Volume 4, Issue 4 (6-2020)                   NMCE 2020, 4(4): 21-29 | Back to browse issues page

XML Print

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

Abbasi P, Aminnejad B, Ahmadi H. Combining Structural and Non-Structural Measures for Optimal Management of Urban Surface Runoff Collection (Case Study: Ariafar Bridge in Mianroud Canal). NMCE 2020; 4 (4) :21-29
URL: http://nmce.kntu.ac.ir/article-1-274-en.html
1- PhD Student of Civil Engineering, Construction Management, Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran. , peyman756@yahoo.com
2- Assistant Professor, Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran.
Abstract:   (567 Views)
Today, various structural and non-structural solutions are used to control and reduce the negative effects of floods in investigation and executive projects. But what is certain is that the optimal solution to minimize flood damage is a combination of structural and non-structural methods (planning and response measures). It is essential to provide these solutions in a metropolis like Tehran because the hydrographic network of Tehran runoff is sometimes incomplete during floods and is accompanied by severe flooding. Therefore, in this study, a combination of the mentioned methods were used for a part of Tehran's Mianroud canal (as one of the most important surface water management facilities in the catchment area of west Tehran) called Ariafar Boulevard Bridge. For this purpose, in the first step, severe accident hotspots along the route were investigated and then the capacity of passing on accident-prone routes was evaluated according to hydrological information under different scenarios (discharges with return periods of 5, 10, 25 and 100 -years). The results show the adequacy of channel capacity for a 10-year return period. But for the 25, 50 and 100-year discharge, we will face 8.88%, 28.93% and 50.81% capacity shortages, respectively. In the second step, considering the structural solutions, the methods of eliminating the capacity shortage of bottlenecks, including correcting the route, installing auxiliary routes, or destroying bridges that prevented the transfer of runoff in the canal route were carefully examined. The results showed that the combined use of structural and non-structural methods increases the effectiveness and significantly reduces the risk of flood spreading in the city.
Full-Text [PDF 1010 kb]   (471 Downloads)    
Type of Study: Research | Subject: General
Received: 2020/04/4 | Revised: 2020/05/4 | Accepted: 2020/06/4

1. [1] Nugroho, J., I. Soekarno, and D. Harlan. Model of Ciliwung River flood diversion tunnel using HEC-RAS software. in MATEC Web of Conferences. 2018. EDP Sciences. [DOI:10.1051/matecconf/201814703001]
2. [2] Peng, G., X. Junqiang, and C. Qian, A mechanics-based model of flood risk assessment and its application in a flood diversion zone. Advances in Water Science, 2017. 28(6): p. 858-867.
3. [3] Heydari, M., F. Othman, and M. Noori, Optimal Operation Of Multiple And Multi Purpose Reservoirs Systems Using Non-Dominated Sorting Genetic Algorithm (Nsga-Ii). Feb-Fresenius Environmental Bulletin, 2016: p. 2935.
4. [4] Heydari, M., F. Othman, and K. Qaderi, Developing optimal reservoir operation for multiple and multipurpose reservoirs using mathematical programming. Mathematical Problems in Engineering, 2015. 2015. [DOI:10.1155/2015/435752]
5. [5] Heydari, M., F. Othman, and M. Taghieh, Optimization of multiple and multipurpose reservoir system operations by using matrix structure (Case study: Karun and Dez Reservoir Dams). PloS one, 2016. 11(6): p. e0156276. [DOI:10.1371/journal.pone.0156276]
6. [6] Mohammed, H., Optimization of multipurpose reservoir operation using evolutionary algorithms/Mohammed Heydari. 2017, University of Malaya.
7. [7] Othman, F., et al. Preliminary Review of the Optimal Operation of Reservoir Systems using Optimization and Simulation Methods. in International Conference On Water Resources "Sharing Knowledge Of Issues In Water Resources Management To Face The Future. 2012.
8. [8] ShahiriParsa, A., et al., Introduction to linear programming as a popular tool in optimal reservoir operation, a review. Advances in Environmental Biology, 2015. 9(3): p. 906-917.
9. [9] Islam, M.F., B. Bhattacharya, and I. Popescu, Flood risk assessment due to cyclone-induced dike breaching in coastal areas of Bangladesh. Natural Hazards and Earth System Sciences, 2019. 19(2): p. 353-368. [DOI:10.5194/nhess-19-353-2019]
10. [10] Kundzewicz, Z., et al., Opinion: Flood-risk reduction: Structural measures and diverse strategies. Proceedings of the National Academy of Sciences, 2018. 115(49): p. 12321-12325. [DOI:10.1073/pnas.1818227115]
11. [11] Sivakumar, S., Flood mitigation strategies adopted in Sri Lanka a review. International Journal of Scientific and Engineering Research, 2015. 3(6).
12. [12] Yufanga, H. and L. Chuantenga, Process research on estuarine turbidity maximum and mouth bar of Yangtze Estuary after the improvement works. Procedia Engineering, 2015. 116: p. 80-87. [DOI:10.1016/j.proeng.2015.08.267]
13. [13] Yujing, Y. and L. Zhiming, River Channel Improvement and River Ecological Restoration. Journal of Landscape Research, 2019. 11(4).
14. [14] Booth, E.G., et al., Is groundwater recharge always serving us well? Water supply provisioning, crop production, and flood attenuation in conflict in Wisconsin, USA. Ecosystem Services, 2016. 21: p. 153-165. [DOI:10.1016/j.ecoser.2016.08.007]
15. [15] Masoud, A.A., Runoff modeling of the wadi systems for estimating flash flood and groundwater recharge potential in Southern Sinai, Egypt. Arabian journal of Geosciences, 2011. 4(5-6): p. 785-801. [DOI:10.1007/s12517-009-0090-9]
16. [16] Burby, R.J., Flood insurance and floodplain management: the US experience. Global Environmental Change Part B: Environmental Hazards, 2001. 3(3): p. 111-122. [DOI:10.3763/ehaz.2001.0310]
17. [17] Michel-Kerjan, E.O., Catastrophe economics: the national flood insurance program. Journal of economic perspectives, 2010. 24(4): p. 165-86. [DOI:10.1257/jep.24.4.165]
18. [18] Heydari, M., M.S. Sadeghian, and M. Moharrampour. Flood Zoning Simulation byHEC-RAS Model (Case Study: Johor River-Kota Tinggi Region). in International Postgraduate Seminar, Organized by Faculty of Civil Engineering. 2013.
19. [19] ShahiriParsa, A., et al., Floodplain zoning simulation by using HEC-RAS and CCHE2D models in the Sungai Maka river. Air, Soil and Water Research, 2016. 9: p. ASWR. S36089. [DOI:10.4137/ASWR.S36089]
20. [20] ShahiriParsa, A., et al. Introduction to floodplain zoning simulation models through dimensional approach. in International Conference on Advances in Structural, Civil and Environmental Engineering-SCEE2013, Kuala Lumpur, Malaysia. 2013.
21. [21] Chang, L.-C., et al., Building an intelligent hydroinformatics integration platform for regional flood inundation warning systems. 2019, Multidisciplinary Digital Publishing Institute. [DOI:10.3390/w11010009]
22. [22] Chang, M.-J., et al., A support vector machine forecasting model for typhoon flood inundation mapping and early flood warning systems. Water, 2018. 10(12): p. 1734. [DOI:10.3390/w10121734]
23. [23] Lamichhane, N. and S. Sharma, Effect of input data in hydraulic modeling for flood warning systems. Hydrological sciences journal, 2018. 63(6): p. 938-956. [DOI:10.1080/02626667.2018.1464166]

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

Send email to the article author