A New Vulnerability Measure for Water Distribution Network

Maiolo, Mario; Pantusa, Daniela; Carini, Manuela; Capano, Gilda; Chiaravalloti, Francesco; Procopio, Antonio

doi:10.3390/w10081005

Cited by 27 publications

(12 citation statements)

References 38 publications

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“…In terms of risk decision, Zhang (1983) et al were the first to apply the fuzzy set theory to risk decision [7]. Subsequent research basically used model results to support decision/policy-making, optimize the allocation of water resources, and efficiently collect and utilize water resources [8][9][10][11][12][13][14][15][16][17][18][19]. In terms of the large-scale multi-objective model and the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) method, most of the research is focused on water resource management [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Application of NSGA-II and Improved Risk Decision Method for Integrated Water Resources Management of Malian River Basin

Gao

Zhang²,

Zhang

et al. 2019

Water

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The Malian River Basin is the Longdong grain elevator and a new oil and energy base of East Gansu Province. Limited water resources programming utilization is a key for the development of the socio-economic and energy industry, as well as the improvement of the ecological environment. An analytical framework for assessing socioeconomic development, rational allocation of water resources, and guiding policy development is proposed in this study. A decision tree method was used in the risk analysis and was improved by introducing the expert advisory probabilistic method into the sensitivity analysis to reduce cognitive bias. A large-system multi-objective model was developed to solve the problem of the rational allocation of available water resources and for benefit maximization among water users. The Non-dominated Sorting Genetic Algorithm-Ⅱ (NSGA-II) method was used to generate a solution. The water supply amount within the basin was 8.69 × 108 m3 and the water shortage rate was 15.90%. The optimization model method had better distribution results than the weights method without new water supply. Through the model method results, the water saving potential was found and the related policies were proposed. The framework and methods can further provide a reference for both the planning of water resources and the formulation of regulatory policies and will greatly alleviate water crises in semi-arid areas.

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Section: Introductionmentioning

confidence: 99%

Application of NSGA-II and Improved Risk Decision Method for Integrated Water Resources Management of Malian River Basin

Gao

Zhang²,

Zhang

et al. 2019

Water

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“…The obtained fractal dimension values were compared with another indicator characterizing the topology of water supply networks (i.e., the average value of the node-degree distribution). This indicator was calculated using the formula provided below [33], which was also employed, among others, by Yazdani and Jefffry [21] and Maiolo et al [24] in its modified form:…”

Section: Methods Based On Fractal Dimensionmentioning

confidence: 99%

“…Maiolo et al [23] proposed a method of evaluation using the vulnerability measure. This task was tested, among others, at the network proposed by Ozger and Mays [24] (2 reservoirs, 13 nodes, and 21 pipes).…”

Section: Introductionmentioning

confidence: 99%

Impact Assessment of Distribution Network Layout on the Reliability of Water Delivery

Kowalski

Kowalska

Bławucki

et al. 2019

Water

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The process of shaping distribution network structures is one of the most fundamental design tasks, and determines the delivery certainty of media transported by them. It is especially crucial with reference to network elements of a critical character, such as roads or water supply, sewage, or electrical networks. In urban conditions, the geometric shaping of these structures has a quasi-chaotic character that is individual for each network and city. The complexity of these networks increases significantly with the size of a city, and therefore the evaluation of water delivery certainty is also a difficult issue. Despite many years of research, there is no universal method to evaluate this certainty. The objective of this paper is to present two original approaches: the number of minimal efficiency paths from a water source to reference consumption nodes, and the relation of this number to the fractal dimension of a network’s geometric structure. The developed methods were tested in the conditions of a few real water supply networks. The obtained results indicate that the analyzed methods can be used for the preliminary and relatively rapid evaluation of water delivery certainty.

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“…Shuang et al (2017) identified the vulnerable pipes in WDNs by evaluation of system reliability and failure propagation time by focusing on the balance of water supply and demand. Maiolo et al (2018) evaluated the vulnerability by measuring the significance of the demand deficit during pipe failures in WDNs.…”

Section: Hydraulic Reliability Analysismentioning

confidence: 99%

The emergence and evolution of reliability theory for water distribution networks

Zarghami

Gunawan

2020

BEPAM

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PurposeAs a response to the growing operational and disruptive threats to water distribution networks (WDNs), researchers have developed a vast array of methods for the reliability analysis of WDNs. In order to follow this growing number of methods, this paper reviews and documents in one place the historical developments in the reliability analysis of WDN.Design/methodology/approachA systematic literature review (SLR) is carried out to summarize the state-of-the-art research on reliability analysis of WDNs. In conducting this systemic literature review, the authors adopted an iterative approach to define appropriate keywords, analyze and synthesize data and finalizing the classification results.FindingsFirst, the hydraulic approach to reliability analysis is currently pervasive, and relatively little academic research has addressed the topological reliability analysis of WDNs. Second, in order to provide a comprehensive picture of the network reliability, a different approach that integrates topological and hydraulic attributes seems a more effective method. Third, the conventional reliability analysis methods are only effective for demonstrating a snapshot of these networks at a given point in time. The availability of methods that enable researchers to evaluate the reliability in response to changes in its variables is still a major challenge.Originality/valueThe present paper facilitates future research in the reliability analysis of WDNs by providing a source of references for researchers and water utilities. Further, this article makes a contribution to the literature by offering a roadmap for future reliability analysis of WDNs by reviewing the evolution of the current reliability analysis methods throughout history.

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A New Vulnerability Measure for Water Distribution Network

Cited by 27 publications

References 38 publications

Application of NSGA-II and Improved Risk Decision Method for Integrated Water Resources Management of Malian River Basin

Application of NSGA-II and Improved Risk Decision Method for Integrated Water Resources Management of Malian River Basin

Impact Assessment of Distribution Network Layout on the Reliability of Water Delivery

The emergence and evolution of reliability theory for water distribution networks

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