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Volume 36, Issue 4 (2021)                   GeoRes 2021, 36(4): 419-428 | Back to browse issues page
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Nahid M, Zand Moghaddam M, Karkeabadi Z. Flood Risk Assessment in Urban Systems using Flood Management Model; Case Study of District 4 of Tehran. GeoRes 2021; 36 (4) :419-428
URL: http://georesearch.ir/article-1-1141-en.html
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1- Department of Geography, Faculty of Humanities, Semnan Branch, Islamic Azad University, Semnan, Iran
* Corresponding Author Address: Islamic Azad University, University Town, 5 km of Damghan Street, Semnan, Iran. Postal Code: 3711135131 (mr.zand@semnaniau.ac.ir)
Abstract   (1765 Views)
Aims: Urban runoff and flood damage is one of the most important and fundamental issues in the field of urban management, which in recent decades has been strongly affected by the rapid growth of cities and increasing urbanization. Today, to show these processes, in the design and evaluation of urban drainage network system, the use of existing computer models has a special place to simulate the flow. The purpose of this study is to use the SWMM model to quantitatively simulate rainfall floods for District 4 of Tehran.
Methodology: In this research, using the capabilities of SWMM model for region 4 of Tehran, according to environmental factors, two plans of the best management strategies (BMP) under the garden and green roof climate scenario and a combination of both scenarios for maximum control Runoff has been done quantitatively and finally their efficiency in reducing the total volume of runoff out of the basin has been investigated.
Findings: The results of sensitivity analysis of the model showed that among the seven parameters studied in this study, the amount of CN, the percentage of impermeable areas, the roughness coefficient in impermeable areas and the equivalent width had a greater effect on peak flow change, respectively. According to the obtained results, the third scenario (simultaneous combination of the first and second scenarios) will have the greatest impact on reducing the flow depth and flow rate in the entire surface water collection network.
Conclusion: Considering the depth factor, in a total of four modes of model implementation, the third scenario has the most impact on Tehranpars channel (output 7) and the least impact on Yakhsaran channel (output 3) and if we consider the peak discharge factor for evaluation In general, the third scenario has the most impact on Tehranpars channel (output 7) and the second scenario has the least impact on output 4.
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