2013
DOI: 10.1007/s13762-013-0330-0
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Multi-objective optimal layout of distributed storm-water detention

Abstract: The determination of locations and sizes for such a system is important in a drainage master plan or a storm-water management system. However, the distribution of detentions in the upstream and midstream is often more dispersed using many combinations of volume scales. This paper uses the non-dominated sorting genetic algorithm combined with the Storm Water Management Model to explore and calculate the optimal layout scheme for decentralized rainwater detention. The purpose is to find a design and planning met… Show more

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Cited by 42 publications
(27 citation statements)
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“…Then the subcatchment is drained through the stormwater network. The rainfall events include 2-h design rainfall events with a Chicago hyetograph [53] and 6-h rainfall events with an actual rainfall profile. Different design storms will give the additional insight in the system behavior, helping to analyze the operation of the system when suffered different rainfall patterns.…”
Section: Model Inputs and Parametersmentioning
confidence: 99%
See 1 more Smart Citation
“…Then the subcatchment is drained through the stormwater network. The rainfall events include 2-h design rainfall events with a Chicago hyetograph [53] and 6-h rainfall events with an actual rainfall profile. Different design storms will give the additional insight in the system behavior, helping to analyze the operation of the system when suffered different rainfall patterns.…”
Section: Model Inputs and Parametersmentioning
confidence: 99%
“…Furthermore, storage tank provision is used as another adaptation measure for the tree drainage systems to reduce the flood volume. The cost function for tank is adapted from Tao et al (2014) [53] as below C = 2.195 × 10 4 × Volume 0.69 (6) where C is the cost of the tank, Yuan; and Volume is the provided volume of the storage tank, m 3 .…”
Section: Cost Of the Pipes And Tanksmentioning
confidence: 99%
“…Non-dominated sorting genetic algorithm II which is proposed by Deb et al (2002) is the most famous multiobjective optimization algorithm, which is widely used for generating the Pareto frontier (that is a set of solutions which would represent the best trade-off among the objectives) and satisfying both goals of Pareto multiobjective optimization (Tao et al 2014;Erfani et al 2013). Fast non-dominated sorting procedure, fast crowded distance estimation procedure, and simple crowded comparison operator are the special characteristics of NSGA-II (Deb et al 2002).…”
Section: Non-dominated Sorting Genetic Algorithm (Nsga-ii)mentioning
confidence: 99%
“…Research regarding structural measures to reduce inundation include investigating the optimal capacity and location of detention reservoirs [2][3][4][5], and analysis/design of various facilities such as rainwater tanks, rainwater storages and trenches [6][7][8][9][10][11][12][13], and the use of pump stations in conjunction with detention reservoirs [14] while research into non-structural measures Table 1. Classification of the measures employed by previous studies to reduce inundation in urban drainage systems.…”
Section: Introductionmentioning
confidence: 99%