JWSS - Journal of Water and Soil Science

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Abdollahi M A, Abedi Koupai J, Matinzadeh M M. Evaluation of the Efficiency of the SewerGEMS Model in Simulating the Hydraulic Performance of the Stormwater Collection Network (Case Study: Shahrekord). jwss 2025; 29 (4) :1-16
URL: http://jstnar.iut.ac.ir/article-1-4460-en.html

Urban floods and stormwater runoff are among the most significant environmental and social challenges in urban areas, caused by the accumulation of rainwater and the inadequacy of stormwater collection networks. The performance of the SewerGEMS software in analyzing rainfall events and evaluating the adequacy of the stormwater collection network in Shahrekord City under various conditions has been examined. Only two of the six observed rainfall events could be simulated. In the event of 06/11/1403 (Persian calendar), the observed peak discharge was approximately 1850 liters per second. In contrast, the simulated discharge for the two-sub-basin scenario was around 1750 liters per second, and for the eight-sub-basin scenario, about 1350 liters per second. The results of the two-sub-basin scenario are more reliable. In the event of 27/11/1403, the observed peak discharge was approximately 2000 liters per second, while the simulated discharge for the two-sub-basin scenario was around 1850 liters per second, and for the eight-sub-basin scenario, about 1400 liters per second. This demonstrates that the results for the two-sub-basin scenario are more accurate. The adequacy of the network was then evaluated for return periods of 2 years and 5 years. The results indicated that the stormwater collection network of Shahrekord is generally adequate; however, some areas, such as sections of the Bouali and 13 Aban canals, have deficiencies that lead to local flooding. Finally, recommendations such as identifying locations for artificial recharge basins and continuously monitoring and inspecting the canals, particularly before the rainy season, are proposed to improve the performance of the Shahrekord stormwater collection network and reduce flood-related risks.