Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
| Autor: | Seied Mehdy Hashemy Shahdany, Maryam Movahedinia, Abbas Roozbahani, Sara Azargashb Lord, Mojtaba Hamzeh Ghasabsaraei |
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| Rok vydání: | 2021 |
| Předmět: |
aco
canal restoration Environmental Engineering Flood myth node flooding swmm Ant colony optimization algorithms Stormwater 0207 environmental engineering 02 engineering and technology 010501 environmental sciences Environmental technology. Sanitary engineering 01 natural sciences Environmental science 020701 environmental engineering Water resource management optimization TD1-1066 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Water Science and Technology, Vol 84, Iss 4, Pp 820-839 (2021) |
| ISSN: | 1996-9732 0273-1223 |
| Popis: | An increase in stormwater frequency following the rapid development of urbanization has drawn attention to the mitigating strategies in recent decades. For the first time, the present study aims to conduct a local rehabilitation in stormwater collecting systems by (i) detecting the critical nodes along with the canal network and (ii) redesigning the critical canal reaches using ant colony optimization (ACO) to create maximum capacity for flood discharge with minimum reconstruction cost while considering the probability of exceedance of the flood as a constraint. Hence, using the SWMM model, the flow in the collection system was simulated, and the inundation points in the study area in the eastern Tehran metropolis were determined. After determining the critical points, the hydraulic stimulation model for the selected canal flows was developed using HEC-RAS software to accurately simulate each critical bridge's flow. Then, the optimal parameters for the canal bed width and canal depth were obtained using ACO and defining a probability objective function using the flood probability exceedance as the redesign constraint. The results from the optimizer were compared with those of the LINGO nonlinear model. Finally, the operational performance of the redesigned system was evaluated using the optimal selected parameters. The results showed that in redesigning the studied canals, the two widening and deepening options are needed to obtain a discharge with sufficient flow capacity in various return periods (RPs). The optimization results for the first to third critical sections for a design discharge with a 100-year RPs showed that the calculated cost was 19.765(*106), 13.327(*106), and 43.139(*106) IR rials (1 USD = 202000 IRR), respectively. For the selected sections, the optimal bed width is 6.97, 8.97, and 10.93 m, and the optimal depth is 3.68, 4.81, and 4.04 m, respectively. The results indicate that the local modification in the eastern flood control canal adequately improved inundation problem reduction in various RPs – i.e., for a 10-year RP, the number of node flooding dropped from 4 to zero, the inundated area from 17% to zero, and the overflow volume from (10–45) to zero. It also reduced overflow volume from (30–65), (43–74), and (70–92) in the status quo to (4–12), (11–27), and (24–36) percent for precipitations with 25, 50 and 100-year RPs, respectively. HIGHLIGHTS Redesigning critical segments in stormwater collection system was conducted.; SWMM model was performed to identify the probable critical points along with the system.; A preprocessing analysis included field visiting, brainstorming sessions and hydraulic modelling with Hec-Ras was conducted.; The optimal redesigning of the critical points was conducted based on the flood exceedance probability via ACO and LINGO. |
| Databáze: | OpenAIRE |
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