Volume 28, Issue 3 (Fall 2024)                   jwss 2024, 28(3): 1-15 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Abdullahi M, Abedi Koupai J, Matinzadeh M. The Effect of the Sub-Basins Area and Methods of Calculating Concentration Time on the Simulation of Urban Runoff Volume Using SewerGEMS Software. (Case Study: Shahrekord). jwss 2024; 28 (3) :1-15
URL: http://jstnar.iut.ac.ir/article-1-4421-en.html
Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran. , koupai@cc.iut.ac.ir
Abstract:   (322 Views)
Today, the problems related to floods and inundation have increased, particularly in urban areas due to climate change, global warming, and the change in precipitation from snow to rain. Therefore, there has also been an increasing focus on rainfall-runoff simulation models to manage, reduce, and solve these problems. This research utilized SewerGEMS software to explore different scenarios to evaluate the model's performance based on the number of sub-basins (2 and 8) and return periods (2 and 5 years). Additionally, four methods of calculating concentration time (SCSlag, Kirpich, Bransby Williams, and Carter) were compared to simulate flood hydrographs in Shahrekord city. The results indicated that increasing the return period from 2 to 5 years leads to an increase in peak discharge in all scenarios. Furthermore, based on the calculated continuity error, the Kirpich method is preferred to estimate the concentration-time in scenarios with more sub-basins and smaller areas. For the 2-year return period, a continuity error of 4% was calculated for the scenario with 2 sub-basins, while for the 5-year return period, the continuity error was 19%. On the other hand, the SCSlag method is preferred to estimate the concentration-time in scenarios with fewer sub-basins and larger areas. For the scenario with 8 sub-basins, a continuity error of 16% was calculated for the 2-year return period, and 11% for the 5-year return period.
Full-Text [PDF 1027 kb]   (297 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2024/05/2 | Accepted: 2024/06/9 | Published: 2024/10/31

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb