A Novel SWMM Based Algorithm Application to Storm Sewer Network Design

被引:18
|
作者
Shao, Zhiyu [1 ,2 ]
Zhang, Xiaoyuan [1 ,2 ]
Li, Shuang [1 ,2 ]
Deng, Shihu [3 ]
Chai, Hongxiang [1 ,2 ]
机构
[1] Chongqing Univ, Minist Educ, Key Lab Ecol Environm, Gorges Reservoir Area 3, Chongqing 400044, Peoples R China
[2] Chongqing Univ, Sch Urban Construct & Environm Engn, Chongqing 400045, Peoples R China
[3] Chongqing Zhixing Geog Informat Consulting Serv L, Chongqing 401121, Peoples R China
来源
WATER | 2017年 / 9卷 / 10期
基金
国家重点研发计划;
关键词
storm sewer; network design; iterative algorithm; SWMM; ANT ALGORITHMS; OPTIMIZATION; LAYOUT;
D O I
10.3390/w9100747
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An automated algorithm based on the dynamic hydrological and hydraulic simulation modules in Storm Water Management Model (SWMM) was developed to aid the design of storm sewer networks, provided that a layout is given. Numerical performance of the proposed algorithm was compared with the existing design methods with two application cases. The automated computation process of the sewer network design was divided into two stages and solved iteratively, determining pipe diameter and pipe slope, respectively. In the first stage, starting with a set of initial values including pipe diameter, pipe cover depth, and ground elevation at manholes, the iteration was carried out from the downstream to the upstream while the pipe slopes of the network were assumed to be fixed and the diameter of each pipe segment was calculated. In the second stage, pipe diameters calculated from the first stage were fixed and the pipe slopes were calculated successively from the downstream pipe segment to the upstream pipe segment. Every time the diameter or slope of a pipe segment was adjusted, the pipe flow rate, velocity, and flow depth were obtained by running SWMM hydrological and hydraulic simulation modules. The iteration terminated once the combination scheme of pipe diameters and slopes met the design ordinance which requires the pipe flows full under gravity in a design return period. A real urban sewer system in a hilly city and a benchmark sewer network from the literature were tested to validate the proposed automated algorithm, and good performance was shown. The automated design results explicitly show that the proposed storm sewer design approach leads to a quality solution with reduced computational effort.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Optimal Sewer Network Design for Cities in Hilly Regions
    Saldarriaga, Juan
    Herran, Juana
    Iglesias-Rey, Pedro L.
    URBAN WATER JOURNAL, 2023, 20 (08) : 1052 - 1062
  • [32] Storm sewer pipe renewal planning considering deterioration, climate change, and urbanization: a dynamic Bayesian network and GIS framework
    Abebe, Yekenalem
    Tesfamariam, Solomon
    SUSTAINABLE AND RESILIENT INFRASTRUCTURE, 2023, 8 (01) : 70 - 85
  • [33] Optimum layout design of sewer networks by hybrid genetic algorithm
    Hassan, Waqed Hammed
    Attea, Zahra H.
    Mohammed, Safaa S.
    JOURNAL OF APPLIED WATER ENGINEERING AND RESEARCH, 2020, 8 (02): : 108 - 124
  • [34] Optimum design of sewer systems by using differential evolution algorithm
    Tan E.
    Sadak D.
    Tamer Ayvaz M.
    Teknik Dergi/Technical Journal of Turkish Chamber of Civil Engineers, 2020, 31 (05): : 10229 - 10250
  • [35] Optimal Design of Sewer Network by Tabu Search and Simulated Annealing
    Yeh, S-F.
    Chang, Y-J.
    Lin, M-D.
    2013 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM 2013), 2013, : 1636 - 1640
  • [36] Multiobjective Optimization in Sewer Network Design to Improve Wastewater Quality
    Heydarzadeh, Reza
    Tabes, Massoud
    Scholz, Mikias
    JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2019, 10 (04)
  • [37] A DUAL-BASED ALGORITHM FOR MULTILEVEL NETWORK DESIGN
    BALAKRISHNAN, A
    MAGNANTI, TL
    MIRCHANDANI, P
    MANAGEMENT SCIENCE, 1994, 40 (05) : 567 - 581
  • [38] Improving the efficiency of Cellular Automata for sewer network design optimization problems using Adaptive Refinement
    Afshar, M. H.
    Zaheri, M. M.
    Kim, J. H.
    12TH INTERNATIONAL CONFERENCE ON HYDROINFORMATICS (HIC 2016) - SMART WATER FOR THE FUTURE, 2016, 154 : 1439 - 1447
  • [39] Bicycle network design: model and solution algorithm
    Mauttone, Antonio
    Mercadante, Gonzalo
    Rabaza, Maria
    Toledo, Fernanda
    20TH EURO WORKING GROUP ON TRANSPORTATION MEETING, EWGT 2017, 2017, 27 : 969 - 976
  • [40] A Novel Genetic Algorithm Based on Immunity and its Application
    Zhao, Fenggiang
    Li, Guangqiang
    Du, Jialu
    Guo, Chen
    Hu, Hongying
    Abraham, Ajith
    2012 12TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS), 2012, : 566 - 571