Enhancing the effectiveness of urban drainage system design with an improved ACO-based method

Yin, Hang; Zheng, Feifei; Duan, Huan‐Feng; Zhang, Qingzhou; Bi, Weiwei

doi:10.1016/j.jher.2020.11.002

Cited by 14 publications

(5 citation statements)

References 29 publications

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“…The decision rule in the AS rank algorithm is the same as a rule used in the AS algorithm (Equation ( 8)). The updating process of the pheromone rule is also the same as a rule used in the AS algorithm, except that Dt rank i,j (t) is used instead of Dt i,j (t) which is obtained from the following equation (Yin et al 2020):…”

Section: The Rank-based Ant System (As Rank )mentioning

confidence: 99%

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

Lord

Ghasabsaraei

Movahedinia

et al. 2021

Water Science and Technology

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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 (1USD = 202000IRR), respectively. For the selected sections, the optimal bed width is 6.97, 8.97, and 10.93 meters, and the optimal depth is 3.68, 4.81, and 4.04 meters, 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 percent 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.

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Section: The Rank-based Ant System (As Rank )mentioning

confidence: 99%

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

Lord

Ghasabsaraei

Movahedinia

et al. 2021

Water Science and Technology

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show abstract

“…The climate change scenario and changes in land use with the increase in the urbanization process can reduce soil permeability (Ebrahimian, Wilson, & Gulliver, 2016, (Ebrahimian, Gulliver, & Wilson, 2018Malaekepour, Yazdandoost, & Tahmasebi Birgani, 2013), combined with inefficient drainage systems, increasingly generate flooding in urban centers (Panos et al, 2021) (Dong, Huang, & Zeng, 2017;Pappalardo & La Rosa, 2020), causing significant impacts on society and the environment (Shariat, Roozbahani, & Ebrahimian, 2019;Yin, Zheng, Duan, Zhang, & Bi, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…To deal with these floods, there is a need to develop adequate projects of urban drainage systems (UDS), given their functionality, incisively influencing the severity of the floods (Wang et al, 2021;Yin et al, 2020). In the context of studies on the importance of drainage systems, Sohn, Brody, Kim, and Li (2020) evaluated the impacts of three systems (based on storage, transport, and infiltration) to check their importance.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of urban drainage systems: an analytic hierarchy process approach for the Jaracati basin in Brazil

2023

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The efficiency of drainage systems in urban centers and especially in their peripheral regions has deserved more and more special attention since their interrelationship with social and environmental aspects is associated with the performance of drainage infrastructures. Integrated urban water management is a major factor in the effectiveness of an urban drainage system. In large cities, negative effects caused by the disorderly urbanization process, especially those related to rainwater runoff, are increasingly present. An evaluation model of urban drainage systems was generated using System Fragility Indicators (IFS) and their ranking via Analytic Hierarchy Process (AHP), in the Jaracati River basin, Maranhão State, Brazil. Indicators were measured through the evaluation of the system and the experience of specialists in drainage systems. The results obtained allowed for the consolidation of a model to support planning and decision-making in the assessment processes of measures to mitigate socio-environmental impacts involved in the urban drainage of a watershed, with performance indicators capable of guaranteeing the support of a model being verified measurement of performance parameters of urban drainage systems.

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“…However, the need to find minimal cost designs has led researchers to optimization algorithms. Different evolutionary techniques have been tested for the optimization of drainage networks, highlighting an ant colony optimization algorithm [21,22], simulated annealing [15,23], harmony search algorithm [24,25], and taboo search algorithm [26]. All of these techniques show good results in different cases studied.…”

Section: Introductionmentioning

confidence: 99%

Search Space Reduction for Genetic Algorithms Applied to Drainage Network Optimization Problems

Bayas-Jiménez

Martínez-Solano

Iglesias-Rey

et al. 2021

Water

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In recent years, a significant increase in the number of extreme rains around the world has been observed, which has caused an overpressure of urban drainage networks. The lack of capacity to evacuate this excess water generates the need to rehabilitate drainage systems. There are different rehabilitation methodologies that have proven their validity; one of the most used is the heuristic approach. Within this approach, the use of genetic algorithms has stood out for its robustness and effectiveness. However, the problem to be overcome by this approach is the large space of solutions that algorithms must explore, affecting their efficiency. This work presents a method of search space reduction applied to the rehabilitation of drainage networks. The method is based on reducing the initially large search space to a smaller one that contains the optimal solution. Through iterative processes, the search space is gradually reduced to define the final region. The rehabilitation methodology contemplates the optimization of networks using the joint work of the installation of storm tanks, replacement of pipes, and implementation of hydraulic control elements. The optimization model presented uses a pseudo genetic algorithm connected to the SWMM model through a toolkit. Optimization problems consider a large number of decision variables, and could require a huge computational effort. For this reason, this work focuses on identifying the most promising region of the search space to contain the optimal solution and to improve the efficiency of the process. Finally, this method is applied in real networks to show its validity.

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Enhancing the effectiveness of urban drainage system design with an improved ACO-based method

Cited by 14 publications

References 29 publications

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

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

Performance evaluation of urban drainage systems: an analytic hierarchy process approach for the Jaracati basin in Brazil

Search Space Reduction for Genetic Algorithms Applied to Drainage Network Optimization Problems

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