New Approach for Optimization of Urban Drainage Systems

Li, Guiyi; Matthew, Robert

doi:10.1061/(asce)0733-9372(1990)116:5(927)

Cited by 85 publications

(77 citation statements)

References 9 publications

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“…However, their dia meter is not necessarily the smallest feasible. Li and Matthew (1990) found in their work that a balance between minimum buried depth and other feasible slopes resulted in better results than either extreme. The optimisation procedure should be repeated for multiple values of γ b to determine the best value.…”

Section: Required Spare Capacitymentioning

confidence: 94%

“…Walters (1985) used DP for simultaneous layout and size optimisation, and his method could be used to drain a set of sources with fixed positions. Li and Matthew (1990) used discrete differential dynamic programming (DDDP), which utilised an iterative procedure to generate the layout, and then to size the sewers and pumps while keeping the layout fixed. DDDP has some significant drawbacks -it restricts the search space and reduces the probability of locating the global optimum.…”

Section: Hydraulic Optimisationmentioning

confidence: 99%

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Sewer network design: Heuristic algorithm for hydraulic optimisation

Villiers¹,

Rooyen

Middendorf

2017

J. S. Afr. Inst. Civ. Eng.

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For a given sewer network layout and choice of pipe material, the total installed cost of the network is determined mainly by the pipe diameters and slopes. Hydraulic design optimisation is the task of determining suitable pipe diameters and slopes so as to minimise the installed cost of the network. This is a complex problem for which numerous solution approaches have been proposed. Recently the use of metaheuristic algorithms, like Ant Colony Optimisation (ACO) for example, has gained popularity, and they perform well for a given static layout. However, their computational complexity precludes their use in simultaneous layout and hydraulic optimisation, where a complete hydraulic optimisation has to be performed for each layout. This paper proposes a computationally efficient method for near optimal hydraulic design of a gravity sewer network. It makes use of required minimum slope information to heuristically determine optimal pipe sizes and slopes. The method is used to solve two benchmark problems and is shown to obtain good solutions while being computationally extremely efficient. Therefore it is ideally suited to be used in combination with a metaheuristic algorithm aimed at optimising the network layout.

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Section: Required Spare Capacitymentioning

confidence: 94%

Section: Hydraulic Optimisationmentioning

confidence: 99%

Sewer network design: Heuristic algorithm for hydraulic optimisation

Villiers¹,

Rooyen

Middendorf

2017

J. S. Afr. Inst. Civ. Eng.

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“…According to the different types of wastewater (sewage and/or stormwater) collected in WWCNs, there are generally (a) Anytown network [13] (b) Li and Matthew network [18] two types of WWCNs, i.e., combined sewer systems and separate sewer systems. The combined sewer systems [25] (aka combined sewage or sewerage systems) which are common in old urban wastewater systems are adopted to transport both stormwater (e.g., rainwater, snow, hail, etc.)…”

Section: B Wastewater Collection Networkmentioning

confidence: 99%

“…3b also depicts a relatively complex gravity sewer network proposed by Li and Matthew [18], in which the arcs denote the sewers and the nodes denote the manholes. It was designed for the residential area of Shengli Oilfield in China with a drainage area and population of 2.6 km 2 and 10,000, respectively, where the wastewater is delivered to outlet 56 for treatment.…”

Section: B Wastewater Collection Networkmentioning

confidence: 99%

“…The manhole cost could be a function of the manhole depth (the deepest excavation depth of the sewers connecting to the manhole) [121] and also the maximum sewer diameter connecting to the manhole [6]. The construction cost of pumping stations can be related to the design flow rate [18]. Some studies have also annualized the capital expenditure based on the rate of interest and, the life, salvage factor and maintenance cost of various physical components [4].…”

Section: A Cost Function and Constraintsmentioning

confidence: 99%

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Optimization of Potable Water Distribution and Wastewater Collection Networks: A Systematic Review and Future Research Directions

Zhao

Beach

Rezgui

2016

IEEE Trans. Syst. Man Cybern, Syst.

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Abstract-Potable water distribution networks (WDNs) and wastewater collection networks (WWCNs) are the two fundamental constituents of the complex urban water infrastructure. Such water networks require adapted design interventions as part of retrofitting, extension and maintenance activities. Consequently, proper optimization methodologies are required to reduce the associated capital cost while also meeting the demands of acquiring clean water and releasing wastewater by consumers. In this paper, a systematic review of the optimization of both WDNs and WWCNs, from the preliminary stages of development through to the state-of-the-art, is jointly presented. Firstly, both WDNs and WWCNs are conceptually and functionally described along with illustrative benchmarks. The optimization of water networks across both clean and waste domains is then systematically reviewed and organized, covering all levels of complexity from the formulation of cost functions and constraints, through to traditional and advanced optimization methodologies. The rationales behind employing these methodologies as well as their advantages and disadvantages are investigated. The paper then critically discusses current trends and identifies directions for future research by comparing the existing optimization paradigms within WDNs and WWCNs and proposing common research directions for optimizing water networks. Optimization of urban water networks is a multidisciplinary domain, within which this paper is anticipated to be of great benefit to researchers and practitioners.

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Vulnerability assessment of urban drainage network using relevance‐based centrality metrics

Simone

2023

River

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The analysis of urban drainage networks (UDNs) is one of the most important topics in the study of water systems. The interest in strategies aimed at analyzing the impacts of sewer pipes failure on the urban drainage system operation is growing, and the need of developing methodologies aimed at vulnerability assessment and system management is increasingly important. To this purpose, the present work shows and discusses the use of complex network theory. In particular, the recently developed relevance‐based centrality metrics have been used to classify UDNs and to identify the most critical pipes. First, the relevance‐based degree is applied to the direct graph of the drainage network to classify the systems. Afterward, the relevance‐based edge betweenness is used for ranking the importance, that is, the criticality with respect to fluxes, for the pipes. The relevance‐based metrics assign importance to the network elements (pipes and nodes), considering both the intrinsic relevance of nodes and the network connectivity structure. Results provide useful information to support pipe maintenance programs to be prepared for malfunctioning events by means of a criticality analysis in advance.The relevance‐based metrics are presented by using the direct graph of a simple example network, and they are then applied both to a benchmark and a real urban drainage system to show the effectiveness even for real systems.

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New Approach for Optimization of Urban Drainage Systems

Cited by 85 publications

References 9 publications

Sewer network design: Heuristic algorithm for hydraulic optimisation

Sewer network design: Heuristic algorithm for hydraulic optimisation

Optimization of Potable Water Distribution and Wastewater Collection Networks: A Systematic Review and Future Research Directions

Vulnerability assessment of urban drainage network using relevance‐based centrality metrics

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