Optimal Operation of Urban Storm Detention Ponds for Flood Management
- 35 Downloads
Operation of existing flood control facilities is one the efficient method for urban stormwater management. In order to quantitatively manage urban floods, operational policies of facilities should be adapted, before need to the enlargement of hydro-infrastructures with high expenditure. A new optimization based methodology is proposed in this paper for urban detention pond operation. The approach integrates an evolutionary algorithm known as Differential Evolution (DE) with EPA-SWMM simulation model to effectively manage detention storage capacities during flood periods. The proposed method is applied to in-line detention ponds at central part of Tehran Stormwater Drainage System (TSDS) to attain optimal rule curves of detention pond operation. Optimal rule curves are compared with the current method of operation and show that the proposed method can decrease network flooding of the smallest and largest extreme rainfall events more than75% and 30% respectively, and in average 55% considering all extreme rainfalls during 1979 to 2013. Therefore, the approach is recommended to replace with the current method of pond operating.
KeywordsOptimization Simulation Flood Operation Urban storm DE
- Chang FJ, Chang KY, Chang LC (2008) Counterpropagation fuzzy-neural network for city flood control system. J Hydrol 358(1):21–31Google Scholar
- EPA (2015) Storm Water Management Model User’s Manual Version 5.1, EPA- 600/R-14/413bGoogle Scholar
- Garofalo G, Giordano A, Piro P, Spezzano G, Vinci A (2017) A distributed real-time approach for mitigating CSO and flooding in urban drainage systems. J Netw Comput Appl 78:30–42. https://doi.org/10.1016/j.jnca.2016.11.004
- Labadie, J. W. (1993). Optimal use of in-line storage for real-time urban stormwater control. Urban storm drainage. Water Resources Publications, Inc, Highlands Ranch, CO.Google Scholar
- MGCE (2011) Tehran Stormwater Management Master Plan, Volume 4: Existing Main Drainage Network, Part 2: Hydraulic Modelling & Capacity Assessment, Mahab Ghods Consultant Engineers CompanyGoogle Scholar
- Reddy M, Kumar D (2007) Multiobjective differential evolution with application to reservoir system optimization. J Comput Civ Eng:136–146Google Scholar
- Moosavian N, Lence BJ (2017) Nondominated sorting differential evolution algorithms for multiobjective optimization of water distribution systems. J Water Resour Plan Manag 143(4). https://doi.org/10.1061/(ASCE)WR.1943-5452.0000741
- Storn, R., Price, K., (1995) DE a simple and efficient adaptive scheme for global optimization over continuous space, Technical Report TR-95-012, ICSI, 1995Google Scholar
- Vasan A, Simonovic SP (2010) Optimization of water distribution network design using differential evolution. J Water Resour Plan Manag 136(2). https://doi.org/10.1061/(ASCE)0733-9496(2010)136:2(279).
- Yazdi J, Doostparast Torshizi A, Zahraie B (2016a) Risk based optimal design of detention dams considering uncertain inflows. Stoch Environ Res Risk Assess 30(5):1457–1471Google Scholar
- Yazdi J, Choi HS, Kim JH (2016b) A methodology for optimal operation of pumping stations in urban drainage systems. J Hydro Environ Res 11:101-112Google Scholar