Sustainable Design of Urban Stormwater Drainage Systems by Implementing Detention Tank and LID Measures for Flooding Risk Control and Water Quality Management

  • Fei LiEmail author
  • Xu-Feng Yan
  • Huan-Feng DuanEmail author


With the increasing emphasis and application of the flooding control and mitigation measures of detention tank (DT) and low impact development (LID) in urban stormwater drainage systems (USDSs), the complex drainage flow process and corresponding water quality issues have also aroused great of interests and attentions from researchers and practitioners. This paper contributes to study the urban flooding control and water quality management with the implementation of DTs and LIDs in the USDS. A many-objective optimization (MOO) based design framework and analysis method is developed for achieving four objectives of USDS design. A realistic USDS is adopted for the case study, in which the DTs and LIDs are implemented by this extended MOO-based design method to achieve the optimal result of flooding risk control and water quality improvement. The obtained results are further analyzed for the characteristics of flooding risk control and water quality component evolution in the USDS. The results and analysis demonstrate the effectiveness and applicability of the designed DTs and LIDs to mitigate the flooding risk and improve water quality in USDS.


Detention tank (DT) Low impact development (LID) Multi-objective optimization (MOO) Urban stormwater drainage system (USDS) Flooding risk Water quality 



This work was supported by the research grants from the Hong Kong RGC projects no. 25200616 and no. 15201017, and the open fund from the State Key Laboratory of Hydraulics and Mountain River Engineering at Sichuan University in China, with project no. SKHL1417.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest in this paper work.


  1. CDOWE (Code for Design of Outdoor Wastewater Engineering) (2014). Design manuel for outdoor wastewater engineering. The People's Republic of China Ministry of Housing and Urban Rural Development, pp 12–28Google Scholar
  2. Chan K, Tam K, Leung Y (2010) Integrated planning and design of a flood relief project for sheung wan low-lying area. HKIE Civil Division Conference – Infrastructure Solutions for Tomorrow, 12-14 April 2010, Hong KongGoogle Scholar
  3. Chui TFM, Liu X, Zhan W (2016) Assessing cost-effectiveness of specific LID practice designs in response to large storm events. J Hydrol 533:353–364CrossRefGoogle Scholar
  4. CURCNC (Committee of Urban and Rural Construction of Nanning City of China) (2015) Construction Technology for Sponge City in Nanning City of China – Standard Atlas of LID-Based Rainwater Control and Engineering Design (Trial). CURCNC.
  5. Deb K, Agrawal S, Pratap A, Meyarivan T (2000) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. Lect Notes Comput Sci 1917:849–858CrossRefGoogle Scholar
  6. DSDHK (Drainage Services Department of Hong Kong Government) (2019) DSDHK. Accessed May 2019
  7. Duan HF, Li F, Tao T (2016a) Multi-objective optimal design of detention tanks in the urban stormwater drainage system: uncertainty and sensitivity analysis. Water Resour Manag 30(7):2213–2226CrossRefGoogle Scholar
  8. Duan HF, Li F, Yan H (2016b) Multi-objective optimal design of detention tanks in the urban stormwater drainage system: LID implementation and analysis. Water Resour Manag 30(13):4635–4648CrossRefGoogle Scholar
  9. Elliott AH, Trowsdale SA (2007) A review of models for low impact urban stormwater drainage. Environ Model Softw 22(2007):394–405CrossRefGoogle Scholar
  10. Field R, Pitt RE (1990) Urban storm-induced discharge impacts: US Environmental Protection Agency research program review. Water Sci Technol 22(10-11):1–7CrossRefGoogle Scholar
  11. Guo Y, Adams BJ (1999) An analytical probabilistic approach to sizing flood control detention facilities. Water Resour Res 35(8):2457–2468CrossRefGoogle Scholar
  12. IPCC (2014) Climate change 2014: impacts, adaptation, and vulnerability. Part a: global and sectoral aspects. In: Field, Barros et al (eds) Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
  13. Li X (2003) A non-dominated sorting particle swarm optimizer for multiobjective optimization. In: Genetic and evolutionary computation – GECCO, Springer Berlin Heidelberg, pp 37–48Google Scholar
  14. Li H, Li T (2006) Study on the characterization of combined sewer overflow from the high density residential area in Shanghai (in Chinese). Environ Sci 27(8):1565–1569Google Scholar
  15. Li F, Duan HF, Tao T, Yan HX (2015) Multi-objective optimal design of detention tanks in the urban stormwater drainage system: framework development and case study. Water Resour Manag 29(7):2125–2137CrossRefGoogle Scholar
  16. Lin LF (2006) Monitoring and characterization of urban runoff pollution in Shanghai. MPhil Thesis (Chinese), Tongji University, Shanghai, ChinaGoogle Scholar
  17. Mays LW, Bedient PB (1982) Model for optimal size and location of detention. J Water Resour Plan Manag, ASCE 108(3):270–285Google Scholar
  18. MHURDC (Ministry of Housing and Urban-Rural Development of China) (2014) Manuel of Construction Technology for Sponge City in China – LID-Based Rainwater System (Trial). MHURDC.
  19. Rossman LA (2004) Storm water management model (Ver5.0). National Risk Management Research Laboratory, United States Environmental Protection Agency, CincinnatiGoogle Scholar
  20. Tao T, Wang J, Xin K, Li S (2014) Multi-objective optimal layout of distributed storm-water detention. International Journal of Environmental Science & Technology 11(5):1473–1480CrossRefGoogle Scholar
  21. Travis QB, Mays LW (2008) Optimizing retention basin networks. J Water Resour Plan Manag, ASCE 134(5):432–439CrossRefGoogle Scholar
  22. Tsihrintzis VA, Hamid R (1997) Modeling and management of urban stormwater runoff quality: a review. Water Resour Manag 11(2):136–164CrossRefGoogle Scholar
  23. Vogel JR, Moore TL, Coffman RR, Rodie SN, Hutchinson SL, McDonough KR, McLemore AJ, McMaine JT (2015) Critical review of technical questions facing low impact development and green infrastructure: a perspective from the great plains. Water Environ Res 87(9):849–862CrossRefGoogle Scholar
  24. Willems P (2013) Revision of urban drainage design rules after assessment of climate change impacts on precipitation extremes at Uccle, Belgium. J Hydrol 496:166–177CrossRefGoogle Scholar
  25. Zhou Q (2014) A review of sustainable urban drainage systems considering the climate change and urbanization impacts. Water, MDPI 6:976–992CrossRefGoogle Scholar

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© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Department of Civil and Environmental EngineeringThe Hong Kong Polytechnic UniversityKowloonHong Kong
  2. 2.State Key Laboratory of Hydraulics and Mountain River EngineeringSichuan UniversityChengduChina

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