Investigation of Performance and Determination of Optimal Dimensions of Surface Runoff Collection Network Using SWMM Model

Document Type : Research Article


1 Civil Engineering, Water Tendency and Hydraulic Structures, Sharekord University, Iran

2 Assistant Professor of Civil Engineering, Faculty of Engineering, Sharekord University, Iran


Road flooding has always caused many problems in cities due to inadequate networks of the runoff collection. Therefore, it is essential to identify flood-prone areas and canals that have been flooded. In this study, the sufficiency of the Surface Runoff Collection Network in Shahrekord was investigated during 2, 5, and 10-year rainfall returns using the SWMM model. It should be noted that no studies have been conducted on the issue of urban runoff in this area until now. In this simulation, model calibration has been performed based on the discharge index at three and the depth index at two rainfall events. The error coefficients of NSE, RMSE, and BIAS% have been applied to compare the simulated model error with the observed values. The equivalent width index has been found as the most sensitive index of the model by sensitivity analyses. The validation has been performed on two discharge parameters and runoff depth, each in 2 separate rainfall events, in several random canals and nodes. The acceptable values for the error coefficients showed a high accuracy of the simulation. After the validation phase, the model has been run for 2, 5, and 10-year rainfall return periods, and it was found that flooding occurs in 19.4%, 20.68%, and 21.52% of canals, respectively. The locations of the flooded canals indicate that the southwestern part of the city will be flooded. The optimal dimensions of the canals to prevent flooding have been determined during the 10-year rainfall return period, and the volume of concrete needed to modify the dimensions of each canal has also been estimated.


Main Subjects

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