Investigation of Impact of Bridges Built on the Main Surface Water Collection Canals by Hydraulic Simulation (Case Study: Mianroud Canal - Tehran)

Document Type : Research


1 PhD Student of Civil Engineering, Construction Management, Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran.

2 Assistant Professor, Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran.


Familiarity with storm water management and how to assess damage and deal with it to minimize and control it is very important in urban management systems. There are several methods for flood control that are considered depending on the hydraulic conditions. The use of main canals for surface water collection, flow diversion, catchment management, etc. are among the methods considered by urban designers. Meanwhile, the use of various softwares such as SSA, HEC-RAS and the use of engineering tools such as GIS in its environment has attracted the attention of many researchers. In this paper, the hydraulic studies of Mianroud canal in the area of District 5 of Tehran Municipality, which is one of the important surface drainage arteries of Tehran, have been considered with the help of mathematical model for flood risk zoning. Vulnerable areas have been identified and finally management strategies to control and reduce flood risks have been discussed according to the river regime and the conditions of the region. The results of the Mianroud canal crossing capacity at the intersection with the existing bridges show that the canal built at the site of the sixth bridge is unquestionably incapable of passing floods with a return period of ten years. The canal will be able to pass the 25-year-old flood only at the location of the second and seventh bridges and will overflow at the location of the other bridges. In the 50 and 100 year return periods, the canal will almost lose its function and will flood the surrounding areas with 100% fullness.


1. Alaghmand, S., et al., Comparison between capabilities of HEC-RAS and MIKE11 hydraulic models in river flood risk modelling (a case study of Sungai Kayu Ara River basin, Malaysia). International Journal of Hydrology Science and Technology, 2012. 2(3): p. 270-291. [DOI:10.1504/IJHST.2012.049187]
2. Cook, A.C., Comparison of one-dimensional HEC-RAS with two-dimensional FESWMS model in flood inundation mapping. Graduate School, Purdue University, West Lafayette, 2008.
3. Heydari, M., M.S. Sadeghian, and M. Moharrampour. Flood Zoning Simulation byHEC-RAS Model (Case Study: Johor River-Kota Tinggi Region). in International Postgraduate Seminar, Organized by Faculty of Civil Engineering. 2013.
4. Pistocchi, A. and P. Mazzoli, Use of HEC-RAS and HEC-HMS models with ArcView for hydrologic risk management. 2002.
5. Thakur, B., et al. Coupling HEC-RAS and HEC-HMS in Precipitation Runoff Modelling and Evaluating Flood Plain Inundation Map. in World Environmental and Water Resources Congress 2017. 2017. [DOI:10.1061/9780784480625.022]
6. Wiles, J.J. and N.S. Levine, A combined GIS and HEC model for the analysis of the effect of urbanization on flooding: the Swan Creek watershed, Ohio. Environmental & Engineering Geoscience, 2002. 8(1): p. 47-61. [DOI:10.2113/gseegeosci.8.1.47]
7. Yang, J., R.D. Townsend, and B. Daneshfar, Applying the HEC-RAS model and GIS techniques in river network floodplain delineation. Canadian Journal of Civil Engineering, 2006. 33(1): p. 19-28. [DOI:10.1139/l05-102]
8. Hicks, F. and T. Peacock, Suitability of HEC-RAS for flood forecasting. Canadian Water Resources Journal, 2005. 30(2): p. 159-174. [DOI:10.4296/cwrj3002159]
9. Iosub, M., et al., The use of HEC-RAS modelling in flood risk analysis. Aerul si Apa. Componente ale Mediului, 2015: p. 315.
10. Mehta, D.J., M.M. Ramani, and M.M. Joshi, Application of 1-D HEC-RAS model in design of channels. Methodology, 2013. 1(7): p. 4-62.
11. Ostad-Ali-Askari, K. and M. Shayannejad, Usage of rockfill dams in the HEC-RAS software for the purpose of controlling floods. American Journal of Fluid Dynamics, 2015. 5(1): p. 23-29.
12. Pappenberger, F., et al., Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations. Journal of Hydrology, 2005. 302(1-4): p. 46-69. [DOI:10.1016/j.jhydrol.2004.06.036]
13. Parhi, P.K., R. Sankhua, and G. Roy, Calibration of channel roughness for Mahanadi River,(India) using HEC-RAS model. Journal of Water Resource and Protection, 2012. 4(10): p. 847. [DOI:10.4236/jwarp.2012.410098]
14. Patel, D.P., et al., Assessment of flood inundation mapping of Surat city by coupled 1D/2D hydrodynamic modeling: a case application of the new HEC-RAS 5. Natural Hazards, 2017. 89(1): p. 93-130. [DOI:10.1007/s11069-017-2956-6]
15. Quirogaa, V.M., et al., Application of 2D numerical simulation for the analysis of the February 2014 Bolivian Amazonia flood: Application of the new HEC-RAS version 5. Ribagua, 2016. 3(1): p. 25-33. [DOI:10.1016/j.riba.2015.12.001]
16. Babaei, S., R. Ghazavi, and M. Erfanian, Urban flood simulation and prioritization of critical urban sub-catchments using SWMM model and PROMETHEE II approach. Physics and Chemistry of the Earth, Parts A/B/C, 2018. 105: p. 3-11. [DOI:10.1016/j.pce.2018.02.002]
17. Chen, W., G. Huang, and H. Zhang, Urban stormwater inundation simulation based on SWMM and diffusive overland-flow model. Water Science and Technology, 2017. 76(12): p. 3392-3403. [DOI:10.2166/wst.2017.504]
18. Jiang, L., Y. Chen, and H. Wang, Urban flood simulation based on the SWMM model. Proceedings of the International Association of Hydrological Sciences, 2015. 368: p. 186-191. [DOI:10.5194/piahs-368-186-2015]
19. Liao, W., et al. Simulation and application on storm flood in Dongguan city based on SWMM. in 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering (MEIC-14). 2014. Atlantis Press. [DOI:10.2991/meic-14.2014.83]
20. Wanniarachchi, S. and N. Wijesekera, Using SWMM as a Tool for Floodplain Management in Ungauged Urban Watershed. Engineer: Journal of the Institution of Engineers, Sri Lanka, 2012. 45(1). [DOI:10.4038/engineer.v45i1.6944]
21. Juan, A., N. Fang, and P. Bedient, Flood Improvement and LID Modeling Using XP-SWMM. Houston, Rice University, 2013.
22. Burszta-Adamiak, E. and M. Mrowiec, Modelling of green roofs' hydrologic performance using EPA's SWMM. Water Science and Technology, 2013. 68(1): p. 36-42. [DOI:10.2166/wst.2013.219]
23. Jain, G.V., et al., Estimation of sub-catchment area parameters for Storm Water Management Model (SWMM) using geo-informatics. Geocarto International, 2016. 31(4): p. 462-476. [DOI:10.1080/10106049.2015.1054443]
24. Kim, S.E., et al., Stormwater Inundation Analysis in Small and Medium Cities for the Climate Change Using EPA-SWMM and HDM-2D. Journal of Coastal Research, 2018. 85(sp1): p. 991-995. [DOI:10.2112/SI85-199.1]
25. Kourtis, I., et al. Calibration and validation of SWMM model in two urban catchments in Athens, Greece. in International Conference on Environmental Science and Technology (CEST). 2017.
26. Rai, P.K., B. Chahar, and C. Dhanya, GIS-based SWMM model for simulating the catchment response to flood events. Hydrology Research, 2016. 48(2): p. 384-394. [DOI:10.2166/nh.2016.260]
27. Sharifan, R., et al., Uncertainty and sensitivity analysis of SWMM model in computation of manhole water depth and subcatchment peak flood. Procedia-social and behavioral sciences, 2010. 2(6): p. 7739-7740. [DOI:10.1016/j.sbspro.2010.05.205]