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Extending the Application of Connectivity Metrics for Characterizing the Dynamic Behavior of Water Distribution Networks.

Authors :
Marsili, V.
Alvisi, S.
Maietta, F.
Capponi, C.
Meniconi, S.
Brunone, B.
Franchini, M.
Source :
Water Resources Research; Aug2023, Vol. 59 Issue 8, p1-17, 17p
Publication Year :
2023

Abstract

Water distribution networks (WDNs) are complex combinations of nodes and links, and the current tendency is to modify their topological structure through the closure of isolation valves for monitoring and water quality reasons. For their analysis, several approaches based on graph theory have recently been proposed, mainly considering steady‐state flow conditions. However, in their real functioning, WDNs are continuously subjected to pressure transients generated by maneuvers on regulation devices or by users' activity. This study investigates the application of some metrics from graph theory, already used in the context of steady‐state analysis, for assessing the effects of changes in the topological structure of a network—due for example, to sectorization or branching operations—on its transient response when subjected to maneuvers on devices such as hydrants, pumps, etc. or users' activity. The analysis shows that some connectivity metrics can effectively reflect the dynamic pressure behavior of the network and, thus, provide useful indications for design and management operations taking into account unsteady flow features. Key Points: Analysis of changes in the transient response of a Water Distribution Network (WDN) due to topological structure modificationsApplication of Connectivity Metrics (CMs) for characterizing the transient response of a WDNAnalysis of the pro and cons of different CMs in reflecting the dynamic behavior of a WDN [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00431397
Volume :
59
Issue :
8
Database :
Complementary Index
Journal :
Water Resources Research
Publication Type :
Academic Journal
Accession number :
170749496
Full Text :
https://doi.org/10.1029/2023WR035031