Hydraulic Simulation to Find Bottlenecks and Potential Flood Points in the Main Runoff Collection Channel by HEC-RAS 5 Model (Mianroud Canal, Tehran)

Document Type : Original Article


1 PhD Student of Civil Engineering, Construction Management, Islamic Azad University, Roodehen Branch

2 assistant Professor, Faculty of Civil Engineering, Islamic Azad University, Roodehen Branch

3 Assistant Professor, Faculty of Civil Engineering, Islamic Azad University, Roodehen Branch


Currently, floods are one of the biggest threats to social security and sustainable development, and are among the most devastating and costly natural hazards. In recent decades, studies on urban flooding have increased and there has been a leap forward in flood risk management. The management of runoff and floods in the metropolis of Tehran is also more important due to its location at the foot of the mountain, leveling the land, occupying the privacy of the Channels, high relative density of housing and population and improper use of the Channels. For this purpose, in this study, the main Channel collecting surface runoff in the second district of Tehran (known as Flood Diversion Channel of West Tehran) was examined. The HEC-RAS 5 model was used for hydraulic simulation to flood the area and identify critical points in the area. Two parameters, speed and depth, were used as important parameters to assess risk. Studies conducted in this study, as well as a general comparison between flood risk zoning methods, show that the use of combined models with different factors in determining flood risk will have more appropriate results. The use of flow energy in flood risk assessment and considering the two components of depth and speed and their targeted combination will lead to the verification of results. In addition to the above, it seems appropriate to provide appropriate zoning for potential flood hazards, to identify safe areas, to provide relief routes, to economically justify reorganization plans, to flood flood-affected lands, and to manage floods.


[1]-Shahiri Parsa, A., 2016, Flood plain zoning simulation by using HEC-RAS and CCHE2D models in the Sungai Maka river, Air, Soil and Water Research, 9, p. ASWR. S36089.
[2]-Salarian, M., Shokri, Z. and Heydari, M., 2014, Determination of the Best Model for Flood Flows in the Western Basin of Lake Urmia, Journal of River Engineering, 2(4), 21-35.
[3]-Bathrellos, G., 2016, Urban flood hazard assessment in the basin of Athens Metropolitan city, Greece, Environmental Earth Sciences, 75(4), 319-340.
[4]-Yin, J., 2016, Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China. Journal of hydrology, 537, 138-145.
[5]-Youssef, A.M., Pradhan, B., and Sefry, S. A., 2016, Flash flood susceptibility assessment in Jeddah city (Kingdom of Saudi Arabia) using bivariate and multivariate statistical models. Environmental Earth Sciences, 75(1), 12-23
[6]-Lee, S., 2017, Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea, Geomatics, Natural Hazards and Risk, 8(2), 1185-1203.
[7]-Chan, F.K.S., 2018, “Sponge City” in China—a breakthrough of planning and flood risk management in the urban context, Land use policy, 76, 772-778.
[8]-Mei, C., 2018, Integrated assessments of green infrastructure for flood mitigation to support robust decision-making for sponge city construction in an urbanized watershed, Science of the Total Environment, 639, 1394-1407.
[9]- Lyu, H.-M., 2019, Perspectives for flood risk assessment and management for mega-city metro system, Tunneling and Underground Space Technology, 84, 31-44.
[10]-Hu, M., 2018, Flood mitigation by permeable pavements in Chinese sponge city construction, Water, 10(2), 172-189.
[11]-Zhu, H., 2019, Simulation study on effect of permeable pavement on reducing flood risk of urban runoff. International Journal of Transportation Science and Technology, 8(4), 373-382.
[12]-ShahiriParsa, A., Vuatalevu, N. Q. and Heydari, M., 2013, Introduction to floodplain zoning simulation models through dimensional approach.
[13]-Heydari, M., Sadeghian, M. S. and Moharrampour, M., Flood Zoning Simulation by HEC-RAS Model (Case Study: Johor River-Kota Tinggi Region).
[14]-Parhi, P. K., Sankhua, R. and Roy, G., 2012, Calibration of channel roughness for Mahanadi River,(India) using HEC-RAS model, Journal of Water Resource and Protection, 4(10), 847-850.
[15]-Alaghmand, S., 2012, 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, 2(3), 270-291.
[16]-Patel, D. P., 2017, 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, 89(1), 93-130.
[17]-Quirogaa, V. M., 2016, Application of 2D numerical simulation for the analysis of the February 2014 Bolivian Amazonia flood: Application of the new HEC-RAS version 5., Ribagua, 3(1), 25-33.
[18]-Lee, C.-H. and Lee, T. G., 2016, Evaluation of an applicability of HEC-RAS 5.0 for 2-D flood inundation analysis, Journal of the Korea Academia-Industrial cooperation Society, 17(4), 726-733.
[19]- Brunner, G. W. 2002, Hec-ras (river analysis system), in North American Water and Environment Congress & Destructive Water, ASCE.
[20]-Khattak, M. S., 2016, Floodplain mapping using HEC-RAS and ArcGIS: a case study of Kabul River, Arabian Journal for Science and Engineering, 41(4), 1375-1390.