Tailoring Centrality Metrics for Water Distribution Networks

2019 ◽  
Vol 55 (3) ◽  
pp. 2348-2369 ◽  
Author(s):  
Orazio Giustolisi ◽  
Luca Ridolfi ◽  
Antonietta Simone
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Centrality Metrics

scholarly journals Little Knowledge Isn’t Always Dangerous—Understanding Water Distribution Networks Using Centrality Metrics

2014 ◽  
Vol 2 (2) ◽  
pp. 225-238 ◽  
Author(s):  
Iyswarya Narayanan ◽  
Arunchandar Vasan ◽  
Venkatesh Sarangan ◽  
Jamsheeda Kadengal ◽  
Anand Sivasubramaniam
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Centrality Metrics

scholarly journals Centrality Metrics for Water Distribution Networks

10.29007/7lxd ◽  
2018 ◽  
Author(s):  
Antonietta Simone ◽  
Luca Ridolfi ◽  
Daniele Laucelli ◽  
Luigi Berardi ◽  
Orazio Giustolisi
Keyword(s):  
Network Theory ◽  
Water Distribution ◽  
Distribution Networks ◽  
Point Of View ◽  
Networked Systems ◽  
Water Distribution Networks ◽  
Physical Systems ◽  
Complex Network Theory ◽  
Infrastructure Networks ◽  
Centrality Metrics

Complex Network Theory (CNT) studies theoretical and physical systems as networks, considering their features deriving from the internal connectivity between elements defined as vertex and links. In order to quantify the importance of these elements in real networked systems, researches proposed several centrality metrics.The use of CNT centrality metrics for analysis, planning and management of infrastructure networks (streets, water systems, etc.), for example in terms of reliability and vulnerability, is today a relevant issue also considering their influences in socio- economics and environmental matters. From CNT standpoint, water distribution networks (WDNs) are infrastructure networks that can be analyzed considering some peculiar features deriving from their spatial characteristics.The paper focuses on CNT centrality metrics and proposes novel hydraulic centrality metrics useful for understanding the WDNs behavior. Furthermore, the study is intended to evaluate the feasibility of coupling hydraulic and topologic centrality metrics based on links, in order to obtain information that are more useful from the hydraulic point of view. This way, centrality metrics of the CNT become a complementary tool to hydraulic modelling for WDNs analysis and management.

Edge betweenness for water distribution networks domain analysis

2019 ◽  
Vol 22 (1) ◽  
pp. 121-131 ◽  
Author(s):  
Antonietta Simone ◽  
Francesco G. Ciliberti ◽  
Daniele B. Laucelli ◽  
Luigi Berardi ◽  
Orazio Giustolisi
Keyword(s):  
Water Distribution ◽  
Shortest Paths ◽  
Distribution Networks ◽  
Domain Analysis ◽  
Water Distribution Networks ◽  
Complex Network Theory ◽  
Topological Features ◽  
Hydraulic Behaviour ◽  
Centrality Metrics ◽  
Edge Betweenness

Abstract Complex network theory (CNT) studies the relevance of elements in networks using centrality metrics. From the CNT standpoint, water distribution networks (WDNs) are infrastructure networks composed by vertices, named nodes, connected to each other by edges, named pipes, that transfer water to customers following a transfer process based on shortest paths. The present paper proposes the domain analysis of several real WDNs using the edge betweenness in order to capture the hydraulic behaviour based on network structure, i.e., for understanding the role of topological features in the emergent hydraulic behaviour. The strategy is obtained by tailoring CNT studies and tools in order to (i) embed the different hydraulic roles of sources and demand nodes, (ii) move the classic concept of centrality from the nodes to the pipes, i.e., the technically relevant components for WDNs and (iii) include information related to the directional devices, because they constrain flow directions. Results show the usefulness of the novel WDN-tailored edge betweenness for the WDN domain analysis. Therefore, the metric can represent a useful tool for supporting WDNs analysis, design and management tasks.

scholarly journals Leak localization in water distribution networks using classifiers with cosenoidal features

2020 ◽  
Vol 53 (2) ◽  
pp. 16697-16702
Author(s):  
I. Santos-Ruiz ◽  
J. Blesa ◽  
V. Puig ◽  
F.R. López-Estrada
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Leak Localization

scholarly journals Bottom-Up Generation of Peak Demand Scenarios in Water Distribution Networks

2020 ◽  
Vol 13 (1) ◽  
pp. 31
Author(s):  
Enrico Creaco ◽  
Giacomo Galuppini ◽  
Alberto Campisano ◽  
Marco Franchini
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Peak Demand ◽  
Long Time ◽  
Cross Correlations ◽  
User Demand ◽  
One Year ◽  
The One ◽  
Best Fit

This paper presents a two-step methodology for the stochastic generation of snapshot peak demand scenarios in water distribution networks (WDNs), each of which is based on a single combination of demand values at WDN nodes. The methodology describes the hourly demand at both nodal and WDN scales through a beta probabilistic model, which is flexible enough to suit both small and large demand aggregations in terms of mean, standard deviation, and skewness. The first step of the methodology enables generating separately the peak demand samples at WDN nodes. Then, in the second step, the nodal demand samples are consistently reordered to build snapshot demand scenarios for the WDN, while respecting the rank cross-correlations at lag 0. The applications concerned the one-year long dataset of about 1000 user demand values from the district of Soccavo, Naples (Italy). Best-fit scaling equations were constructed to express the main statistics of peak demand as a function of the average demand value on a long-time horizon, i.e., one year. The results of applications to four case studies proved the methodology effective and robust for various numbers and sizes of users.

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