Volume 13 Issue 5
Oct.  2022
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Article Contents
Jiahui Lu, Jiahong Liu, Yingdong Yu, Chuang Liu, Xin Su. Network Structure Optimization Method for Urban Drainage Systems Considering Pipeline Redundancies[J]. International Journal of Disaster Risk Science, 2022, 13(5): 793-809. doi: 10.1007/s13753-022-00445-y
Citation: Jiahui Lu, Jiahong Liu, Yingdong Yu, Chuang Liu, Xin Su. Network Structure Optimization Method for Urban Drainage Systems Considering Pipeline Redundancies[J]. International Journal of Disaster Risk Science, 2022, 13(5): 793-809. doi: 10.1007/s13753-022-00445-y

Network Structure Optimization Method for Urban Drainage Systems Considering Pipeline Redundancies

doi: 10.1007/s13753-022-00445-y

This study was supported by the Chinese National Natural Science Foundation (Grant No. 51739011 and 52192671) and the Research Fund of the State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins (Grant No. SKL2022TS11).

  • Available Online: 2022-11-01
  • Redundancy is an important attribute of a resilient urban drainage system. While there is a lack of knowledge on where to increase redundancy and its contribution to resilience, this study developed a framework for the optimal network structure of urban drainage systems that considers pipeline redundancies. Graph theory and adaptive genetic algorithms were used to obtain the initial layout and design of the urban drainage system. The introduction of additional water paths (in loop)/redundancies is suggested by the results of complex network analysis to increase resilience. The drainage performances of the urban drainage system with pipeline redundancies, and without redundancies, were compared. The proposed method was applied to the study area in Dongying City, Shandong Province, China. The results show that the total overflow volume of the urban drainage system with pipeline redundancies under rainfall exceeding the design standard (5 years) is reduced by 20-30%, which is substantially better than the network without pipeline redundancies.
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  • Bakhshipour, A.E., M. Bakhshizadeh, U. Dittmer, A. Haghighi, and W. Nowak. 2019. Hanging gardens algorithm to generate decentralized layouts for the optimization of urban drainage systems. Journal of Water Resources Planning and Management 145(9): Article 04019034.
    Bartos, M., and B. Kerkez. 2019. Hydrograph peak-shaving using a graph-theoretic algorithm for placement of hydraulic control structures. Advances in Water Resources 127(5): 167–179.
    Bastian, M., S. Heymann, and M. Jacomy. 2009. Gephi: An open source software for exploring and manipulating networks. In Proceedings of the Third International AAAI Conference on Weblogs and Social Media (ICWSM 2009), 17–20 May 2009, San Jose, California, USA, 3(1), 361–362.
    Brandes, U. 2001. A faster algorithm for betweenness centrality. The Journal of Mathematical Sociology 25(2): 163–177.
    Butler, D., C.J. Digman, C. Makropoulos, and J.W. Davies. 2018. Urban drainage. Boca Raton: CRC Press.
    Carter, T., and C.R. Jackson. 2007. Vegetated roofs for stormwater management at multiple spatial scales. Landscape and Urban Planning 80(1–2): 84–94.
    Chen, S.S., D.C.W. Tsang, M. He, Y. Sun, L.S.Y. Lau, R.W.M. Leung, and S. Mohanty. 2021. Designing sustainable drainage systems in subtropical cities: Challenges and opportunities. Journal of Cleaner Production 280: Article 124418.
    Cheng, Y., Y. Sang, Z. Wang, Y. Guo, and Y. Tang. 2020. Effects of rainfall and underlying surface on flood recession—The upper Huaihe River Basin case. International Journal of Disaster Risk Science 1: Article 10.
    Di, B.X., Y.Q. Zhang, L.Y. Shen, Q.M. Kong, C.H. Tian, and K.D. Shi. 2017. Water supply and drainage design manual, 3rd edn. Beijing: China Construction Industry Press (in Chinese).
    Duque, N., D. Duque, A. Aguilar, and J. Saldarriaga. 2020. Sewer network layout selection and hydraulic design using a mathematical optimization framework. Water 12(12): Article 3337.
    Farahmand, H., S. Dong, and A. Mostafavi. 2021. Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction. Computers Environment and Urban Systems 89: Article 101663.
    Freeman, L.C. 1977. A set of measures of centrality based on betweenness. Sociometry 40(1): Article 35.
    Fu, X., M.E. Hopton, and X. Wang. 2021. Assessment of green infrastructure performance through an urban resilience lens. Journal of Cleaner Production 289: Article 125146.
    Haghighi, A. 2013. Loop-by-loop cutting algorithm to generate layouts for urban drainage systems. Journal of Water Resources Planning and Management 139(6): 693–703.
    Hassan, W.H., M.H. Jassem, and S.S. Mohammed. 2018. A GA-HP model for the optimal design of sewer networks. Water Resources Management 32: 865–879.
    Hesarkazzazi, S., M. Hajibabaei, J.D. Reyes-Silva, P. Krebs, and R. Sitzenfrei. 2020. Assessing redundancy in stormwater structures under hydraulic design. Water 12(4): Article 1003.
    Holland, J.H. 1975. Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control and artificial intelligence, 1st edn. Ann Arbor, MI: University of Michigan Press.
    Hu, F., S. Yang, and R.G. Thompson. 2020. Resilience-driven road network retrofit optimization subject to tropical cyclones induced roadside tree blowdown. International Journal of Disaster Risk Science 12(1): 72–89.
    Jenelius, E., and L.G. Mattsson. 2015. Road network vulnerability analysis: Conceptualization, implementation and application. Computers, Environment and Urban Systems 49(1): 136–147.
    Jia, Y.N., S. Fazlollahi, and S. Galelli. 2019. Do design storms yield robust drainage systems? How rainfall duration, intensity, and profile can affect drainage performance. Journal of Water Resources Planning and Management 146(3): Article 04020003.
    Ke, Q., L.S. Wang, and T. Tao. 2016. Resilience assessment of urban rainwater drainage systems. China Water & Wastewater 32(21): 6–11 (in Chinese).
    Kwon, S.H., D. Jung, and J.H. Kim. 2021. Optimal layout and pipe sizing of urban drainage networks to improve robustness and rapidity. Journal of Water Resources Planning and Management 147(4): Article 06021003.
    La Rosa, D., and V. Pappalardo. 2019. Planning for spatial equity—A performance based approach for sustainable urban drainage systems. Sustainable Cities and Society 53: Article 101885.
    Lu, J., J. Liu, X. Fu, and J. Wang. 2021. Stormwater hydrographs simulated for different structures of urban drainage network: Dendritic and looped sewer networks. Urban Water Journal 18(7): 522–529.
    Mair, M., J. Zischg, W. Rauch, and R. Sitzenfrei. 2017. Where to find water pipes and sewers?—On the correlation of infrastructure networks in the urban environment. Water 9(2): Article 146.
    Mentens, J., D. Raes, and M. Hermy. 2006. Green roofs as a tool for solving the rainwater runoff problem in the urbanized 21st century?. Landscape and Urban Planning 77(3): 217–226.
    Moeini, R., and M.H. Afshar. 2017. Arc based ant colony optimization algorithm for optimal design of gravitational sewer networks. Ain Shams Engineering Journal 8: 207–223.
    Mora-Melià, D., C.S. López-Aburto, P. Ballesteros-Pérez, and P. Muñoz-Velasco. 2018. Viability of green roofs as a flood mitigation element in the central region of Chile. Sustainability 10(4): Article 1130.
    Mugume, S.N., K. Diao, M. Astaraie-Imani, G. Fu, R. Farmani, and D. Butler. 2015. Enhancing resilience in urban water systems for future cities. Water Science and Technology: Water Supply 15(6): 1343–1352.
    Mugume, S.N., D.E. Gomez, G. Fu, R. Farmani, and D. Butler. 2015. A global analysis approach for investigating structural resilience in urban drainage systems. Water Research 81: 15–26.
    Navin, P.K., and Y.P. Mathur. 2016. Layout and component size optimization of sewer network using spanning tree and modified PSO algorithm. Water Resources Management 30(10): 3627–3643.
    Ngamalieu-Nengoue, U.A., F.J. Martínez-Solano, P.L. Iglesias-Rey, and D. Mora-Meliá. 2019. Multi-objective optimization for urban drainage or sewer networks rehabilitation through pipes substitution and storage tanks installation. Water 11(5): Article 935.
    Palumbo, A., L. Cimorelli, C. Covelli, L. Cozzolino, C. Mucherino, and D. Pianese. 2013. Optimal design of urban drainage networks. Civil Engineering and Environmental Systems 31(1): 79–96.
    Reyes-Silva, J.D., B. Helm, and P. Krebs. 2020. Meshness of sewer networks and its implications for flooding occurrence. Water Science and Technology 81(1): 40–51.
    Rossman, L.A. 2015. Storm water management model user’s manual, version 5.1. Cincinnati: US Environmental Protection Agency.
    Sen, M.K., S. Dutta, G. Kabir, N.N. Pujari, and S.A. Laskar. 2021. An integrated approach for modelling and quantifying housing infrastructure resilience against flood hazard. Journal of Cleaner Production 288: Article 125526.
    Shao, Z., X. Zhang, S. Li, S. Deng, and H. Chai. 2017. A novel SWMM based algorithm application to storm sewer network design. Water 9(10): Article 747.
    Sitzenfrei, R. 2021. Using complex network analysis for water quality assessment in large water distribution systems. Water Research 201: Article 117359.
    Sitzenfrei, R., Q. Wang, Z. Kapelan, and D. Savić. 2020. Using complex network analysis for optimization of water distribution networks. Water Resources Research 56(8): Article 27929.
    Steele, J.C., K. Mahoney, O. Karovic, and L.W. Mays. 2016. Heuristic optimization model for the optimal layout and pipe design of sewer systems. Water Resources Management 30(5): 1605–1620.
    Sun, X., R. Li, X. Shan, H. Xu, and J. Wang. 2021. Assessment of climate change impacts and urban flood management schemes in central Shanghai. International Journal of Disaster Risk Reduction 65: Article 102563.
    Tao, T., J. Wang, K. Xin, and S. Li. 2014. Multi-objective optimal layout of distributed storm-water detention. International Journal of Environmental Science and Technology 11(5): 1473–1480.
    Turan, M.E., G. Bacak-Turan, T. Cetin, and E. Aslan. 2019. Feasible sanitary sewer network generation using graph theory. Advances in Civil Engineering 2019: 1–15.
    Wang, M., Y. Fang, and C. Sweetapple. 2021. Assessing flood resilience of urban drainage system based on a ‘do-nothing’ benchmark. Journal of Environmental Management 288: Article 112472.
    Wang, S., J. Fu, and H. Wang. 2019. Unified and rapid assessment of climate resilience of urban drainage system by means of resilience profile graphs for synthetic and real (persistent) rains. Water Research 162: 11–21.
    Yang, Y., S.T. Ng, S. Zhou, F.J. Xu, and H. Li. 2019. Physics-based resilience assessment of interdependent civil infrastructure systems with condition-varying components: A case with stormwater drainage system and road transport system. Sustainable Cities and Society 54: Article 101886.
    Yazdi, J. 2017. Rehabilitation of urban drainage systems using a resilience-based approach. Water Resources Management 32(2): 721–734.
    Yeh, S.F., Y.J. Chang, and M.D. Lin. 2013. Optimal design of sewer network by tabu search and simulated annealing. In Proceedings of the 2013 IEEE International Conference on Industrial Engineering and Engineering Management, 10–13 December 2013, Bangkok, Thailand, 1636–1640.
    Zhang, W., J. Hou, X. Li, and S. Yang. 2022. Evaluation of water disaster prevention and control effect in Xiaozhai Xi’an based on AHP-fussy method. Water Resources and Power 40(5): 55–58 (in Chinese).
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