Vulnerability of sewer network – graph theoretic approach

Ganesan, B.; Sundareswaran, R.; Ramalingam, Sujatha; Turan, Mustafa Erkan; Bacak-Turan, Gökşen

doi:10.5004/dwt.2020.25744

Cited by 8 publications

(3 citation statements)

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“…Hajiamoosha and Urich (2020) compared two different representations of UDNs and evaluated the UDN vulnerability using a range of topological metrics. Ganesan et al (2020) proposed a vulnerability analysis of UDNs using the CNT centrality metrics. They identified the most important nodes with respect to more applications in the field of system monitoring.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

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

Simone

2023

River

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“…In recent years, some authors have developed strategies for the analysis and monitoring of SNs also based on the Complex Network Theory (CNT) tools, i.e., by using the system topology as basis of the analysis, considerably reducing the calculation times (Hesarkazzazi et al, 2022). Ganesan et al (2020) proposed the use of CNT centrality metrics (harmonic and betweenness) for identifying the most suitable nodes for positioning sensors. Zuluaga et al (2020) proposed a CNT based methodology to model and simulate water quality parameters in a hydrological basin to evaluate the spreading of contaminant in SNs.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of sewer systems: optimization model based on search space reduction through a topological metric

Simone

Cristo

Fecarotta

et al. 2023

Preprint

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Sewer monitoring is a very relevant and current topic, also supporting management and maintenance activities, with interventions aimed at reducing the impacts on receiving water bodies as much as possible. Moreover, wastewater monitoring is crucial also for epidemiological purpose with the diffusion of the wastewater-based epidemiology (WBE), as emerged during the Covid pandemic for individuating the virus presence on a community-level. The planning of monitoring systems, allowing for the identification of the number of sensors and their positioning in the network, have been delegated for a long time to the judgment of expert technicians, sometimes resorting to trial-and-error strategies. Only recently, the impellent need for controlling such systems, mainly with respect to the presence of illicit spills and the spread of epidemics, have fostered the proposal of further increasingly efficient monitoring strategies with contained computational effort. In this perspective, the present paper proposes a novel two-step strategy for the optimal design of monitoring system in sewer systems. The first step aims at reducing the system's search space using a relevance-based topological metric, which provides a ranking of the most suitable nodes to host sensors. The second step acts on the reduced search space through an optimization procedure aiming at searching for the best location of a fixed number of sensors, with specific threshold value, in order to maximize the reliability of the monitoring system in detecting target substances or contaminant. The results demonstrate that shrinking the search space considerably reduces the computational times providing very reliable solutions.

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“…Recently, Ganesan et al. (2020) studied the vulnerability of UDNs using CNT and centrality metrics (harmonic and betweenness) identifying the most important nodes in the network useful for further applications in the field of system monitoring. Reyes‐Silva et al.…”

Section: Introductionmentioning

confidence: 99%

Potentialities of Complex Network Theory Tools for Urban Drainage Networks Analysis

Cesaro

Giudice

Cristo

et al. 2022

Water Resources Research

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Vulnerability of sewer network – graph theoretic approach

Cited by 8 publications

References 0 publications

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

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

Monitoring of sewer systems: optimization model based on search space reduction through a topological metric

Potentialities of Complex Network Theory Tools for Urban Drainage Networks Analysis

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