Identifying the best locations to install flow control devices in sewer networks to enable in-sewer storage

Leitão, João P.; Carbajal, Juan Pablo; Rieckermann, Jörg; Simões, Nuno; Marques, Alfeu Sá; Sousa, Luís Moreira de

doi:10.1016/j.jhydrol.2017.11.020

Cited by 27 publications

(21 citation statements)

References 13 publications

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“…In this work, the third option was used, i.e., a maximal number of generations G without a change in the objective function value. Considering the characteristics of the problem and based on previous experiences [25], a stopping criterion of 1000 generations without change was selected. As in the calibration of the population size, the choice of stopping criteria must prevent premature convergence, guaranteeing a good exploration and exploitation of the SS.…”

Section: Methodsmentioning

confidence: 99%

“…The optimization model analyzes the replacement of the pipes based on their transport capacity. The diameter may increase if the original pipe is insufficient to transport the flowing water or decrease if a hydraulic control device [25] should be installed to introduce the same head loss as the calculated pipe's diameter. Consequently, the DV is the size of the pipes, and can vary from 0 (not replace) to a maximum value set before beginning the optimization process.…”

Section: Decision Variablesmentioning

confidence: 99%

“…There are some previous studies oriented to the pre-locating of STs [25]. However, in this case methodology described in Figure 1 is used as a basic tool to determine the possible locations of the STs.…”

Section: Pre-locating Storm Tanksmentioning

confidence: 99%

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Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

Ngamalieu-Nengoue

Iglesias-Rey

Martínez-Solano

et al. 2019

Water

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The drainage networks of our cities are currently experiencing a growing increase in runoff flows, caused mainly by the waterproofing of the soil and the effects of climate change. Consequently, networks originally designed correctly must endure floods with frequencies much higher than those considered in the design phase. The solution of such a problem is to improve the network. There are several ways to rehabilitate a network: conduit substitution as a former method or current methods such as storm tank installation or combined use of conduit substitution and storm tank installation. To find an optimal solution, deterministic or heuristic optimization methods are used. In this paper, a methodology for the rehabilitation of these drainage networks based on the combined use of the installation of storm tanks and the substitution of some conduits of the system is presented. For this, a cost-optimization method and a pseudo-genetic heuristic algorithm, whose efficiency has been validated in other fields, are applied. The Storm Water Management Model (SWMM) model for hydraulic analysis of drainage and sanitation networks is used. The methodology has been applied to a sector of the drainage network of the city of Bogota in Colombia, showing how the combined use of storm tanks and conduits leads to lower cost rehabilitation solutions.Most of the previous works about the usage of STs are focused on the issue of maximizing the quality of poured water, not to control the potential overflows that may occur due to excessive rainwater, but some studies have been carried out in order to show that STs can also reduce floods. One of the first studies that relate the usage of STs with the rainwater variation due to climate change was done by Andrés-Domenech et al. [10]. The study focused on the effects originating from changes in the rainfall regimes on the efficiency of the actual drainage systems. The proposed analytical statistical model permits us to evaluate the overflow reduction efficiency and the retention tank's volumetric efficiency as a function of the expected climate behavior and urban basins. The tank's efficiency sensitivity is evaluated under the analysis of certain changes in the precipitation. The results show the ability of STs to partially mitigate the resulting effects of climate change. Andrés-Domenech et al. based their work in the same approach as Butler and Schütze [11]: integrate simulation models to obtain an optimum control of the sanitary draining systems. For this purpose, Butler and Schütze developed a model (SYNOPSIS) consisting of a series of sub-models of the sewage network, the treatment plant and the behavior of the natural stream over which the system's evacuation will be made. These sub-models, together with a developed control module, allow the development of water control strategies in order to minimize the impact on the water evacuation. The use of simulation techniques is simple for urban wastewaters. Moreover, the simulation techniques enable water control solutions that were not possi...

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Section: Methodsmentioning

confidence: 99%

Section: Decision Variablesmentioning

confidence: 99%

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Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

Ngamalieu-Nengoue

Iglesias-Rey

Martínez-Solano

et al. 2019

Water

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“…Interface methods, development tools to interface with GIS, have been used to assess and improve the management and planning of drainage networks (Halfawy et al, 2007) and to enhance applications such as the optimal placement of model elements or system controllers (Leitão et al, 2018;Nielsen et al, 2017;Riaño-Briceño et al, 2016;van Daal-Rombouts et al, 2016). Many commercial packages, which have started to upgrade to communicate drainage modelling with GIS, in their recent versions, are trying to utilise a GIS database to improve the drainage system layout.…”

Section: Introductionmentioning

confidence: 99%

Modelling data of an urban drainage design using a Geographic Information System (GIS) database

Abbas

Salloom

Ruddock

et al. 2019

Journal of Hydrology

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“…The optimization model analyzes the replacement of the pipes based on their transport capacity. The diameter may increase if the original pipe is insufficient to transport the flowing water or decrease if a hydraulic control device [53] should be installed to introduce the same head loss as the calculated pipe's diameter. Consequently, the DV is the size of the pipes, and can vary from 0 (not replace) to a maximum value set before beginning the optimization process.…”

Section: Decision Variablesmentioning

confidence: 99%

Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

Nengoue¹

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Drainage networks rehabilitation is one of the fundamental process that managers and responsible need to implement to adapt defective networks to climate change and urbanization adverse effects. In the literature, pipes substitution or storm tanks (STs) installation are the two scenarios presented by authors. In this thesis, a third scenario proposed combine pipes substitution and STs installation for drainage networks rehabilitation. Results of several simulations on various networks showed that the combine use of pipes substitution and STs installation in drainage networks rehabilitation provides better results than separation of the two rehabilitation scenarios. Unfortunately, such rehabilitation methodologies are computationally time consumers. They need much time to provide acceptable solutions which are often caught up in local minima. The aim of this thesis is to propose a drainage networks rehabilitation methodology based on the combine use of pipes substitution and STs installation. The methodology considers search space reduction (SSR) technique. The adopted strategy combines in a structured methodology four key options aiming at reducing the search space (SS) of the problem: • Reduce the number of nodes in which STs could potentially be installed. • Reduce the number of lines in which there could potentially be a change in diameter • Reduce the discretization that is made of the section of each of the STs. • Reduce the number of candidate diameters in the pipes. Once the search space is reduced, the pseudo genetic algorithm (PGA) used in this thesis for single objective (SO) optimization can easily explore the search space in less time resulting in the obtention of better results.

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Identifying the best locations to install flow control devices in sewer networks to enable in-sewer storage

Cited by 27 publications

References 13 publications

Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

Modelling data of an urban drainage design using a Geographic Information System (GIS) database

Urban Drainage Network Rehabilitation Considering Storm Tank Installation and Pipe Substitution

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