Document Type : پژوهشی

Authors

1 Natural Engineering, Faculty of Natural Resources and Environment, Malayer University, Malayer, Iran.

2 Professor of Natural Engineering Department, Faculty of Natural Resources and Environment, Malayer University, Malayer, Iran

Abstract

In this research, the flood-blocking nodes of the drainage network in Khako (Faqira-Khidr) urban basin of Hamedan were measured and evaluated using the SWMM model. The results showed that the infiltration and runoff height of the project in the SCS method are equal to 50.86 and 16.14 mm, respectively, and this indicates that the SCS method is a more accurate assessment of the infiltration and runoff values ​​for the Hamadan urban watershed. and has an acceptable efficiency. The results show that out of the total rainfall of 120 mm, 33 mm is related to infiltration losses and 87 mm is related to surface runoff, and the flow volume is equal to 2.41 million cubic meters, which is 1.98 1 million cubic meters is related to Faqireh sub-basin and 0.43 million cubic meters is related to Khizr sub-basin. According to the efficiency coefficient of NS, which is calculated as 0.66 for the peak discharge and 0.73 for the flood volume, and these numbers are acceptable. The results showed that the highest volume of rainfall runoff of the project with 1.28 million cubic meters is related to Faqirah sub-basin due to the physical development of Hamedan city in recent years in this sub-basin and the lowest amount with 0.46 million cubic meters is related to the sub-basin. It is Khedrkhako. The results of this research showed that residential uses have the largest share in the flood potential of the study area.

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Ahmadzadeh, H., Saeedabadi, R., & Nouri, A. (2014). Investigation and zoning of flood-prone areas. With an emphasis on urban floods (case study: Every Baku). Hydrogeomorphology Quarterly, 5(2).
Browne, S., Lintern, A., Jamali, B., Leitão, J. P., &­ Bach, P. M. (­2021). Stormwater management impacts of small urbanising towns: The necessity of investigating the ‘devil in the detail’. Science of the Total Environment, 757, 143835.
Esfandiari; F, Pourganji; Z., Mostafazadeh; R., Aghaei, M. (2022) Comparison of effective precipitation conversion methods to surface runoff in the simulation of flood hydrograph of Nenekaran basin, Ardabil province, Hydrogeomorphology Journal, Volume 9, Number 32, November 1401, page 63-86.
Ghaderi Dehkordi, N., Soleimani, K., Kavian, A., & Rashidpour M. (2019). Using the SWMM model in determining the ability to collect and exploit the runoff of Babolsar city, Mazandaran province, Journal of Watershed Engineering and Management , 4.
Hosseinzadeh; M, M, Salehipour; , A.R., Rezaian Zarandini, F. (2023) Zonificación de la sensibilidad de lassubcuencasdela cuenca Nakarood a las inundaciones, Neka-Mazandaran, Hydrogeomorphology Journal, Volumen 10, Número 34, mayo de 1402, páginas 75-100.
Liu, G., Chen, L., Shen, Z., Xiao, Y., & Wei, G. (2019). A fast and robust simulation-optimization methodology for stormwater quality management. Journal of Hydrology, 576, 520-527.
Nasehpour, M., Khozaimenejad, H., Fortun, E. (2019). Evaluation of the effects of urban development on runoff using the SWMM model (case study: Qom province), Environmental Science and Technology, 22( 12)­, 79-89.
Nouri, Hosseini, S. M., Mansourian, H. (2023). Explaining the necessity of using new methods in the management of urban runoff with the approach of increasing resilience against floods (case example: Shiraz city), urban planning geography research, 38, 27 – 49.
Pyke, C., Warren, M.P., Johnson, T., James, Jr., LaGro, J.Jr., Scharfenberg, J., Groth, P., Freed, R., Scheoeer, W., & Main, E. (2011). Assessment of low impact development for managing storm water with changing precipitation due to climate change. Landscape Urban Plan, 103, 166-173.
Rezaei, F., Behermand, A., Vahad Bardi Sheikh, Dasturani, M., & Taj Bakhsh, M. (2017). Determining the most important parameters affecting the amount of urban runoff using the SWMM model (case study: Mashhad city, region 9). research paper Watershed management. 9(18), 135 -145.
Rossman, L.A. (2013). Storm Water Management Model User’s Manual Version 5.0. EPA/600/R-05/040, National Risk Management Research Laboratory. United States Environmental Protection Agency, Cincinnati, Ohio.
Shahbazi, A., Khalighi Sigarodi, S., Malekian, A., & Selajgeh, A. (2016). Sensitivity analysis of the input parameters of SWMM urban runoff management model (Case study: Mahdasht city (watershed studies) research and construction, 30(14), 67 - 75.
Shahedi, K., Froutan Danesh, M. (2022) Simulation of river runoff using the WetSpa model in the Ghorchai catchment, Hydrogeomorphology Journal, Volume 9, Number 32, November 1401, page 25-42.
Smith, D., Li, J., & Banting, D. (2 5) A PCSWMM/GIS-based water balance model for the ReesorCreek watershed, Atmospheric Research, 77­, 3­88–­40­6.
Walsh, C. J., Booth, D. B., Burns, M. J., Fletcher, T.­D., Hale, R. L., Hoang, L. N., & Wallace, A. ( 2016). Principles for urban stormwater management to protect stream ecosystems, Freshwater Science, 35(1), 398-411.
Wang, M., Zhang, D.Q., Adhityan, A., Ng, W.J., Dong, J.W., & Tan, S.K. (2018). Conventional and holistic urban stormwater management in coastal cities: a case study of the practice in Hong Kong and Singapore, J Water Resour Dev, 34(2), 192–212.
Wang, Y., Wang, H., Wang, M., Wu, Y., Liu, H., & Huang, H. (­2020). Study on the Simulation and Evaluation of LID Adaptation Measures Based on SWMM, Journal of Water Resources Research, 9(1), 22-32.
Yar Ahmadi, Y., Qadawi, R., & Ghasemieh, H. (2020). Evaluating the efficiency of the SWMM model in order to investigate the flood nodes of the drainage network under the influence of climate change (Case study: East of six districts of Tehran municipality), 4(4), 326 – 338.
Zahedi Khamene, H., & Khodashanas, E. (2021). Investigating the performance of the surface water collection system and analyzing the sensitivity of the parameters affecting it (studying the 10th and 11th regions of Mashhad), Irrigation and Drainage Journal, Volume 15, Number 5 - serial number 89 Azar and 1400, pp, 1067-1080.
Zeng, Z., Yuan, X., Liang, J., & Li, Y. (­2021). Designing and implementing an SWMM-based web service framework to provide decision support for real-time urban stormwater management. Environmental Modelling & Software, 135, 104887.