Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis

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 al...

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Autores principales:	Sara Azargashb Lord, Mojtaba Hamzeh Ghasabsaraei, Maryam Movahedinia, Seied Mehdy Hashemy Shahdany, Abbas Roozbahani
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	aco canal restoration node flooding optimization swmm Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/514b4e6382654339ac0c354c4add4983
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spelling	oai:doaj.org-article:514b4e6382654339ac0c354c4add49832021-11-06T11:18:07ZRedesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis0273-12231996-973210.2166/wst.2021.273https://doaj.org/article/514b4e6382654339ac0c354c4add49832021-08-01T00:00:00Zhttp://wst.iwaponline.com/content/84/4/820https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732An 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.;Sara Azargashb LordMojtaba Hamzeh GhasabsaraeiMaryam MovahediniaSeied Mehdy Hashemy ShahdanyAbbas RoozbahaniIWA Publishingarticleacocanal restorationnode floodingoptimizationswmmEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 4, Pp 820-839 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	aco canal restoration node flooding optimization swmm Environmental technology. Sanitary engineering TD1-1066
spellingShingle	aco canal restoration node flooding optimization swmm Environmental technology. Sanitary engineering TD1-1066 Sara Azargashb Lord Mojtaba Hamzeh Ghasabsaraei Maryam Movahedinia Seied Mehdy Hashemy Shahdany Abbas Roozbahani Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
description	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.;
format	article
author	Sara Azargashb Lord Mojtaba Hamzeh Ghasabsaraei Maryam Movahedinia Seied Mehdy Hashemy Shahdany Abbas Roozbahani
author_facet	Sara Azargashb Lord Mojtaba Hamzeh Ghasabsaraei Maryam Movahedinia Seied Mehdy Hashemy Shahdany Abbas Roozbahani
author_sort	Sara Azargashb Lord
title	Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
title_short	Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
title_full	Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
title_fullStr	Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
title_full_unstemmed	Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis
title_sort	redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern tehran metropolis
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/514b4e6382654339ac0c354c4add4983
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Redesign of stormwater collection canal based on flood exceedance probability using the ant colony optimization: study area of eastern Tehran metropolis

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