Climate change effect on storm drainage networks by storm water management model

  • Hassan, Waqed Hammed (Department of Civil Engineering, Faculty of Engineering, University of Kerbala) ;
  • Nile, Basim Khalil (Department of Civil Engineering, Faculty of Engineering, University of Kerbala) ;
  • Al-Masody, Batul Abdullah (Department of Civil Engineering, Faculty of Engineering, University of Kerbala)
  • Received : 2017.03.22
  • Accepted : 2017.05.30
  • Published : 2017.12.31


One of the big problems facing municipalities is the management and control of urban flooding where urban drainage systems are under growing pressure due to increases in urbanization, population and changes in the climate. Urban flooding causes environmental and infrastructure damage, especially to roads, this damage increasing maintenance costs. The aim of the present study is to develop a decision support tool to identify the performance of storm networks to address future risks associated with climate change in the Middle East region and specifically, illegal sewer connections in the storm networks of Karbala city, Iraq. The storm water management model has been used to simulate Karbala's storm drainage network using continuous hourly rainfall intensity data from 2008 to 2016. The results indicate that the system is sufficient as designed before consideration of extra sewage due to an illegal sewer connection. Due to climate changes in recent years, rainfall intensity has increased reaching 33.54 mm/h, this change led to flooding in 47% of manholes. Illegal sewage will increase flooding in the storm system at this rainfall intensity from between 39% to 52%.


Al-Eskari quarter;Climate change;Flooding;Karbala;Storm drainage network;SWMM


  1. Yannopoulos SI, Lyberatos G, Theodossiou N, et al. Evolution of water lifting devices (pumps) over the centuries worldwide. Water 2015;7:5031-5060.
  2. Houghton JT, Meira Filho LG, Callander BA, Harris N, Kattenberg A, Maskell K. Climate change 1995: The science of climate change. Contribution of Working Group 1 to the Second Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press; 1996.
  3. Valipour M, Sefidkouhi MAG, Raeini M. Selecting the best model to estimate potential evapotranspiration with respect to climate change and magnitudes of extreme events. Agr. Water Manage. 2017;180:50-60.
  4. Valipour M. How much meteorological information is necessary to achieve reliable accuracy for rainfall estimations? Agriculture 2016;6:53.
  5. Viero DP, Valipour M. Modeling anisotropy in free-surface overland and shallow inundation flows. Adv. Water Resour. 2017;104:1-14.
  6. Valipour M. Future of agricultural water management in Africa. Arch. Agron. Soil Sci. 2015;61:907-927.
  7. Valipour M. Variations of land use and irrigation for next decades under different scenarios. IRRIGA 2016;1:262-288.
  8. Metcalf and Eddy Inc. Storm water management model. Environmental Protection Agency. Washington D.C.; 1971. p. 353.
  9. Terstriep ML, Stall JB. The Illinois urban drainage area simulator, ILLUDAS. No. 58. Urbana: Illinois State Water Survey; 1974.
  10. Lindberg RL, Negishi M. Alteration of mouse cytochrome P450coh substrate specificity by mutation of a single amino-acid residue. Nature 1989;22:632-634.
  11. Hsu MH, Chen SH, Chang TJ. Inundation simulation for urban drainage basin with storm sewer system. J. Hydrol. 2000;30:21-37.
  12. Sands RJ, Chang CC, McDonald JM. Storm water management study after flooding of the South Bronx, NYC, New York. Global Solutions for Urban Drainage; 2002. p. 1-9.
  13. Sheng J, Wilson JP. Watershed urbanization and changing flood behavior across the Los Angeles metropolitan region. Nat. Hazards 2009;48:41-57.
  14. Beling FA, Garcia JI, Paiva EM, Bastos GA, Paiva JB. Analysis of the SWMM model parameters for runoff evaluation in periurban basins from southern Brazil. In: 12th International Conference on Urban Drainage; 11-16 September 2011; Porto Alegre/Brazil. p. 11-16.
  15. Valipour M. A comparison between horizontal and vertical drainage systems (include pipe drainage, open ditch drainage, and pumped wells) in anisotropic soils. IOSR J. Mech. Civil Eng. 2012;4:7-12.
  16. Jiang L, Chen YA, Wang HU. Urban flood simulation based on the SWMM model. P. Int. Assoc. Hydrol. Sci. 2015;368:186-191.
  17. Jung M, Kim H, Mallari KJ, Pak G, Yoon J. Analysis of effects of climate change on runoff in an urban drainage system: A case study from Seoul, Korea. Water Sci. Technol. 2015;71:653-660.
  18. Agricultural meteorology Iraqi network [Internet]. c2015. Available from:
  19. Wong TS, Koh XC. Which model type is best for deterministic rainfall-runoff modelling? In: Water Resources Research Progress. New York: Nova Science Publishers; 2008. p. 241-260.
  20. Rawls WJ, Brakensiek DL, Miller N. Green-ampt infiltration parameters from soils data. J. Hydrol. Eng. 1983;109:62-70.
  21. Pitt R, Lilburn M, Nix S, et al. Guidance manual for integrated wet weather flow (WWF) collection and treatment systems for newly urbanized areas (New WWF Systems). Current and Future Design Practices. 1999 Dec.
  22. Iraqi Planning Ministry. Central statistical organization-enviromantal report [Internet]. c2014. Available from: Issue.pdf.
  23. Steel EW, McGhee TJ. Water supply and sewage. McGraw-Hill;1979.
  24. Choi NJ. Understanding sewer infiltration and inflow using impulse response functions derived from physics-based models [dissertation]. Urbana-Champaign: Univ. of Illinois; 2016.

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