管道溢流的影响因素及其污染治理措施[J]. 山西建筑, 2010, 36(34):170-172.

韩东刚, 王赫婧, 尤学一, 等. 基于图论与枚举算法的城市污水管网优化设计[J].中国给水排水,2013,29(15):141-145.

曹相生, 刘杰, 刘婷, 等. 基于枚举算法的雨水管网优化设计[J]. 中国给水排水, 2010, 26(7):37-39.

章林伟. 海绵城市建设典型案例[M]. 北京:中国建筑工业出版社, 2017.

李芊, 张明媛, 袁永博. 基于MOPSO的雨水管网多目标改建优化[J]. 给水排水,2016,52(5):127-131.

王赫婧. 城市雨水管网多目标优化设计研究[D]. 天津:天津大学, 2012.

SEBTI A, FUAMBA M, BENNIS S. Optimization model for BMP selection and placement in a combined sewer[J]. Journal of Water Resources Planning and Management, 2015, 142(3):04015068.

GONG Y W, CHEN Y, YU L, et al. Effectiveness analysis of systematic combined sewer overflow control schemes in the sponge city pilot area of Beijing[J]. International Journal of Environmental Research and Public Health, 2019, 16(9):1503.

HUANG Y L, HUANG C, LIU H J, et al. Optimization of low impact development layout designs for megacity flood mitigation[J]. Journal of Hydrology, 2018, 564:542-558.

沈冰洁, 潘迪. 基于海绵城市理念的海绵校园景观优化研究[J]. 现代农村科技,2018(9):77-78.

ECKART K, MCPHEE Z, BOLISETTI T. Multiobjective optimization of low impact development stormwater controls[J]. Journal of Hydrology, 2018,562:546-576.

李倩, 宫俊, 唐加福. 基于改进NSGA-Ⅱ的交叉培训规划多目标优化[J]. 东北大学学报(自然科学版), 2011,32(12):1696-1699.

Relative Articles

Supplements(0)

Cited By

Proportional views