Water Resources Management

, Volume 32, Issue 2, pp 721–734 | Cite as

Rehabilitation of Urban Drainage Systems Using a Resilience-Based Approach

Article
  • 89 Downloads

Abstract

Highly efficient methods are needed to mitigate negative impacts of urban storms such as flooded roads and damage to properties and infrastructures. A rehabilitation approach based on resiliency is proposed in this paper for urban drainage systems using structural improvement of bottlenecks. The resilience-based approach enhances system capability to act very flexible against exceptional loads such as bridge/culvert blockage during the floods. The approach integrates a multi-objective evolutionary algorithm (MOEA) and EPA-SWMM simulation model to find cost-effective rehabilitation measures under structural failure of critical elements in the network. It is applied to the western part of Tehran Stormwater Drainage System (TSDS) to attain optimal measures by minimizing the costs and flood volumes. The approach outperforms the conventional methods (particularly compared to a previous rehabilitation proposal for the study area) when the system encounters unexpected blockage conditions. Results show that the optimal design obtained by the proposed approach can decrease network flooding from 3.5 × 106 m3 to near zero with at most 23% lower investment costs relative to the traditional design.

Keywords

Resiliency Flood Urban drainage system Optimization Rehabilitation 

Notes

Acknowledgements

This research has been supported by the research grant no. 600/1449 funded by Shahid Beheshti University, Tehran, Iran.

References

  1. Bureau of Technical Affairs and Standards (2001) Basic computational measures in economic analysis of water resources projects. No. 215, Management and Planning Organization, Ministry of Energy, Islamic Republic of IranGoogle Scholar
  2. Butler D, Farmani R, Fu G, Ward S, Diao K, Astaraie-Imani M (2014) A new approach to urban water management: safe and sure. Procedia Eng 89:347–354CrossRefGoogle Scholar
  3. Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multi objective algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2):182–197Google Scholar
  4. Delelegn SW, Pathirana A, Gersonius B, Adeogun AG, Vairavamoorthy K (2011) Multi-objective optimisation of cost-benefit of urban flood management using a 1D2D coupled model. Water Sci Technol 63(5):1053–1059CrossRefGoogle Scholar
  5. Fu G, Butler D (2014) Copula-based frequency analysis of overflow and flooding in urban drainage systems. J Hydrol 510:49–58CrossRefGoogle Scholar
  6. German ATV Rules and Standards (1999) Hydraulic dimensioning and verification of drainage systems, ATVA 118EGoogle Scholar
  7. Karamouz M, Nazif S, Zahmatkesh Z (2013) Self-organizing Gaussian-based downscaling of climate data for simulation of urban drainage systems. J Irrig Drain Eng 139(2):98–112CrossRefGoogle Scholar
  8. Karamouz M, Zahmatkesh Z (2016) Quantifying resilience and parameter uncertainty in coastal flooding events: a framework for assessing urban vulnerability. ASCE J Water Resour Plann Manag 143(1):04016071-1Google Scholar
  9. MGCE (2011a) Tehran Stormwater Management Master Plan, Vol 4: Existing Main Drainage Network, Part 2: Hydraulic Modeling and Capacity Assessment, December 2011, Mahab Ghods Consultant Engineers, Technical and development deputy of Tehran municipality, Tehran, IranGoogle Scholar
  10. MGCE (2011b) Tehran Stormwater Management Master Plan, Vol 2, part 3: Urban Food Hydrology & Sediment Load, December 2011, Mahab Ghods Consultant Engineers, Technical and development deputy of Tehran municipality, Tehran, IranGoogle Scholar
  11. MGCE (2011c) Tehran Stormwater Management Master Plan, Vol 2: Basic Studies, Part1: Meteorology, December 2011, Mahab Ghods Consultant Engineers, Technical and development deputy of Tehran municipality, Tehran, IranGoogle Scholar
  12. Mugume SN, Gomez DE, Fu G, Farmani R, Butler D (2015) A global analysis approach for investigating structural resilience in urban drainage systems. Water Res 81:15–26CrossRefGoogle Scholar
  13. Oraei Zare S, Saghafian B, Shamsai A, Nazif S (2012) Multi-objective optimization using evolutionary algorithms for qualitative and quantitative control of urban runoff. Hydrol Earth Syst Sci Discuss 9:777–817CrossRefGoogle Scholar
  14. Park M, Chung G, Yoo C, Kim JH (2012) Optimal Design of Stormwater detention basin using the genetic algorithm. KSCE J Civ Eng 16(4):660–666CrossRefGoogle Scholar
  15. Rossman L (2008) Storm water management model user’s manual: Version 5.0, EPA/600/R-05/040. National Risk Management Research Laboratory, CincinnatiGoogle Scholar
  16. Sun SA, Djordjević S, Khu ST (2011) A general framework for flood risk based storm sewer network design. Urban Water J 8(1):13–27CrossRefGoogle Scholar
  17. Tahmasebi Birgani Y, Yazdandoost F (2016) Role of resilience in sustainable urban Stormwater management. Hydraul Struct 1(1):42–50Google Scholar
  18. USACE (2008) Hydrologic modelling system HEC-HMS, Quick start guide, version 3.2. Institute for Water Resources Hydrologic Engineering Center, DavisGoogle Scholar
  19. Vojinovic Z, Sahlu S, Torres AS, Seyoum SD, Anvarifar F, Matungulu H, Barreto W, Savic D, Kapelan Z (2014) Multi-objective rehabilitation of urban drainage systems under uncertainties. J Hydroinf 16(5):1044–1061CrossRefGoogle Scholar
  20. Yazdi J, Kim JH (2015) Intelligent pump operation and river diversion Systems for Urban Storm Management. J Hydrol Eng ASCE 20(11):04015031CrossRefGoogle Scholar
  21. Yazdi J, Sadollah A, Lee EH, Yoo DG, Kim JH (2015) Application of multi-objective evolutionary algorithms for the rehabilitation of storm sewer pipe networks. J Flood Risk Manag 10(3):326–338CrossRefGoogle Scholar
  22. Yazdi J, Salehi Neyshabouri SAA, Golian S (2014) A stochastic framework to assess the performance of flood warning systems based on rainfall-runoff modelling. Hydrol Process 28(17):4718–4731CrossRefGoogle Scholar
  23. Yazdi J, Yoo DG, Kim JH (2016) Comparative study of multi-objective evolutionary algorithms for hydraulic rehabilitation of urban drainage networks. Urban Water J 14(5):483–492CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  1. 1.Faculty of Civil, Water and Environmental EngineeringShahid Beheshti UniversityTehranIran

Personalised recommendations